Index (flag4j 0.1.0-beta API)

A B C D E F G H I J K L M N O P Q R S T U V W X Z
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

abbreviatedArray(double[], int, int, int, boolean) - Static method in class org.flag4j.io.PrettyPrint: Formats array as an abbreviated array so that no more than maxEntries is actually printed.
abbreviatedArray(int[][], int, int, int, int, boolean) - Static method in class org.flag4j.io.PrettyPrint: Formats array as an abbreviated array so that no more than maxCols is actually printed.
abbreviatedArray(int[], int, int, boolean) - Static method in class org.flag4j.io.PrettyPrint: Formats array as an abbreviated array so that no more than maxEntries is actually printed.
abbreviatedArray(T[], int, int, int, boolean) - Static method in class org.flag4j.io.PrettyPrint: Formats array as an abbreviated array so that no more than maxEntries is actually printed.
abs() - Method in interface org.flag4j.algebraic_structures.Ring: Computes the absolute value of this ring element.
abs() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldTensor: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldVector: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Computes the element-wise absolute value of this tensor.
abs() - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.dense.FieldTensor: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.dense.RingMatrix: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.dense.RingTensor: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.dense.RingVector: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.sparse.CooRingTensor: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.sparse.CooRingVector: Computes the element-wise absolute value of this tensor.
abs() - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Computes the element-wise absolute value of this tensor.
abs(double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealOps: Computes the element-wise absolute value of a tensor.
abs(T[], double[]) - Static method in class org.flag4j.linalg.ops.common.ring_ops.RingOps: Computes the element-wise absolute value of an array.
AbstractCooFieldMatrix<T,U,V,W> - Class in org.flag4j.arrays.backend.field_arrays: A sparse matrix stored in coordinate list (COO) format.
AbstractCooFieldMatrix(Shape, W[], int[], int[]) - Constructor for class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
AbstractCooFieldTensor<T,U,V> - Class in org.flag4j.arrays.backend.field_arrays: Base class for all sparse Field tensors stored in coordinate list (COO) format.
AbstractCooFieldTensor(Shape, V[], int[][]) - Constructor for class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldTensor: Creates a tensor with the specified data and shape.
AbstractCooFieldVector<T,U,V,W,Y> - Class in org.flag4j.arrays.backend.field_arrays: A sparse vector stored in coordinate list (COO) format.
AbstractCooFieldVector(Shape, Y[], int[]) - Constructor for class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldVector: Creates a tensor with the specified data and shape.
AbstractCooRingMatrix<T,U,V,W> - Class in org.flag4j.arrays.backend.ring_arrays: A sparse matrix stored in coordinate list (COO) format.
AbstractCooRingMatrix(Shape, W[], int[], int[]) - Constructor for class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
AbstractCooRingTensor<T,U,V> - Class in org.flag4j.arrays.backend.ring_arrays: Base class for all sparse Ring tensors stored in coordinate list (COO) format.
AbstractCooRingTensor(Shape, V[], int[][]) - Constructor for class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingTensor: Creates a tensor with the specified data and shape.
AbstractCooRingVector<T,U,V,W,Y> - Class in org.flag4j.arrays.backend.ring_arrays: A sparse vector stored in coordinate list (COO) format.
AbstractCooRingVector(Shape, Y[], int[]) - Constructor for class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingVector: Creates a COO vector with the specified data and shape.
AbstractCooSemiringMatrix<T,U,V,W> - Class in org.flag4j.arrays.backend.semiring_arrays: A sparse matrix stored in coordinate list (COO) format.
AbstractCooSemiringMatrix(Shape, W[], int[], int[]) - Constructor for class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
AbstractCooSemiringTensor<T,U,V> - Class in org.flag4j.arrays.backend.semiring_arrays: Base class for all sparse tensors stored in coordinate list (COO) format.
AbstractCooSemiringTensor(Shape, V[], int[][]) - Constructor for class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Creates a tensor with the specified data and shape.
AbstractCooSemiringVector<T,U,V,W,Y> - Class in org.flag4j.arrays.backend.semiring_arrays: A sparse vector stored in coordinate list (COO) format.
AbstractCooSemiringVector(Shape, Y[], int[]) - Constructor for class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Creates a sparse COO semiring vector with the specified data and shape.
AbstractCsrFieldMatrix<T,U,V,W> - Class in org.flag4j.arrays.backend.field_arrays
AbstractCsrFieldMatrix(Shape, W[], int[], int[]) - Constructor for class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Creates a sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
AbstractCsrRingMatrix<T,U,V,W> - Class in org.flag4j.arrays.backend.ring_arrays: A sparse matrix stored in compressed sparse row (CSR) format.
AbstractCsrRingMatrix(Shape, W[], int[], int[]) - Constructor for class org.flag4j.arrays.backend.ring_arrays.AbstractCsrRingMatrix: Creates a sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
AbstractCsrSemiringMatrix<T,U,V,W> - Class in org.flag4j.arrays.backend.semiring_arrays: A sparse matrix stored in compressed sparse row (CSR) format.
AbstractCsrSemiringMatrix(Shape, W[], int[], int[]) - Constructor for class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Creates a sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
AbstractDenseDoubleTensor<T> - Class in org.flag4j.arrays.backend.primitive_arrays: This is the base class of all real primitive double tensors.
AbstractDenseDoubleTensor(Shape, double[]) - Constructor for class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Creates a tensor with the specified data and shape.
AbstractDenseFieldMatrix<T,U,V> - Class in org.flag4j.arrays.backend.field_arrays
AbstractDenseFieldMatrix(Shape, V[]) - Constructor for class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Creates a tensor with the specified data and shape.
AbstractDenseFieldTensor<T,V> - Class in org.flag4j.arrays.backend.field_arrays: The base class for all dense Field tensors.
AbstractDenseFieldTensor(Shape, V[]) - Constructor for class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldTensor: Creates a tensor with the specified data and shape.
AbstractDenseFieldVector<T,U,V> - Class in org.flag4j.arrays.backend.field_arrays: The base class for all dense vectors whose data are Field elements.
AbstractDenseFieldVector(Shape, V[]) - Constructor for class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Creates a tensor with the specified data and shape.
AbstractDenseRingMatrix<T,U,V> - Class in org.flag4j.arrays.backend.ring_arrays: The base class for all dense matrices whose elements are members of a Ring.
AbstractDenseRingMatrix(Shape, V[]) - Constructor for class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingMatrix: Creates a tensor with the specified data and shape.
AbstractDenseRingTensor<T,V> - Class in org.flag4j.arrays.backend.ring_arrays: The base class for all dense Ring tensors.
AbstractDenseRingTensor(Shape, V[]) - Constructor for class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingTensor: Creates a tensor with the specified data and shape.
AbstractDenseRingVector<T,U,V> - Class in org.flag4j.arrays.backend.ring_arrays: The base class for all dense vectors whose data are Ring elements.
AbstractDenseRingVector(Shape, V[]) - Constructor for class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingVector: Creates a tensor with the specified data and shape.
AbstractDenseSemiringMatrix<T,U,V> - Class in org.flag4j.arrays.backend.semiring_arrays: The base class for all dense matrices whose elements are members of a Semiring.
AbstractDenseSemiringMatrix(Shape, V[]) - Constructor for class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Creates a tensor with the specified data and shape.
AbstractDenseSemiringTensor<T,V> - Class in org.flag4j.arrays.backend.semiring_arrays: The base class for all dense Semiring tensors.
AbstractDenseSemiringTensor(Shape, V[]) - Constructor for class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Creates a tensor with the specified data and shape.
AbstractDenseSemiringVector<T,U,V> - Class in org.flag4j.arrays.backend.semiring_arrays: The base class for all dense vectors whose data are Semiring elements.
AbstractDenseSemiringVector(Shape, V[]) - Constructor for class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Constructs a dense semiring vector with the specified data and shape.
AbstractDoubleTensor<T> - Class in org.flag4j.arrays.backend.primitive_arrays: This is the base class of all real primitive double tensors, matrices, or vectors.
AbstractDoubleTensor(Shape, double[]) - Constructor for class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Creates a tensor with the specified data and shape.
AbstractTensor<T,U,V> - Class in org.flag4j.arrays.backend: The base abstract class for all tensors, including matrices and vectors.
AbstractTensor(Shape, U) - Constructor for class org.flag4j.arrays.backend.AbstractTensor: Creates a tensor with the specified data and shape.
accept(MatrixVisitor<R>) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.dense.CMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.dense.FieldMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.dense.Matrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.dense.RingMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.sparse.CooMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Accepts a visitor that implements the MatrixVisitor interface.
accept(MatrixVisitor<R>) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Accepts a visitor that implements the MatrixVisitor interface.
acos(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the inverse cosine of a complex value.
acos(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the inverse cosine of a complex value.
add(double) - Method in class org.flag4j.algebraic_structures.Complex128: Sums an elements of this field with a real number.
add(double) - Method in interface org.flag4j.algebraic_structures.Field: Sums an element of this field with a real number (associative and commutative).
add(double) - Method in class org.flag4j.algebraic_structures.RealFloat32: Sums an element of this field with a real number (associative and commutative).
add(double) - Method in class org.flag4j.algebraic_structures.RealFloat64: Sums an element of this field with a real number (associative and commutative).
add(double) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Adds a primitive scalar value to each entry of this tensor.
add(double) - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Adds a primitive scalar value to each entry of this tensor.
add(double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Adds a primitive scalar value to each entry of this tensor.
add(double) - Method in class org.flag4j.arrays.sparse.CooMatrix: Adds a scalar value to each non-zero element of this tensor.
add(double) - Method in class org.flag4j.arrays.sparse.CooTensor: Adds a scalar value to each non-zero value of this tensor.
add(double) - Method in class org.flag4j.arrays.sparse.CooVector: Adds a scalar value to each non-zero element of this tensor.
add(double[], double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Computes the element-wise addition of two tensors.
add(double[], double, double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Adds a scalar to every element of a tensor.
add(double[], T, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Adds a scalar value to all data of a tensor.
add(double[], T, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseVectorOps: Adds a scalar value to all data of a tensor.
add(double[], V, V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Adds a scalar value to each entry of the src tensor.
add(float) - Method in class org.flag4j.algebraic_structures.Complex64: Sums an elements of this field with a real number.
add(Double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Adds a scalar value to each entry of this tensor.
add(Double) - Method in class org.flag4j.arrays.sparse.CooTensor: Adds a scalar field value to each non-zero entry of this tensor.
add(Double) - Method in class org.flag4j.arrays.sparse.CooVector: Adds a scalar field value to each entry of this tensor.
add(BoolSemiring) - Method in class org.flag4j.algebraic_structures.BoolSemiring: Performs the addition operation of this semiring, defined as logical OR.
add(Complex128) - Method in class org.flag4j.algebraic_structures.Complex128: Sums two elements of this field (associative and commutative).
add(Complex128) - Method in class org.flag4j.arrays.dense.Matrix: Adds a complex-valued scalar to each entry of this matrix.
add(Complex128) - Method in class org.flag4j.arrays.dense.Tensor: Adds a complex-valued scalar value to each entry of this tensor.
add(Complex128) - Method in class org.flag4j.arrays.dense.Vector: Adds a complex-valued scalar value to each entry of this tensor.
add(Complex128) - Method in class org.flag4j.arrays.sparse.CooMatrix: Adds a scalar value to each non-zero element of this tensor.
add(Complex128) - Method in class org.flag4j.arrays.sparse.CooVector: Adds a scalar field value to each non-zero entry of this tensor.
add(Complex128) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Adds a complex-valued scalar to all non-zero data of this sparse matrix.
add(Complex64) - Method in class org.flag4j.algebraic_structures.Complex64: Sums two elements of this field (associative and commutative).
add(RealFloat32) - Method in class org.flag4j.algebraic_structures.RealFloat32: Sums two elements of this field (associative and commutative).
add(RealFloat64) - Method in class org.flag4j.algebraic_structures.RealFloat64: Sums two elements of this field (associative and commutative).
add(RealInt16) - Method in class org.flag4j.algebraic_structures.RealInt16: Sums two elements of this ring (associative and commutative).
add(RealInt32) - Method in class org.flag4j.algebraic_structures.RealInt32: Sums two elements of this field (associative and commutative).
add(AbstractCooFieldTensor<?, ?, T>, Field<T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldTensorOps: Adds a scalar to a complex sparse COO tensor.
add(AbstractCsrFieldMatrix<?, ?, ?, T>, AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.field_ops.DenseCsrFieldOps: Computes the element-wise sum of two matrices.
add(AbstractDenseFieldMatrix<?, ?, T>, AbstractCooFieldMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatrixOps: Computes the element-wise sum of a dense matrix to a sparse COO matrix.
add(AbstractDenseFieldMatrix<?, ?, T>, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatrixOps: Adds a real dense matrix to a real sparse matrix.
add(AbstractDenseFieldTensor<?, T>, AbstractCooFieldTensor<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldTensorOps: Computes element-wise addition of a dense tensor with a sparse COO tensor.
add(AbstractDenseFieldTensor<?, T>, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooOps: Adds a dense complex tensor to a real sparse tensor.
add(AbstractDenseFieldVector<?, ?, T>, AbstractCooFieldVector<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldVectorOps: Computes the element-wise addition between a dense complex vector and sparse complex vectors.
add(AbstractDenseFieldVector<?, ?, T>, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Adds a complex dense matrix to a real sparse matrix.
add(CMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Sums this matrix with a complex dense matrix.
add(CTensor) - Method in class org.flag4j.arrays.dense.Tensor: Computes the element-wise sum between two tensors of the same shape.
add(CVector) - Method in class org.flag4j.arrays.dense.Vector: Adds a complex dense vector to this vector.
add(Matrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the element-wise sum between two tensors of the same shape.
add(Matrix, CooCMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooMatOps: Adds a real dense matrix to a complex sparse matrix.
add(Matrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatrixOps: Adds a real dense matrix to a real sparse matrix.
add(Tensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise sum between two tensors of the same shape.
add(Tensor, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseCooTensorOps: Adds a real dense tensor to a real sparse tensor.
add(Vector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise sum between two tensors of the same shape.
add(Vector, CooCVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseVectorOps: Adds a real dense matrix to a complex sparse matrix.
add(Vector, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseVectorOps: Adds a real dense vector to a real sparse vector.
add(Shape, double[], Shape, Complex128[], int[][], Complex128[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooOps: Computes element-wise sum between a real dense tensor to a sparse COO complex tensor.
add(Shape, T[], int[], Shape, T[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringVectorOps: Computes the element-wise vector addition between two real sparse vectors.
add(Shape, T[], Shape, double[], T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Computes the element-wise addition of two tensors.
add(Shape, V[], int[][], Shape, V[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringTensorOps: Sums two complex sparse COO tensors and stores result in a new COO tensor.
add(Shape, V[], int[], int[], Shape, V[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringMatrixOps: Adds two sparse matrices.
add(SmartMatrix) - Method in class org.flag4j.arrays.SmartMatrix: Computes the element-wise sum of two matrices.
add(CooCMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the element-wise sum between two tensors of the same shape.
add(CooCMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Sums this matrix with a real sparse COO matrix.
add(CooCMatrix, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Adds a double all data (including zero values) of a complex sparse matrix.
add(CooCMatrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Adds a real sparse matrix to a complex sparse matrix.
add(CooCTensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise sum between two tensors of the same shape.
add(CooCTensor) - Method in class org.flag4j.arrays.dense.Tensor: Computes the element-wise sum between two tensors of the same shape.
add(CooCTensor) - Method in class org.flag4j.arrays.sparse.CooTensor: Computes the element-wise sum between two tensors of the same shape.
add(CooCTensor, double) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooOps: Adds a scalar to a real sparse COO tensor.
add(CooCTensor, CooTensor) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexCooTensorOps: Sums two sparse COO tensors and stores result in a new COO tensor.
add(CooCVector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise sum between two tensors of the same shape.
add(CooCVector) - Method in class org.flag4j.arrays.dense.Vector: Adds a complex sparse vector to this vector.
add(CooCVector) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the element-wise sum between two tensors of the same shape.
add(CooCVector, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseVectorOps: Adds a real number to each entry of a sparse vector, including the zero data.
add(CooCVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseVectorOps: Computes the element-wise vector addition between a real sparse vector and a complex sparse vector.
add(CooMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the element-wise sum between two tensors of the same shape.
add(CooMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Sums this matrix with a real sparse COO matrix.
add(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the element-wise sum between two tensors of the same shape.
add(CooMatrix, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixOps: Adds a double all data (including zero values) of a real sparse matrix.
add(CooMatrix, Complex128) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Adds a complex number to all data (including zero values) of a real sparse matrix.
add(CooMatrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixOps: Adds two real sparse matrices.
add(CooTensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise sum between two tensors of the same shape.
add(CooTensor) - Method in class org.flag4j.arrays.dense.Tensor: Computes the element-wise sum between two tensors of the same shape.
add(CooTensor) - Method in class org.flag4j.arrays.sparse.CooTensor: Computes the element-wise sum between two tensors of the same shape.
add(CooTensor, double) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseCooTensorOps: Adds a scalar to a real sparse COO tensor.
add(CooTensor, Complex128) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooOps: Adds a scalar to a real sparse COO tensor.
add(CooTensor, CooTensor) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooTensorOps: Sums two sparse COO tensors and stores result in a new COO tensor.
add(CooVector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise sum between two tensors of the same shape.
add(CooVector) - Method in class org.flag4j.arrays.dense.Vector: Adds a real sparse vector to this vector.
add(CooVector) - Method in class org.flag4j.arrays.sparse.CooCVector: Computes the element-wise sum of two vectors.
add(CooVector) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the element-wise sum between two tensors of the same shape.
add(CooVector, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooVectorOps: Adds a real number to each entry of a sparse vector, including the zero data.
add(CooVector, Complex128) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseVectorOps: Adds a real number to each entry of a sparse vector, including the zero data.
add(CooVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooVectorOps: Computes the element-wise vector addition between two real sparse vectors.
add(CsrCMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Sums this matrix with a real sparse CSR matrix.
add(CsrCMatrix, Matrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_complex.RealComplexCsrDenseOps: Computes the element-wise sum of two matrices.
add(CsrCMatrix, CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrOps: Computes the element-wise sum of two matrices.
add(CsrMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Sums this matrix with a real sparse CSR matrix.
add(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the element-wise sum between two tensors of the same shape.
add(CsrMatrix, AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrOps: Computes the element-wise sum of two matrices.
add(CsrMatrix, Matrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real.RealCsrDenseOps: Computes the element-wise sum of two matrices.
add(T) - Method in interface org.flag4j.algebraic_structures.Semiring: Sums two elements of this semiring (associative and commutative).
add(T) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Computes the element-wise sum of two matrices.
add(T) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the element-wise sum between two tensors of the same shape.
add(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Computes the element-wise sum between two tensors of the same shape.
add(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Computes the element-wise sum between two tensors of the same shape.
add(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Computes the element-wise sum between two tensors of the same shape.
add(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Computes the element-wise sum between two tensors of the same shape.
add(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Computes the element-wise sum between two tensors of the same shape.
add(T) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Computes the element-wise sum between two tensors of the same shape.
add(T[], double, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Adds a scalar value to all data of a tensor.
add(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringOps: Computes the element-wise addition of two tensors.
add(T[], T, T[]) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.SemiringOps: Sums a value to each entry of tensor.
add(V) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Adds a scalar value to each entry of this tensor.
add(V) - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Adds a scalar value to each entry of this tensor.
add(V) - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Adds a scalar value to each entry of this tensor.
add(V[], double, V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Adds a primitive scalar value to each entry of the src tensor.
add(W) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Adds a scalar value to each entry of this tensor.
addEq(double) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Adds a primitive scalar value to each entry of this tensor and stores the result in this tensor.
addEq(double) - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Adds a primitive scalar value to each entry of this tensor and stores the result in this tensor.
addEq(double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Adds a primitive scalar value to each entry of this tensor and stores the result in this tensor.
addEq(double[], double) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Adds a scalar from each entry of this tensor and stores the result in the tensor.
addEq(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Computes element-wise addition between tensors and stores the result in the first tensor.
addEq(Double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Adds a scalar value to each entry of this tensor and stores the result in this tensor.
addEq(Double) - Method in class org.flag4j.arrays.sparse.CooTensor: Adds a scalar value to each non-zero entry of this tensor and stores the result in this tensor.
addEq(Double) - Method in class org.flag4j.arrays.sparse.CooVector: Adds a scalar value to each entry of this tensor and stores the result in this tensor.
addEq(AbstractDenseFieldMatrix<?, ?, T>, AbstractCooFieldMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatrixOps: Adds a complex dense matrix to a real sparse matrix and stores the result in the first matrix.
addEq(AbstractDenseFieldMatrix<?, ?, T>, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatrixOps: Adds a complex dense matrix to a real sparse matrix and stores the result in the first matrix.
addEq(AbstractDenseFieldTensor<?, T>, AbstractCooFieldTensor<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldTensorOps: Computes element-wise addition of a dense tensor with a sparse COO tensor.
addEq(AbstractDenseFieldTensor<?, T>, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooOps: Computes element-wise addition between a complex dense tensor and a real sparse tensor.
addEq(AbstractDenseFieldVector<?, ?, T>, AbstractCooFieldVector<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldVectorOps: Computes the element-wise addition between a dense complex vector and sparse complex vectors.
addEq(AbstractDenseFieldVector<?, ?, T>, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Computes the vector addition between a dense complex vector and a sparse real vector.
addEq(Matrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatrixOps: Adds a real dense matrix to a real sparse matrix and stores the result in the first matrix.
addEq(Tensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise sum between two tensors of the same shape and stores hte result in this tensor.
addEq(Tensor, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseCooTensorOps: Adds a real dense tensor to a real sparse tensor and stores the result in the first tensor.
addEq(Vector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise sum between two tensors of the same shape and stores the result in this tensor.
addEq(Vector) - Method in class org.flag4j.arrays.dense.Vector: Computes the element-wise sum between two tensors and stores the result in this tensor.
addEq(Vector, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseVectorOps: Adds a real dense vector to a real sparse vector and stores the result in the first vector.
addEq(T) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the element-wise sum between two tensors of the same shape and stores the result in this tensor.
addEq(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Computes the element-wise sum between two tensors of the same shape and stores the result in this tensor.
addEq(V) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Adds a scalar value to each entry of this tensor and stores the result in this tensor.
addEq(V) - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Adds a scalar value to each entry of this tensor and stores the result in this tensor.
addEq(V) - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Adds a scalar value to each entry of this tensor and stores the result in this tensor.
addEq(W) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Adds a scalar value to each entry of this tensor and stores the result in this tensor.
addInv() - Method in class org.flag4j.algebraic_structures.Complex128: Computes the additive inverse for an element of this field.
addInv() - Method in class org.flag4j.algebraic_structures.Complex64: Computes the additive inverse for an element of this field.
addInv() - Method in class org.flag4j.algebraic_structures.RealFloat32: Computes the additive inverse for an element of this field.
addInv() - Method in class org.flag4j.algebraic_structures.RealFloat64: Computes the additive inverse for an element of this field.
addInv() - Method in class org.flag4j.algebraic_structures.RealInt16: Computes the additive inverse for an element of this ring.
addInv() - Method in class org.flag4j.algebraic_structures.RealInt32: Computes the additive inverse for an element of this field.
addInv() - Method in interface org.flag4j.algebraic_structures.Ring: Computes the additive inverse for an element of this ring.
addToEachCol(AbstractCooFieldMatrix<?, ?, ?, T>, AbstractDenseFieldVector<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatrixOps: Adds a dense vector to each column as if the vector is a column vector.
addToEachCol(CooCMatrix, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Adds a sparse vector to each column of a sparse matrix as if the vector is a column vector.
addToEachCol(CooMatrix, Vector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatrixOps: Adds a dense vector to each column as if the vector is a column vector.
addToEachCol(CooMatrix, CooCVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Adds a sparse vector to each column of a sparse matrix as if the vector is a column vector.
addToEachCol(CooMatrix, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixOps: Adds a sparse vector to each column of a sparse matrix as if the vector is a column vector.
addToEachCol(CsrCMatrix, Vector) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrOps: Adds a vector to each column of a matrix.
addToEachCol(CsrCMatrix, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrOps: Adds a vector to each column of a matrix.
addToEachRow(AbstractCooFieldMatrix<?, ?, ?, T>, AbstractDenseFieldVector<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatrixOps: Adds a dense vector to add to each row as if the vector is a row vector.
addToEachRow(CooCMatrix, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Adds a sparse vector to each row of a sparse matrix as if the vector is a row vector.
addToEachRow(CooMatrix, Vector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatrixOps: Adds a dense vector to add to each row as if the vector is a row vector.
addToEachRow(CooMatrix, CooCVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Adds a sparse vector to each row of a sparse matrix as if the vector is a row vector.
addToEachRow(CooMatrix, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixOps: Adds a sparse vector to each row of a sparse matrix as if the vector is a row vector.
addToEachRow(CsrCMatrix, Vector) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrOps: Adds a vector to each row of a matrix.
addToEachRow(CsrCMatrix, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrOps: Adds a vector to each row of a matrix.
AddVisitor - Class in org.flag4j.arrays.backend.smart_visitors
AddVisitor(MatrixMixin<?, ?, ?, ?>) - Constructor for class org.flag4j.arrays.backend.smart_visitors.AddVisitor
AggregateDenseReal - Class in org.flag4j.linalg.ops.dense.real: This class contains several low-level methods useful for computing aggregation ops on dense tensors.
AggregateReal - Class in org.flag4j.linalg.ops.common.real: This utility class contains several low-level methods useful for computing aggregation ops on dense/sparse tensors.
AggregateSemiring - Class in org.flag4j.linalg.ops.common.semiring_ops: This utility class contains methods useful for aggregating arrays of Semiring's.
allClose(double[], double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Checks if all data of two arrays are 'close'.
allClose(double[], double[], double, double) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Checks if all data of two arrays are 'close'.
allClose(AbstractCsrRingMatrix<?, ?, ?, T>, AbstractCsrRingMatrix<?, ?, ?, T>, double, double) - Static method in class org.flag4j.linalg.ops.sparse.csr.ring_ops.CsrRingProperties: Checks if all data of this tensor are close to the data of the argument tensor.
allClose(CsrMatrix, CsrMatrix, double, double) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrEquals: Checks if all data of this tensor are close to the data of the argument tensor.
allClose(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Checks if all data of this matrix are 'close' as defined below.
allClose(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldTensor: Checks if all data of this matrix are 'close' as defined below.
allClose(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Checks if all data of this matrix are 'close' as defined below.
allClose(T) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Checks if all data of this matrix are 'close' as defined below.
allClose(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCsrRingMatrix: Checks if two sparse CSR ring matrices are element-wise equal within the following tolerance for two entries x and y:
allClose(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingMatrix: Checks if two sparse CSR ring matrices are element-wise equal within the following tolerance for two entries x and y:
allClose(T[], T[]) - Static method in class org.flag4j.linalg.ops.common.ring_ops.RingProperties: Checks if all data of two arrays are 'close'.
allClose(T[], T[], double, double) - Static method in class org.flag4j.linalg.ops.common.ring_ops.RingProperties: Checks if all data of two arrays are 'close'.
allClose(T, double, double) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Checks if all data of this matrix are 'close' as defined below.
allClose(T, double, double) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldTensor: Checks if all data of this matrix are 'close' as defined below.
allClose(T, double, double) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Checks if all data of this matrix are 'close' as defined below.
allClose(T, double, double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Checks if all data of this matrix are 'close' as defined below.
allClose(T, double, double) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCsrRingMatrix: Checks if two matrices are element-wise equal within the tolerance specified by relTol and absTol.
allClose(T, double, double) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingMatrix: Checks if two matrices are element-wise equal within the tolerance specified by relTol and absTol.
allCloseMatrix(CooMatrix, CooMatrix, double, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseEquals: Checks that all non-zero data are "close" according to RealProperties.allClose(double[], double[]) and * all indices are the same.
allCloseTensor(CooTensor, CooTensor, double, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseEquals: Checks that all non-zero data are "close" according to RealProperties.allClose(double[], double[], double, double) and all indices are the same.
allCloseVector(CooVector, CooVector, double, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseEquals: Checks that all non-zero data are "close" according to RealProperties.allClose(double[], double[]) and all indices are the same.
and(BoolSemiring) - Method in class org.flag4j.algebraic_structures.BoolSemiring: Computes the logical AND of this BoolSemiring with another.
apply(double[], Shape, double[], Shape) - Method in interface org.flag4j.linalg.ops.RealDenseTensorBinaryOperation: Applies the specified binary operation on the two tensors.
apply(int, int) - Method in interface org.flag4j.concurrency.TensorOperation: Applies a tensor operation over the specified index range.
apply(T[], Shape, T[], Shape, T[]) - Method in interface org.flag4j.concurrency.DenseSemiringTensorBinaryOperation: Applies the specified binary operation on the two dense tensors.
applyBinOpp(AbstractCsrFieldMatrix<?, ?, ?, T>, double, BinaryOperator<T>, UnaryOperator<Double>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.field_ops.DenseCsrFieldOps: Applies the specified binary operator element-wise to a matrix and a scalar.
applyBinOpp(AbstractCsrFieldMatrix<?, ?, ?, T>, AbstractDenseFieldMatrix<?, ?, T>, BinaryOperator<T>, UnaryOperator<T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.field_ops.DenseCsrFieldOps: Applies the specified binary operator element-wise to the two matrices.
applyBinOpp(AbstractCsrFieldMatrix<?, ?, ?, T>, T, BinaryOperator<T>, UnaryOperator<T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.field_ops.DenseCsrFieldOps: Applies the specified binary operator element-wise to a matrix and a scalar.
applyBinOpp(AbstractDenseFieldMatrix<?, ?, T>, AbstractCsrFieldMatrix<?, ?, ?, T>, BinaryOperator<T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.field_ops.DenseCsrFieldOps: Applies the specified binary operator element-wise to the two matrices.
applyBinOpp(AbstractDenseFieldMatrix<?, ?, T>, CsrMatrix, BiFunction<T, Double, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrOps: Applies the specified binary operator element-wise to the two matrices.
applyBinOpp(Matrix, CsrCMatrix, BiFunction<Double, Complex128, Complex128>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_complex.RealComplexCsrDenseOps: Applies the specified binary operator element-wise to the two matrices.
applyBinOpp(Matrix, CsrMatrix, BinaryOperator<Double>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real.RealCsrDenseOps: Applies the specified binary operator element-wise to the two matrices.
applyBinOpp(Shape, T[], int[], int[], Shape, T[], int[], int[], BinaryOperator<T>, UnaryOperator<T>) - Static method in class org.flag4j.linalg.ops.sparse.csr.CsrOps: Applies an element-wise binary operation to two csr matrices.
applyBinOpp(CsrCMatrix, Matrix, BiFunction<Complex128, Double, Complex128>, UnaryOperator<Double>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_complex.RealComplexCsrDenseOps: Applies the specified binary operator element-wise to the two matrices.
applyBinOpp(CsrCMatrix, CsrMatrix, BiFunction<Complex128, Double, Complex128>, UnaryOperator<Double>) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrOps: Applies an element-wise binary operation to two CSR Matrices.
applyBinOpp(CsrMatrix, double, BinaryOperator<Double>, UnaryOperator<Double>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real.RealCsrDenseOps: Applies the specified binary operator element-wise to a matrix and a scalar.
applyBinOpp(CsrMatrix, Complex128, BiFunction<Double, Complex128, Complex128>, UnaryOperator<Complex128>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_complex.RealComplexCsrDenseOps: Applies the specified binary operator element-wise to a matrix and a scalar.
applyBinOpp(CsrMatrix, AbstractDenseFieldMatrix<?, ?, T>, BiFunction<Double, T, T>, UnaryOperator<T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrOps: Applies the specified binary operator element-wise to the two matrices.
applyBinOpp(CsrMatrix, Matrix, BinaryOperator<Double>, UnaryOperator<Double>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real.RealCsrDenseOps: Applies the specified binary operator element-wise to the two matrices.
applyBinOpp(CsrMatrix, CsrCMatrix, BiFunction<Double, Complex128, Complex128>, UnaryOperator<Complex128>) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrOps: Applies an element-wise binary operation to two CSR Matrices.
applyBinOpp(CsrMatrix, CsrMatrix, BinaryOperator<Double>, UnaryOperator<Double>) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrOps: Applies an element-wise binary operation to two CSR Matrices.
applyBinOppToSparse(AbstractDenseFieldMatrix<?, ?, T>, AbstractCsrFieldMatrix<?, ?, ?, T>, BinaryOperator<T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.field_ops.DenseCsrFieldOps: Applies an element-wise binary operation to a real dense and real sparse CSR matrix under the assumption that opp.apply(x, 0d) = 0d and opp.apply(0d, x) = 0d.
applyBinOppToSparse(AbstractDenseFieldMatrix<?, ?, T>, CsrMatrix, BiFunction<T, Double, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrOps: Applies an element-wise binary operation to a real dense and real sparse CSR matrix under the assumption that opp.apply(x, 0d) = 0d and opp.apply(0d, x) = 0d.
applyBinOppToSparse(Matrix, AbstractCsrFieldMatrix<?, ?, ?, T>, BiFunction<Double, T, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrOps: Applies an element-wise binary operation to a real dense and real sparse CSR matrix under the assumption that opp.apply(x, 0d) = 0d and opp.apply(0d, x) = 0d.
applyBinOppToSparse(Matrix, CsrMatrix, BinaryOperator<Double>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real.RealCsrDenseOps: Applies an element-wise binary operation to a real dense and real sparse CSR matrix under the assumption that opp.apply(x, 0d) = 0d and opp.apply(0d, x) = 0d.
applyBinOppToSparse(CsrMatrix, AbstractDenseFieldMatrix<?, ?, T>, BiFunction<Double, T, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrOps: Applies an element-wise binary operation to a real sparse and complex dense CSR matrix under the assumption that opp.apply(0d, x) = 0d where x is a Complex128.
applyDoubleShiftReflector(int, boolean) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Applies reflector for the double shift.
applyDoubleShiftReflector(int, boolean) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Applies reflector for the double shift.
applyReflector(int, int) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Applies the constructed Householder reflector which has been constructed for the given shift size.
applyReflector(int, int) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Applies the constructed Householder reflector which has been constructed for the given shift size.
applySingleShiftReflector(int, boolean) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Applies reflector for the double shift.
applySingleShiftReflector(int, boolean) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Applies reflector for the double shift.
applyTransform(double[], Function<Double, Complex128>) - Static method in class org.flag4j.util.ArrayUtils: Applies a transform to an array.
applyTransform(double[], UnaryOperator<Double>) - Static method in class org.flag4j.util.ArrayUtils: Applies a transform to an array.
applyTransform(Complex128[], Function<Complex128, Double>) - Static method in class org.flag4j.util.ArrayUtils: Applies a transform to an array.
applyTransform(T[], UnaryOperator<T>) - Static method in class org.flag4j.util.ArrayUtils: Applies a transform to an array.
applyUpdate - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Flag indicating if a HouseholderOld reflector was needed for the current column meaning the UnitaryDecomposition.transformMatrix should be updated.
arg(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the complex argument function for a complex number.
arg(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the complex argument function for a complex number.
argEq(double[], double) - Static method in class org.flag4j.linalg.ops.dense.real.AggregateDenseReal: Computes the index of the first entry in a tensor which is equal to the specified value.
argEq(int[], int) - Static method in class org.flag4j.linalg.ops.dense.real.AggregateDenseReal: Computes the index of the first entry in a tensor which is equal to the specified value.
argmax() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Finds the indices of the maximum value in this tensor.
argmax() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Finds the indices of the maximum value in this tensor.
argmax() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Finds the indices of the maximum value in this tensor.
argmax() - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Finds the indices of the maximum value in this tensor.
argmax() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Finds the indices of the maximum value in this tensor.
argmax() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Finds the indices of the maximum (non-zero) value in this tensor.
argmax() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Finds the indices of the maximum value in this tensor.
argmax() - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Finds the indices of the maximum value in this tensor.
argmax() - Method in class org.flag4j.arrays.sparse.CooMatrix: Finds the indices of the maximum value in this tensor.
argmax() - Method in class org.flag4j.arrays.sparse.CooTensor: Finds the indices of the maximum value in this tensor.
argmax() - Method in class org.flag4j.arrays.sparse.CooVector: Finds the indices of the maximum value in this tensor.
argmax() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Finds the indices of the maximum value in this tensor.
argmax(double...) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Finds the index of the maximum value within a tensor.
argmax(double[]) - Static method in class org.flag4j.linalg.ops.dense.real.AggregateDenseReal: Computes the index of the maximum value in this tensor.
argmax(Complex128...) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the index of the maximum magnitude from an array of complex numbers.
argmax(Complex64...) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the index of the maximum magnitude from an array of complex numbers.
argmax(T...) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.CompareSemiring: Computes the index of the maximum value in the specified array.
argmaxAbs() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Finds the indices of the maximum absolute value in this tensor.
argmaxAbs() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Finds the indices of the maximum absolute value in this tensor.
argmaxAbs() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingTensor: Finds the indices of the maximum absolute value in this tensor.
argmaxAbs() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Finds the indices of the maximum absolute value in this tensor.
argmaxAbs() - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Finds the indices of the maximum absolute value in this tensor.
argmaxAbs() - Method in class org.flag4j.arrays.sparse.CooMatrix: Finds the indices of the maximum absolute value in this tensor.
argmaxAbs() - Method in class org.flag4j.arrays.sparse.CooTensor: Finds the indices of the maximum absolute value in this tensor.
argmaxAbs() - Method in class org.flag4j.arrays.sparse.CooVector: Finds the indices of the maximum absolute value in this tensor.
argmaxAbs() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Finds the indices of the maximum absolute value in this tensor.
argmaxAbs(double...) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Finds the first index of the maximum absolute value within a tensor.
argmaxAbs(double[]) - Static method in class org.flag4j.linalg.ops.dense.real.AggregateDenseReal: Computes the index of the maximum absolute value in this tensor.
argmaxAbs(T...) - Static method in class org.flag4j.linalg.ops.common.ring_ops.CompareRing: Computes the index of the maximum absolute value in the specified array.
argmaxReal(Complex128...) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the index of the minimum real component from an array of complex numbers.
argmaxReal(Complex64...) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the index of the minimum real component from an array of complex numbers.
argmin() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Finds the indices of the minimum value in this tensor.
argmin() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Finds the indices of the minimum value in this tensor.
argmin() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Finds the indices of the minimum value in this tensor.
argmin() - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Finds the indices of the minimum value in this tensor.
argmin() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Finds the indices of the minimum value in this tensor.
argmin() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Finds the indices of the minimum (non-zero) value in this tensor.
argmin() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Finds the indices of the minimum value in this tensor.
argmin() - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Finds the indices of the minimum value in this tensor.
argmin() - Method in class org.flag4j.arrays.sparse.CooMatrix: Finds the indices of the minimum value in this tensor.
argmin() - Method in class org.flag4j.arrays.sparse.CooTensor: Finds the indices of the minimum value in this tensor.
argmin() - Method in class org.flag4j.arrays.sparse.CooVector: Finds the indices of the minimum value in this tensor.
argmin() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Finds the indices of the minimum value in this tensor.
argmin(double...) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Finds the index of the minimum value within a tensor.
argmin(double[]) - Static method in class org.flag4j.linalg.ops.dense.real.AggregateDenseReal: Computes the index of the minimum value in this tensor.
argmin(Complex128...) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the index of the minimum magnitude from an array of complex numbers.
argmin(Complex64...) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the index of the minimum magnitude from an array of complex numbers.
argmin(T...) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.CompareSemiring: Computes the index of the minimum value in the specified array.
argminAbs() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Finds the indices of the minimum absolute value in this tensor.
argminAbs() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Finds the indices of the minimum absolute value in this tensor.
argminAbs() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingTensor: Finds the indices of the minimum absolute value in this tensor.
argminAbs() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Finds the indices of the minimum absolute value in this tensor.
argminAbs() - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Finds the indices of the minimum absolute value in this tensor.
argminAbs() - Method in class org.flag4j.arrays.sparse.CooMatrix: Finds the indices of the minimum absolute value in this tensor.
argminAbs() - Method in class org.flag4j.arrays.sparse.CooTensor: Finds the indices of the minimum absolute value in this tensor.
argminAbs() - Method in class org.flag4j.arrays.sparse.CooVector: Finds the indices of the minimum absolute value in this tensor.
argminAbs() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Finds the indices of the minimum absolute value in this tensor.
argminAbs(double...) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Finds the index of the minimum absolute value within a tensor.
argminAbs(double[]) - Static method in class org.flag4j.linalg.ops.dense.real.AggregateDenseReal: Computes the index of the minimum absolute value in this tensor.
argminAbs(T...) - Static method in class org.flag4j.linalg.ops.common.ring_ops.CompareRing: Computes the index of the minimum absolute value in the specified array.
argminReal(Complex128...) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the index of the minimum real component from an array of complex numbers.
argminReal(Complex64...) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the index of the minimum real component from an array of complex numbers.
ARRAY - Enum constant in enum class org.flag4j.io.MatrixMarketHeader.MMFormat
ArrayBuilder - Class in org.flag4j.util: The ArrayBuilder class provides a collection of static utility methods to construct, initialize, and manipulate arrays in various ways.
ArrayConversions - Class in org.flag4j.util: The ArrayConversions class provides utility methods for converting between various array types and formats.
arraycopy(double[], int, Complex128[], int, int) - Static method in class org.flag4j.util.ArrayUtils: Performs an array copy similar to System.arraycopy(Object, int, Object, int, int) but wraps doubles as complex numbers.
arraycopy(float[], int, Complex64[], int, int) - Static method in class org.flag4j.util.ArrayUtils: Performs an array copy similar to System.arraycopy(Object, int, Object, int, int) but wraps floats as complex numbers.
ArrayJoiner - Class in org.flag4j.util: The ArrayJoiner class provides utility methods for combining and repeating arrays.
ArrayUtils - Class in org.flag4j.util: The ArrayUtils class provides a set of utility methods for performing operations on arrays.
asDouble(int[], double[]) - Static method in class org.flag4j.util.ArrayConversions: Converts an array of ints to an array of doubles.
asDouble(Integer[], double[]) - Static method in class org.flag4j.util.ArrayConversions: Converts an array of Integers to an array of doubles.
asin(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the inverse sine of a complex value.
asin(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the inverse sine of a complex value.
atan(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the inverse tangent of a complex value.
atan(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the inverse tangent of a complex value.
atan2(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the 2 argument arc-tangent function for a complex number.
atan2(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the 2 argument arc-tangent function for a complex number.
augment(Matrix) - Method in class org.flag4j.arrays.dense.Matrix: Stacks matrices along rows.
augment(Vector) - Method in class org.flag4j.arrays.dense.Matrix: Augments a vector to this matrix.
augment(CooCMatrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexCooConcats: Augments two matrices.
augment(CooCMatrix, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexCooConcats: Augments a real sparse COO vector to a complex sparse COO matrix.
augment(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Augments a real COO matrix to this matrix.
augment(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Stacks matrices along rows.
augment(CooVector) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Augments a vector to this matrix.
augment(CooVector) - Method in class org.flag4j.arrays.sparse.CooMatrix: Augments a vector to this matrix.
augment(CooVector) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Augments a vector to this matrix.
augment(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Stacks matrices along rows.
augment(T) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Stacks matrices along rows.
augment(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Stacks matrices along rows.
augment(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Stacks matrices along rows.
augment(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Stacks matrices along rows.
augment(T[], int[], int[], int, T[], int[], int[], T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooConcat: Augments two matrices.
augment(U) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Augments a vector to this matrix.
augment(V) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Augments a vector to this matrix.
augment(V) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Augments a vector to this matrix.
augment(V) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Augments a vector to this matrix.
augmentVector(T[], int[], int[], int, T[], int[], T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooConcat: Augments two matrices.

B

backSolver - Variable in class org.flag4j.linalg.solvers.exact.ExactSolver: Backwards solver for solving system with upper triangular coefficient matrix.
backSolver - Variable in class org.flag4j.linalg.solvers.lstsq.LstsqSolver: Solver for system with an upper triangular coefficient matrix.
BackSolver<T,U,V> - Class in org.flag4j.linalg.solvers.exact.triangular: Base class for solvers which solve a linear system of equations U*x=b or U*X=B where U is an upper triangular matrix.
BackSolver(boolean) - Constructor for class org.flag4j.linalg.solvers.exact.triangular.BackSolver: Creates a solver for solving linear systems for upper triangular coefficient matrices.
balancedMatrix - Variable in class org.flag4j.linalg.decompositions.balance.Balancer: Stores the balanced matrix.
Balancer<T> - Class in org.flag4j.linalg.decompositions.balance: Base class for all decompositions which implement matrix balancing.
Balancer(boolean, boolean, boolean) - Constructor for class org.flag4j.linalg.decompositions.balance.Balancer
binarySearchCoo(int[][], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseElementSearch: Performs a binary search of the indices of a sparse COO tensor to find a target index.
blocked(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the matrix multiplication of two real dense matrices using a blocked algorithm.
blocked(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a blocked algorithm.
blocked(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a blocked algorithm.
blocked(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the matrix multiplication of two dense matrices using a blocked algorithm.
BLOCKED - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
BLOCKED - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
BLOCKED_REORDERED - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
BLOCKED_REORDERED - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
BLOCKED_VECTOR - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
BLOCKED_VECTOR - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
blockedIntMatrix(int[][]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseTranspose: Transposes an integer matrix using a blocked algorithm.
blockedMatrix(double[], int, int) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseTranspose: Transposes a matrix using a blocked algorithm.
blockedMatrix(Object[], int, int, Object[]) - Static method in class org.flag4j.linalg.ops.dense.DenseTranspose: Transposes a matrix using a blocked algorithm.
blockedMatrixConcurrent(double[], int, int) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseTranspose: Computes the transpose of a matrix using a blocked concurrent algorithm.
blockedMatrixConcurrent(Object[], int, int, Object[]) - Static method in class org.flag4j.linalg.ops.dense.DenseTranspose: Computes the transpose of a matrix using a blocked concurrent algorithm.
blockedMatrixConcurrentHerm(T[], int, int, T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingHermitianTranspose: Computes the complex conjugate transpose of a matrix using a blocked concurrent algorithm.
blockedMatrixHerm(T[], int, int, T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingHermitianTranspose: Computes complex conjugate transpose of a matrix using a blocked algorithm.
blockedReordered(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the matrix multiplication of two real dense matrices using a blocked algorithm with the j-k loops swapped.
blockedReordered(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a blocked algorithm with the j-k loops swapped.
blockedReordered(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a blocked algorithm with the j-k loops swapped.
blockedReordered(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the matrix multiplication of two dense matrices using a blocked algorithm with the j-k loops swapped.
blockedVector(double[], Shape, double[], int[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatMult: Computes the dense matrix sparse vector multiplication using a blocked algorithm.
blockedVector(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the multiplication of a real dense matrix with a real dense vector using a blocked algorithm.
blockedVector(double[], Shape, T[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the dense matrix sparse vector multiplication using a blocked algorithm.
blockedVector(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the multiplication of a real dense matrix with a dense field vector using a blocked algorithm.
blockedVector(T[], Shape, double[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the dense matrix sparse vector multiplication using a blocked algorithm.
blockedVector(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the multiplication of a real dense matrix with a dense field vector using a blocked algorithm.
blockedVector(T[], Shape, T[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMult: Computes the dense matrix sparse vector multiplication using a blocked algorithm.
blockedVector(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the multiplication of a dense matrix with a dense vector using a blocked algorithm.
BoolSemiring - Class in org.flag4j.algebraic_structures: Represents an immutable boolean value within a semiring structure.
BoolSemiring(boolean) - Constructor for class org.flag4j.algebraic_structures.BoolSemiring: Constructs a BoolSemiring semiring element with the specified boolean value.
BoolSemiring(int) - Constructor for class org.flag4j.algebraic_structures.BoolSemiring: Constructs a BoolSemiring semiring element from an integer.
boxed(double[]) - Static method in class org.flag4j.util.ArrayConversions: Converts a primitive array to an array of equivalent boxed type.
boxed(int[]) - Static method in class org.flag4j.util.ArrayConversions: Converts a primitive array to an array of equivalent boxed type.

C

center(String, int) - Static method in class org.flag4j.util.StringUtils: Centers a string within a specified size bin.
center(String, int, String) - Static method in class org.flag4j.util.StringUtils: Centers a string within a specified size bin.
centerIm - Variable in class org.flag4j.rng.distributions.Complex128UniformDisk: Imaginary value of the center of the annulus in the complex plane.
centerRe - Variable in class org.flag4j.rng.distributions.Complex128UniformDisk: Real value of the center of the annulus in the complex plane.
checkConvergence(int) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Checks for convergence of lower 2x2 sub-matrix within working matrix to upper triangular or block upper triangular form.
checkConvergence(int) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Checks for convergence of lower 2x2 sub-matrix within working matrix to upper triangular or block upper triangular form.
checkConvergence(int) - Method in class org.flag4j.linalg.decompositions.schur.Schur: Checks for convergence of lower 2x2 sub-matrix within working matrix to upper triangular or block upper triangular form.
checkFinite - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Flag indicating if a check should be made during the decomposition that the working matrix contains only finite values.
checkParams(T, int) - Method in class org.flag4j.linalg.solvers.exact.triangular.BackSolver: Ensures passed parameters are valid for the back solver.
checkParams(T, int) - Method in class org.flag4j.linalg.solvers.exact.triangular.ForwardSolver: Ensures passed parameters are valid for the back solver.
checkSingular(double, int, int) - Method in class org.flag4j.linalg.solvers.exact.triangular.BackSolver: Checks if the coefficient matrix is singular based on the computed determinant.
checkSingular(double, int, int) - Method in class org.flag4j.linalg.solvers.exact.triangular.ForwardSolver: Checks if the coefficient matrix is singular based on the computed determinant.
checkSize(int, int) - Method in class org.flag4j.linalg.solvers.exact.ExactTensorSolver: Ensures that aNumEntries==prod.
Cholesky<T> - Class in org.flag4j.linalg.decompositions.chol: This abstract class specifies methods for computing the Cholesky decomposition of a positive-definite matrix.
Cholesky(boolean) - Constructor for class org.flag4j.linalg.decompositions.chol.Cholesky: Constructs a Cholesky decomposer.
chooseAlgorithmComplex(Shape, Shape) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dynamically chooses matrix multiply algorithm based on the shapes of the two matrices to multiply.
chooseAlgorithmComplexTranspose(Shape) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dynamically chooses the matrix multiplication-transpose algorithm to used based on the shape of the first matrix.
chooseAlgorithmComplexVector(Shape) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dynamically chooses matrix-vector multiply algorithm based on the shapes of the matrix to multiply.
chooseAlgorithmRealComplex(Shape, Shape) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dynamically chooses matrix multiply algorithm based on the shapes of the two matrices to multiply.
chooseAlgorithmRealComplexTranspose(Shape) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dynamically chooses the matrix multiplication-transpose algorithm to used based on the shape of the first matrix.
chooseAlgorithmRealComplexVector(Shape) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dynamically chooses matrix-vector multiply algorithm based on the shapes of the matrix to multiply.
chooseAlgorithmRealVector(Shape) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dynamically chooses matrix-vector multiply algorithm based on the shapes of the matrix to multiply.
CMatrix - Class in org.flag4j.arrays.dense: Instances of this class represents a complex dense matrix backed by a Complex128 array.
CMatrix(double[][]) - Constructor for class org.flag4j.arrays.dense.CMatrix: Constructs a complex matrix from a 2D array of double values.
CMatrix(int) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates a square zero matrix with the specified size.
CMatrix(int, int) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates a zero matrix with the specified shape.
CMatrix(int, int, double) - Constructor for class org.flag4j.arrays.dense.CMatrix: Constructs a matrix with the specified shape filled with fillValue.
CMatrix(int, int, Complex128) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates a complex matrix with the specified shape and filled with fillValue.
CMatrix(int, int, Complex128[]) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates a complex matrix with the specified data, and shape.
CMatrix(int, Double) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates a square matrix with the specified size filled with fillValue.
CMatrix(int, Complex128) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates a square matrix with the specified size filled with fillValue.
CMatrix(String[][]) - Constructor for class org.flag4j.arrays.dense.CMatrix: Constructs a complex matrix from a 2D array of strings.
CMatrix(Complex128[][]) - Constructor for class org.flag4j.arrays.dense.CMatrix: Constructs a complex matrix from a 2D array.
CMatrix(CMatrix) - Constructor for class org.flag4j.arrays.dense.CMatrix: Constructs a copy of the specified matrix.
CMatrix(Shape) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates a zero matrix with the specified shape.
CMatrix(Shape, double[]) - Constructor for class org.flag4j.arrays.dense.CMatrix: Constructs a complex matrix with specified shape and data.
CMatrix(Shape, Double) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates matrix with the specified shape filled with fillValue.
CMatrix(Shape, Complex128) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates a complex matrix with the specified shape filled with fillValue.
CMatrix(Shape, Complex128[]) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates a complex matrix with the specified data and shape.
coalesce() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Coalesces this sparse COO matrix.
coalesce() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Coalesces this sparse COO tensor.
coalesce() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Coalesces this sparse COO vector.
coalesce() - Method in class org.flag4j.arrays.sparse.CooMatrix: Coalesces this sparse COO matrix.
coalesce() - Method in class org.flag4j.arrays.sparse.CooTensor: Coalesces this sparse COO tensor.
coalesce() - Method in class org.flag4j.arrays.sparse.CooVector: Coalesces this sparse COO vector.
coalesce() - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Coalesces this sparse CSR matrix.
coalesce() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Coalesces this sparse CSR matrix.
coalesce() - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Coalesces this sparse CSR matrix.
coalesce() - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Coalesces this sparse CSR matrix.
coalesce(BinaryOperator<Double>) - Method in class org.flag4j.arrays.sparse.CooMatrix: Coalesces this sparse COO matrix.
coalesce(BinaryOperator<Double>) - Method in class org.flag4j.arrays.sparse.CooTensor: Coalesces this sparse COO tensor.
coalesce(BinaryOperator<Double>) - Method in class org.flag4j.arrays.sparse.CooVector: Coalesces this sparse COO vector.
coalesce(BinaryOperator<Double>) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Coalesces this sparse COO matrix.
coalesce(BinaryOperator<Double>, Shape, double[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Coalesces this sparse COO vector.
coalesce(BinaryOperator<Double>, Shape, double[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Coalesces this sparse COO tensor.
coalesce(BinaryOperator<Double>, Shape, double[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Coalesces this sparse COO matrix.
coalesce(BinaryOperator<T>) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Coalesces this sparse COO matrix.
coalesce(BinaryOperator<T>) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Coalesces this sparse COO matrix.
coalesce(BinaryOperator<T>) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Coalesces this sparse COO matrix.
coalesce(BinaryOperator<T>, Shape, T[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Coalesces this sparse COO vector.
coalesce(BinaryOperator<T>, Shape, T[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Coalesces this sparse COO tensor.
coalesce(BinaryOperator<T>, Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Coalesces this sparse COO matrix.
coalesce(BinaryOperator<V>) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Coalesces this sparse COO tensor.
coalesce(BinaryOperator<W>) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Coalesces this sparse COO matrix.
coalesce(BinaryOperator<Y>) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Coalesces this sparse COO vector.
colData() - Method in record class org.flag4j.arrays.SparseMatrixData: Returns the value of the colData record component.
colIndices - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: column indices for non-zero value of this sparse COO matrix.
colIndices - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Column indices for non-zero values of this sparse CSR matrix.
colIndices - Variable in class org.flag4j.arrays.sparse.CooMatrix: column indices for non-zero value of this sparse COO matrix.
colIndices - Variable in class org.flag4j.arrays.sparse.CsrMatrix: Column indices for non-zero values of this sparse CSR matrix.
colIndicesToArray() - Method in record class org.flag4j.arrays.SparseMatrixData: Converts the column indices of this sparse matrix data to a primitive integer array.
colSwaps - Variable in class org.flag4j.linalg.decompositions.lu.LU
comments() - Method in record class org.flag4j.io.MatrixMarketHeader: Returns the value of the comments record component.
CompareRing - Class in org.flag4j.linalg.ops.common.ring_ops: This utility class provides methods useful for comparing elements of a Ring.
CompareSemiring - Class in org.flag4j.linalg.ops.common.semiring_ops: This utility class provides methods useful for comparing elements of a Semiring.
compareTo(BoolSemiring) - Method in class org.flag4j.algebraic_structures.BoolSemiring: Compares this element of the semiring with b.
compareTo(Complex128) - Method in class org.flag4j.algebraic_structures.Complex128: Compares this element of the field with b.
compareTo(Complex64) - Method in class org.flag4j.algebraic_structures.Complex64: Compares this element of the field with b.
compareTo(RealFloat32) - Method in class org.flag4j.algebraic_structures.RealFloat32: Compares this element of the ordered field with b.
compareTo(RealFloat64) - Method in class org.flag4j.algebraic_structures.RealFloat64: Compares this element of the ordered field with b.
compareTo(RealInt16) - Method in class org.flag4j.algebraic_structures.RealInt16: Compares this element of the ordered ring with b.
compareTo(RealInt32) - Method in class org.flag4j.algebraic_structures.RealInt32: Compares this element of the ordered ring with b.
compareTo(T) - Method in interface org.flag4j.algebraic_structures.Semiring: Compares this element of the semiring with b.
COMPLEX - Enum constant in enum class org.flag4j.io.MatrixMarketHeader.MMField
Complex128 - Class in org.flag4j.algebraic_structures: Represents an immutable complex number with double-precision floating point components.
Complex128(double) - Constructor for class org.flag4j.algebraic_structures.Complex128: Constructs a complex number with specified real component and zero imaginary component.
Complex128(double, double) - Constructor for class org.flag4j.algebraic_structures.Complex128: Constructs a complex number with specified complex and real components.
Complex128(String) - Constructor for class org.flag4j.algebraic_structures.Complex128: Constructs a complex number from a string of the form "a +/- bi" where a and b are real values where either may be omitted. i.e.
Complex128(Complex64) - Constructor for class org.flag4j.algebraic_structures.Complex128: Constructs a 128-bit complex number from a 64-bit complex number.
Complex128BiGaussian - Class in org.flag4j.rng.distributions: A 2D bivariateGaussian distribution on the complex plane.
Complex128BiGaussian(RandomComplex, double, double, double, double) - Constructor for class org.flag4j.rng.distributions.Complex128BiGaussian: Constructs 2D bivariateGaussian distribution on the complex plane with a correlation coefficient of zero.
Complex128BiGaussian(RandomComplex, double, double, double, double, double) - Constructor for class org.flag4j.rng.distributions.Complex128BiGaussian: Constructs 2D bivariateGaussian distribution on the complex plane with a specified correlation coefficient.
Complex128Ops - Class in org.flag4j.linalg.ops.common.complex: This class provides low level methods for computing operations on complex tensors.
Complex128UniformDisk - Class in org.flag4j.rng.distributions: A uniform distribution on an annulus (e.g. washer) in the complex plane.
Complex128UniformDisk(RandomComplex, double, double) - Constructor for class org.flag4j.rng.distributions.Complex128UniformDisk: Constructs a complex annular uniform distribution centered at the origin of the complex plane.
Complex128UniformDisk(RandomComplex, double, double, double, double) - Constructor for class org.flag4j.rng.distributions.Complex128UniformDisk: Constructs a complex annular uniform distribution with specified center on the complex plane.
Complex128UniformRect - Class in org.flag4j.rng.distributions: A rectangular uniform distribution on the complex plane.
Complex128UniformRect(RandomComplex, double, double, double, double) - Constructor for class org.flag4j.rng.distributions.Complex128UniformRect: Constructs a complex rectangular uniform distribution.
Complex64 - Class in org.flag4j.algebraic_structures: Represents an immutable complex number with single-precision floating point components.
Complex64(float) - Constructor for class org.flag4j.algebraic_structures.Complex64: Constructs a complex number with specified real component and zero imaginary component.
Complex64(float, float) - Constructor for class org.flag4j.algebraic_structures.Complex64: Constructs a complex number with specified complex and real components.
Complex64(String) - Constructor for class org.flag4j.algebraic_structures.Complex64: Constructs a complex number from a string of the form "a +/- bi" where a and {b} are real values and either may be omitted. i.e.
Complex64Ops - Class in org.flag4j.linalg.ops.common.complex: This class provides low level methods for computing ops on complex tensors.
ComplexBackSolver - Class in org.flag4j.linalg.solvers.exact.triangular: This solver solves linear systems of equations where the coefficient matrix in an upper triangular complex dense matrix and the constant vector is a complex dense vector.
ComplexBackSolver() - Constructor for class org.flag4j.linalg.solvers.exact.triangular.ComplexBackSolver: Creates a solver for solving linear systems for upper triangular coefficient matrices.
ComplexBackSolver(boolean) - Constructor for class org.flag4j.linalg.solvers.exact.triangular.ComplexBackSolver: Creates a solver for solving linear systems for upper triangular coefficient matrices.
ComplexBalancer - Class in org.flag4j.linalg.decompositions.balance: Instances of this class may be used to balance complex dense matrices.
ComplexBalancer() - Constructor for class org.flag4j.linalg.decompositions.balance.ComplexBalancer: Constructs a complex balancer which will perform both the permutations and scaling steps out-of-place.
ComplexBalancer(boolean, boolean) - Constructor for class org.flag4j.linalg.decompositions.balance.ComplexBalancer: Constructs a complex balancer optionally performing the permutation and scaling steps out-of-place.
ComplexBalancer(boolean, boolean, boolean) - Constructor for class org.flag4j.linalg.decompositions.balance.ComplexBalancer: Constructs a complex balancer optionally performing the permutation and scaling steps in/out-of-place.
ComplexCholesky - Class in org.flag4j.linalg.decompositions.chol: An instance of this class allows for the computation of a Cholesky decomposition of a complex Hermitian positive-definite matrix.
ComplexCholesky() - Constructor for class org.flag4j.linalg.decompositions.chol.ComplexCholesky: Constructs a complex Cholesky decomposer.
ComplexCholesky(boolean) - Constructor for class org.flag4j.linalg.decompositions.chol.ComplexCholesky: Constructs a complex Cholesky decomposer.
ComplexDenseDeterminant - Class in org.flag4j.linalg.ops.dense.complex: This class contains methods for computing the determinant of a complex dense matrix.
ComplexExactSolver - Class in org.flag4j.linalg.solvers.exact: Solver for solving a well determined system of linear equations in an exact sense using the LU decomposition.
ComplexExactSolver() - Constructor for class org.flag4j.linalg.solvers.exact.ComplexExactSolver: Constructs an exact LU solver where the coefficient matrix is real dense.
ComplexExactTensorSolver - Class in org.flag4j.linalg.solvers.exact: Solver for solving a complex well determined linear tensor equation A*X=B in an exact sense.
ComplexExactTensorSolver() - Constructor for class org.flag4j.linalg.solvers.exact.ComplexExactTensorSolver: Creates an exact tensor solver for solving a well determined linear tensor equation A*X=B for X in an exact sense.
ComplexForwardSolver - Class in org.flag4j.linalg.solvers.exact.triangular: This solver solves linear systems of equations where the coefficient matrix in a lower triangular complex dense matrix and the constant vector/matrix is complex and dense.
ComplexForwardSolver() - Constructor for class org.flag4j.linalg.solvers.exact.triangular.ComplexForwardSolver: Creates a solver to solve a linear system where the coefficient matrix is lower triangular.
ComplexForwardSolver(boolean) - Constructor for class org.flag4j.linalg.solvers.exact.triangular.ComplexForwardSolver: Creates a solver to solve a linear system where the coefficient matrix is lower triangular or unit lower triangular.
ComplexForwardSolver(boolean, boolean) - Constructor for class org.flag4j.linalg.solvers.exact.triangular.ComplexForwardSolver: Creates a solver to solve a linear system where the coefficient matrix is lower triangular or unit lower triangular.
ComplexHess - Class in org.flag4j.linalg.decompositions.hess: Computes the Hessenburg decomposition of a complex dense square matrix.
ComplexHess() - Constructor for class org.flag4j.linalg.decompositions.hess.ComplexHess: Creates a complex Hessenburg decomposer.
ComplexHess(boolean) - Constructor for class org.flag4j.linalg.decompositions.hess.ComplexHess: Creates a complex Hessenburg decomposer.
ComplexLstsqSolver - Class in org.flag4j.linalg.solvers.lstsq: This class solves a linear system of equations Ax=b in a least-squares sense.
ComplexLstsqSolver() - Constructor for class org.flag4j.linalg.solvers.lstsq.ComplexLstsqSolver: Constructs a least-squares solver to solve a system Ax=b in a least square sense.
ComplexLU - Class in org.flag4j.linalg.decompositions.lu: Complex128his class provides methods for computing the LU decomposition of a complex dense matrix.
ComplexLU() - Constructor for class org.flag4j.linalg.decompositions.lu.ComplexLU: Constructs a LU decomposer to decompose the specified matrix using partial pivoting.
ComplexLU(LU.Pivoting) - Constructor for class org.flag4j.linalg.decompositions.lu.ComplexLU: Constructs a LU decomposer to decompose the specified matrix.
ComplexLU(LU.Pivoting, double) - Constructor for class org.flag4j.linalg.decompositions.lu.ComplexLU: Constructs a LU decomposer to decompose the specified matrix.
ComplexNumberParser - Class in org.flag4j.io.parsing: A parser for parsing complex numbers represented as a string.
ComplexQR - Class in org.flag4j.linalg.decompositions.qr: Instances of this class compute the QR decomposition of a complex dense matrix.
ComplexQR() - Constructor for class org.flag4j.linalg.decompositions.qr.ComplexQR: Creates a QR decomposer.
ComplexQR(boolean) - Constructor for class org.flag4j.linalg.decompositions.qr.ComplexQR: Creates a QR decomposer to compute either the full or reduced QR decomposition.
ComplexSchur - Class in org.flag4j.linalg.decompositions.schur: This class computes the Schur decomposition of a complex dense square matrix.
ComplexSchur() - Constructor for class org.flag4j.linalg.decompositions.schur.ComplexSchur: Creates a decomposer to compute the Schur decomposition for a complex dense matrix.
ComplexSchur(boolean) - Constructor for class org.flag4j.linalg.decompositions.schur.ComplexSchur: Creates a decomposer to compute the Schur decomposition for a real dense matrix where the U matrix may or may not be computed.
ComplexSchur(boolean, long) - Constructor for class org.flag4j.linalg.decompositions.schur.ComplexSchur: Creates a decomposer to compute the Schur decomposition for a real dense matrix.
ComplexSchur(long) - Constructor for class org.flag4j.linalg.decompositions.schur.ComplexSchur: Creates a decomposer to compute the Schur decomposition for a real dense matrix.
ComplexSVD - Class in org.flag4j.linalg.decompositions.svd: Instances of this class can be used to compute the singular value decomposition (SVD) of a complex dense matrix.
ComplexSVD() - Constructor for class org.flag4j.linalg.decompositions.svd.ComplexSVD: Creates a decomposer to compute the singular value decomposition of a real matrix.
ComplexSVD(boolean) - Constructor for class org.flag4j.linalg.decompositions.svd.ComplexSVD: Creates a decomposer to compute the Schur decomposition.
ComplexSVD(boolean, boolean) - Constructor for class org.flag4j.linalg.decompositions.svd.ComplexSVD: Creates a decomposer to compute the singular value decomposition of a real matrix.
ComplexUnitaryDecomposition - Class in org.flag4j.linalg.decompositions.unitary: This class is the base class for complex matrix decompositions which proceed by using unitary transformations (specifically Householder reflectors) to bring a matrix into an upper triangular/Hessenburg matrix.
ComplexUnitaryDecomposition(int) - Constructor for class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: Creates a real unitary decomposer which will reduce the matrix to an upper triangular/Hessenburg matrix which is has zeros below the specified sub-diagonal.
ComplexUnitaryDecomposition(int, boolean) - Constructor for class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: Creates a real unitary decomposer which will reduce the matrix to an upper triangular/Hessenburg matrix which is has zeros below the specified sub-diagonal.
compute() - Method in class org.flag4j.linalg.ops.dense.real.RealDenseTensorDot: Computes this tensor dot product as specified in the constructor.
compute(double[]) - Method in class org.flag4j.linalg.ops.dense.real.RealDenseTensorDot: Computes this tensor dot product as specified in the constructor.
compute(T) - Method in class org.flag4j.linalg.ops.TensorDot: Computes this tensor dot product as specified in the constructor.
compute(T[]) - Method in class org.flag4j.linalg.ops.dense.DenseSemiringTensorDot: Computes this tensor dot product as specified in the constructor.
compute(T[]) - Method in class org.flag4j.linalg.ops.sparse.coo.CooTensorDot: Computes this tensor dot product as specified in the constructor.
computeExceptionalShift(int) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Computes a random shift to help the QR algorithm converge if it gets stuck.
computeExceptionalShift(int) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Computes a random shift to help the QR algorithm converge if it gets stuck.
computeHouseholder(int) - Method in class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: Computes the Householder vector for the first column of the sub-matrix with upper left corner at (j, j).
computeHouseholder(int) - Method in class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: Computes the HouseholderOld vector for the first column of the sub-matrix with upper left corner at (j, j).
computeHouseholder(int) - Method in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Computes the HouseholderOld vector for the first column of the sub-matrix with upper left corner at (j, j).
computeImplicitDoubleShift(int) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Computes the shifts for a Francis double shift iteration.
computeImplicitDoubleShift(int) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Computes the shifts for a Francis double shift iteration.
computeImplicitSingleShift(int, double) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Computes the non-zero data of the first column for the single shifted QR algorithm.
computeImplicitSingleShift(int, Complex128) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Computes the non-zero data of the first column for the single shifted QR algorithm.
computePhasedNorm(int, double) - Method in class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: Computes the norm of column j below the jth row of the matrix to be decomposed.
computePhasedNorm(int, double) - Method in class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: Computes the norm of column j below the jth row of the matrix to be decomposed.
computePhasedNorm(int, double) - Method in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Computes the norm of column j at and below the jth row of the matrix to be decomposed.
computeRank(int, int, double[]) - Method in class org.flag4j.linalg.decompositions.svd.SVD: Computes the rank of the matrix being decomposed using the singular values of the matrix.
computeSwaps() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Computes the number of row/column swaps required for this permutation matrix to be converted to the identity matrix.
computeU - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Flag indicating if the orthogonal matrix U in the Schur decomposition should be computed.
computeUV - Variable in class org.flag4j.linalg.decompositions.svd.SVD: Flag which indicates if the singular vectors should be computed in addition to the singular values.
concat(Object[], Object[], Object[]) - Static method in class org.flag4j.linalg.ops.dense.DenseConcat: Concatenates two arrays and stores the result in dest.
CONCURRENT_BLOCKED - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
CONCURRENT_BLOCKED - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
CONCURRENT_BLOCKED_REORDERED - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
CONCURRENT_BLOCKED_REORDERED - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
CONCURRENT_BLOCKED_VECTOR - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
CONCURRENT_BLOCKED_VECTOR - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
CONCURRENT_REORDERED - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
CONCURRENT_REORDERED - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
CONCURRENT_STANDARD - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
CONCURRENT_STANDARD - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
CONCURRENT_STANDARD_VECTOR - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
CONCURRENT_STANDARD_VECTOR - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
concurrentBlocked(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the matrix multiplication of two real dense matrices using a concurrent implementation of a blocked algorithm.
concurrentBlocked(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a concurrent implementation of a blocked algorithm.
concurrentBlocked(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a concurrent implementation of a blocked algorithm.
concurrentBlocked(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the matrix multiplication of two dense matrices using a concurrent implementation of a blocked algorithm.
concurrentBlockedOperation(int, int, TensorOperation) - Static method in class org.flag4j.concurrency.ThreadManager: Computes a specified blocked tensor operation concurrently by evenly dividing work among available threads (specified by Configurations.getNumThreads()).
concurrentBlockedReordered(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the matrix multiplication of two real dense matrices using a concurrent implementation of a blocked algorithm with the j-k loops swapped.
concurrentBlockedReordered(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a concurrent implementation of a blocked algorithm with the j-k loops swapped.
concurrentBlockedReordered(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a concurrent implementation of a blocked algorithm with the j-k loops swapped.
concurrentBlockedReordered(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the matrix multiplication of two dense matrices using a concurrent implementation of a blocked algorithm with the j-k loops swapped.
concurrentBlockedVector(double[], Shape, double[], int[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatMult: Computes the dense matrix sparse vector multiplication using a blocked algorithm.
concurrentBlockedVector(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the multiplication of a real dense matrix with a real dense vector using a concurrent implementation of a blocked algorithm.
concurrentBlockedVector(double[], Shape, T[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the dense matrix sparse vector multiplication using a blocked algorithm.
concurrentBlockedVector(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the multiplication of a real dense matrix with a dense field vector using a concurrent implementation of a blocked algorithm.
concurrentBlockedVector(T[], Shape, double[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the dense matrix sparse vector multiplication using a blocked algorithm.
concurrentBlockedVector(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the multiplication of a real dense matrix with a dense field vector using a concurrent implementation of a blocked algorithm.
concurrentBlockedVector(T[], Shape, T[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMult: Computes the dense matrix sparse vector multiplication using a blocked algorithm.
concurrentBlockedVector(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the multiplication of a dense matrix with a dense vector using a concurrent implementation of a blocked algorithm.
concurrentOperation(int, TensorOperation) - Static method in class org.flag4j.concurrency.ThreadManager: Computes a specified tensor operation concurrently by evenly dividing work among available threads (specified by Configurations.getNumThreads()).
concurrentReordered(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the matrix multiplication of two real dense matrices using a concurrent implementation of the standard matrix multiplication algorithm with j-k loops swapped.
concurrentReordered(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a concurrent implementation of the standard matrix multiplication algorithm with j-k loops swapped.
concurrentReordered(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a concurrent implementation of the standard matrix multiplication algorithm with j-k loops swapped.
concurrentReordered(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the matrix multiplication of two dense matrices using a concurrent implementation of the standard matrix multiplication algorithm with j-k loops swapped.
concurrentStandard(double[], int[], int[], Shape, double[], int[], int[], Shape) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatMult: Computes the matrix multiplication between two sparse matrices using a concurrent implementation of the standard algorithm.
concurrentStandard(double[], int[], int[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatMult: Computes the matrix multiplication between a real sparse matrix and a real dense matrix using a concurrent standard algorithm.
concurrentStandard(double[], int[], int[], Shape, Complex128[], int[], int[], Shape) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatrixMultiplication: Computes the matrix multiplication between two sparse matrices using a concurrent implementation of the standard algorithm.
concurrentStandard(double[], int[], int[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the matrix multiplication between a real sparse matrix and a dense field matrix using a concurrent standard algorithm.
concurrentStandard(double[], Shape, double[], int[], int[], Shape) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatMult: Computes the matrix multiplication between a real dense matrix and a real sparse matrix using a concurrent standard algorithm.
concurrentStandard(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the matrix multiplication of two real dense matrices using a concurrent implementation of the standard matrix multiplication algorithm.
concurrentStandard(double[], Shape, T[], int[], int[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the matrix multiplication between a real dense matrix and a sparse field matrix using a concurrent standard algorithm.
concurrentStandard(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a concurrent implementation of the standard matrix multiplication algorithm.
concurrentStandard(Complex128[], int[], int[], Shape, double[], int[], int[], Shape) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatrixMultiplication: Computes the matrix multiplication between two sparse matrices using a concurrent implementation of the standard algorithm.
concurrentStandard(T[], int[], int[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the matrix multiplication between a real sparse matrix and a dense field matrix using a concurrent standard algorithm.
concurrentStandard(T[], int[], int[], Shape, T[], int[], int[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringMatMult: Computes the matrix multiplication between two sparse matrices using a concurrent implementation of the standard algorithm.
concurrentStandard(T[], int[], int[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMult: Computes the matrix multiplication between a real sparse matrix and a real dense matrix using a concurrent standard algorithm.
concurrentStandard(T[], Shape, double[], int[], int[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the matrix multiplication between a real dense matrix and a sparse field matrix using a concurrent standard algorithm.
concurrentStandard(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication of a real dense matrix with a dense field matrix using a concurrent implementation of the standard matrix multiplication algorithm.
concurrentStandard(T[], Shape, T[], int[], int[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMult: Computes the matrix multiplication between a real dense matrix and a real sparse matrix using a concurrent standard algorithm.
concurrentStandard(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the matrix multiplication of two dense matrices using a concurrent implementation of the standard matrix multiplication algorithm.
concurrentStandardVector(double[], int[], int[], Shape, double[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatMult: Computes the multiplication between a sparse matrix and a sparse vector using a concurrent implementation of the standard algorithm.
concurrentStandardVector(double[], int[], int[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatMult: Computes the sparse matrix dense vector multiplication using a concurrent standard algorithm.
concurrentStandardVector(double[], int[], int[], Shape, Complex128[], int[], Shape) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatrixMultiplication: Computes the multiplication between a sparse matrix and a sparse vector using a concurrent implementation of the standard algorithm.
concurrentStandardVector(double[], int[], int[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the sparse matrix dense vector multiplication using a concurrent standard algorithm.
concurrentStandardVector(double[], Shape, double[], int[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatMult: Computes the dense matrix sparse vector multiplication using a concurrent standard algorithm.
concurrentStandardVector(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the multiplication of a real dense matrix with a real dense vector using a concurrent implementation of the standard matrix multiplication algorithm.
concurrentStandardVector(double[], Shape, T[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the dense matrix sparse vector multiplication using a concurrent standard algorithm.
concurrentStandardVector(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the multiplication of a real dense matrix with a dense field vector using a concurrent implementation of the standard matrix multiplication algorithm.
concurrentStandardVector(Complex128[], int[], int[], Shape, double[], int[], Shape) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatrixMultiplication: Computes the multiplication between a sparse matrix and a sparse vector using a concurrent implementation of the standard algorithm.
concurrentStandardVector(T[], int[], int[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the sparse matrix dense vector multiplication using a concurrent standard algorithm.
concurrentStandardVector(T[], int[], int[], Shape, T[], int[], T[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringMatMult: Computes the multiplication between a sparse matrix and a sparse vector using a concurrent implementation of the standard algorithm.
concurrentStandardVector(T[], int[], int[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMult: Computes the sparse matrix dense vector multiplication using a concurrent standard algorithm.
concurrentStandardVector(T[], Shape, double[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the dense matrix sparse vector multiplication using a concurrent standard algorithm.
concurrentStandardVector(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the multiplication of a real dense matrix with a dense field vector using a concurrent implementation of the standard matrix multiplication algorithm.
concurrentStandardVector(T[], Shape, T[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMult: Computes the dense matrix sparse vector multiplication using a concurrent standard algorithm.
concurrentStandardVector(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the multiplication of a dense matrix with a dense vector using a concurrent implementation of the standard matrix multiplication algorithm.
cond(CMatrix, double) - Static method in class org.flag4j.linalg.Condition: Computes the condition number of a matrix.
cond(Matrix, double) - Static method in class org.flag4j.linalg.Condition: Computes the condition number of a matrix.
condEntryWise(CMatrix, double) - Static method in class org.flag4j.linalg.Condition: Computes the condition number of a matrix using an entry-wise norm.
condEntryWise(Matrix, double) - Static method in class org.flag4j.linalg.Condition: Computes the condition number of a matrix using an entry-wise norm.
condFro(CMatrix) - Static method in class org.flag4j.linalg.Condition: Computes the condition number of a matrix using the Frobenius norm.
condFro(Matrix) - Static method in class org.flag4j.linalg.Condition: Computes the condition number of a matrix using the Frobenius norm.
Condition - Class in org.flag4j.linalg: Utility class for computing the condition number of a matrix.
condSchatten(CMatrix, double) - Static method in class org.flag4j.linalg.Condition: Computes the condition number of a matrix using the Schatten norm.
condSchatten(Matrix, double) - Static method in class org.flag4j.linalg.Condition: Computes the condition number of a matrix using the Schatten norm.
Configurations - Class in org.flag4j.concurrency: Configurations for standard and concurrent ops.
conj() - Method in class org.flag4j.algebraic_structures.Complex128: Computes the conjugate of this field element.
conj() - Method in class org.flag4j.algebraic_structures.Complex64: Computes the conjugate of this field element.
conj() - Method in interface org.flag4j.algebraic_structures.Ring: Computes the conjugation of this ring's element.
conj() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Computes the element-wise conjugation of this tensor.
conj() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Computes the element-wise conjugation of this tensor.
conj() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Computes the element-wise conjugation of this tensor.
conj() - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Computes the element-wise conjugation of this tensor.
conj(T[], T[]) - Static method in class org.flag4j.linalg.ops.common.ring_ops.RingOps: Computes the element-wise conjugation of an array.
conj(V[], V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Computes the element-wise complex conjugate of a tensor.
Constants: - Search tag in class org.flag4j.algebraic_structures.BoolSemiring: Section
contains(double[], double) - Static method in class org.flag4j.util.ArrayUtils: Checks if an array contains a specified value.
contains(double[], double...) - Static method in class org.flag4j.util.ArrayUtils: Checks if a set of keys are in an array.
contains(int[], int) - Static method in class org.flag4j.util.ArrayUtils: Checks if an array contains a specified value.
contains(int[], int...) - Static method in class org.flag4j.util.ArrayUtils: Checks if a set of keys is in an array.
content - Variable in class org.flag4j.io.parsing.Lexer: Content of the lexer.
CooCMatrix - Class in org.flag4j.arrays.sparse: A complex sparse matrix stored in coordinate list (COO) format.
CooCMatrix(int) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Constructs a square sparse COO matrix with the specified size filled with zeros.
CooCMatrix(int, int) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Constructs a zero matrix of the specified shape.
CooCMatrix(int, int, List<Complex128>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooCMatrix(int, int, Complex128[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooCMatrix(int, Complex128[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Constructs a square complex sparse COO matrix with the specified size, non-zero values, and non-zero indices.
CooCMatrix(Shape) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Constructs a zero matrix of the specified shape.
CooCMatrix(Shape, double[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooCMatrix(Shape, List<Complex128>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooCMatrix(Shape, Complex128[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooCMatrix(CooCMatrix) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Constructs a copy of the specified complex sparse COO matrix.
CooConcat - Class in org.flag4j.linalg.ops.sparse.coo: This utility class contains methods for combining or joining sparse COO tensors, matrices, and vectors.
CooConversions - Class in org.flag4j.linalg.ops.sparse.coo: Utility class for converting COO tensor to another type of tensor.
CooCTensor - Class in org.flag4j.arrays.sparse: Sparse complex tensor stored in coordinate list (COO) format.
CooCTensor(Shape) - Constructor for class org.flag4j.arrays.sparse.CooCTensor: Creates a tensor with the specified data and shape.
CooCTensor(Shape, double[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooCTensor: Creates a tensor with the specified data and shape.
CooCTensor(Shape, List<Complex128>, List<int[]>) - Constructor for class org.flag4j.arrays.sparse.CooCTensor: Creates a tensor with the specified data and shape.
CooCTensor(Shape, Complex128[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooCTensor: Creates a tensor with the specified data and shape.
CooCTensor(Shape, Complex64[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooCTensor: Creates a tensor with the specified data and shape.
CooCTensor(CooCTensor) - Constructor for class org.flag4j.arrays.sparse.CooCTensor: Constructs a copy of a sparse COO tensor.
CooCVector - Class in org.flag4j.arrays.sparse: A complex sparse vector stored in coordinate list (COO) format.
CooCVector(int) - Constructor for class org.flag4j.arrays.sparse.CooCVector: Constructs a zero vector of the specified size.
CooCVector(int, double[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooCVector: Constructs a sparse complex COO vector from an array of double values.
CooCVector(int, List<Complex128>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooCVector: Constructs a complex COO vector with the specified size, non-zero data, and non-zero indices.
CooCVector(int, Complex128[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooCVector: Creates a tensor with the specified data and shape.
CooCVector(Shape, List<Complex128>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooCVector: Constructs a complex COO vector with the specified size, non-zero data, and non-zero indices.
CooCVector(Shape, Complex128[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooCVector: Creates a tensor with the specified data and shape.
CooCVector(CooCVector) - Constructor for class org.flag4j.arrays.sparse.CooCVector: Constructs a copy of the specified vector.
CooDataSorter<T> - Class in org.flag4j.linalg.ops.sparse.coo: A class which can be used to sort the indices, along with data values, in lexicographical order.
CooDataSorter(List<T>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Creates a sorter which can sort the indices and values of a COO matrix lexicographically.
CooFieldMatrix<T> - Class in org.flag4j.arrays.sparse: Instances of this class represent a sparse matrix whose non-zero elements are stored in Coordinate List (COO) format, with all data elements belonging to a specified Field type.
CooFieldMatrix(int, int, List<T>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooFieldMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooFieldMatrix(int, int, T[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooFieldMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooFieldMatrix(Shape, List<T>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooFieldMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooFieldMatrix(Shape, T[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooFieldMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooFieldTensor<T> - Class in org.flag4j.arrays.sparse: Represents a sparse tensor whose non-zero elements are stored in Coordinate List (COO) format, with all data elements belonging to a specified Field type.
CooFieldTensor(Shape, List<T>, List<int[]>) - Constructor for class org.flag4j.arrays.sparse.CooFieldTensor: Creates a tensor with the specified data and shape.
CooFieldTensor(Shape, T[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooFieldTensor: creates a tensor with the specified data and shape.
CooFieldVector<T> - Class in org.flag4j.arrays.sparse: Represents a sparse vector whose non-zero elements are stored in Coordinate List (COO) format, with all data elements belonging to a specified Field type.
CooFieldVector(int) - Constructor for class org.flag4j.arrays.sparse.CooFieldVector: Creates a zero vector of the specified size.
CooFieldVector(int, List<T>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooFieldVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
CooFieldVector(int, T[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooFieldVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
CooFieldVector(Shape, T[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooFieldVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
cooFlattenIndices(Shape, int[][]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Flattens the non-zero indices of a sparse COO tensor.
cooFlattenIndices(Shape, int[][], int) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Flattens the non-zero indices of a sparse COO tensor along a specified axis.
CooGetSet - Class in org.flag4j.linalg.ops.sparse.coo: A utility class that aids in getting or setting specified elements of a sparse COO tensor, matrix, or vector.
cooInsertNewValue(T, int[], T[], int[][], int, T[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Inserts a new value into a sparse COO tensor.
cooInsertNewValue(T, int, int, T[], int[], int[], int, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Inserts a new value into a sparse COO matrix.
cooInsertNewValue(T, int, T[], int[], int, T[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Inserts a new value into a sparse COO vector.
CooManipulations - Class in org.flag4j.linalg.ops.sparse.coo: Utility class containing methods for manipulating a sparse COO tensor, matrix, or vector.
CooMatrix - Class in org.flag4j.arrays.sparse: A real sparse matrix stored in coordinate list (COO) format.
CooMatrix(int) - Constructor for class org.flag4j.arrays.sparse.CooMatrix: Constructs a square zero matrix with the specified size.
CooMatrix(int, double[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooMatrix: Creates a square sparse COO matrix with the specified size, non-zero data, and non-zero indices.
CooMatrix(int, int) - Constructor for class org.flag4j.arrays.sparse.CooMatrix: Constructs a zero matrix with the specified shape.
CooMatrix(int, int, double[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooMatrix(Shape) - Constructor for class org.flag4j.arrays.sparse.CooMatrix: Constructs a zero matrix with the specified shape.
CooMatrix(Shape, double[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooMatrix(Shape, int[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooMatrix(Shape, List<Double>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooMatrix(CooMatrix) - Constructor for class org.flag4j.arrays.sparse.CooMatrix: Constructs a copy of a real sparse COO matrix.
cooMatrixEquals(AbstractCooSemiringMatrix<?, ?, ?, T>, AbstractCooSemiringMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringEquals: Checks if two real sparse matrices are real.
cooMatrixEquals(CooMatrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseEquals: Checks if two real sparse matrices are real.
CooProperties - Class in org.flag4j.linalg.ops.sparse.coo: Utility class for computing certain properties of COO matrices.
COORDINATE - Enum constant in enum class org.flag4j.io.MatrixMarketHeader.MMFormat
COO Representation: - Search tag in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Section
COO Representation: - Search tag in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingMatrix: Section
COO Representation: - Search tag in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Section
COO Representation: - Search tag in class org.flag4j.arrays.sparse.CooCMatrix: Section
COO Representation: - Search tag in class org.flag4j.arrays.sparse.CooFieldMatrix: Section
COO Representation: - Search tag in class org.flag4j.arrays.sparse.CooMatrix: Section
COO Representation: - Search tag in class org.flag4j.arrays.sparse.CooRingMatrix: Section
COO Representation: - Search tag in class org.flag4j.arrays.sparse.CooSemiringMatrix: Section
cooReshape(Shape, Shape, int[][]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Computes new indices for the reshaping of a sparse COO tensor.
CooRingHermTranspose - Class in org.flag4j.linalg.ops.sparse.coo.ring_ops: Utility class for computing the Hermitian transpose of a COO ring matrix or tensor.
CooRingMatrix<T> - Class in org.flag4j.arrays.sparse: Represents a sparse matrix whose non-zero elements are stored in Coordinate List (COO) format, with all data elements belonging to a specified Ring type.
CooRingMatrix(int, int, List<T>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooRingMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooRingMatrix(int, int, T[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooRingMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooRingMatrix(Shape, List<T>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooRingMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooRingMatrix(Shape, T[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooRingMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooRingMatrixOps - Class in org.flag4j.linalg.ops.sparse.coo.ring_ops: Utility class for computing ops on sparse COO Ring matrices.
CooRingNorms - Class in org.flag4j.linalg.ops.sparse.coo.ring_ops: This utility class contains low level implementations of norms for sparse COO ring tensors, matrices and vectors.
CooRingTensor<T> - Class in org.flag4j.arrays.sparse: Represents a sparse tensor whose non-zero elements are stored in Coordinate List (COO) format, with all data elements belonging to a specified Ring type.
CooRingTensor(Shape, List<T>, List<int[]>) - Constructor for class org.flag4j.arrays.sparse.CooRingTensor: Creates a tensor with the specified data and shape.
CooRingTensor(Shape, T[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooRingTensor: Creates a tensor with the specified data and shape.
CooRingTensorOps - Class in org.flag4j.linalg.ops.sparse.coo.ring_ops: Utility class for computing ops on sparse COO Ring tensors.
CooRingVector<T> - Class in org.flag4j.arrays.sparse: Represents a sparse vector whose non-zero elements are stored in Coordinate List (COO) format, with all data elements belonging to a specified Ring type.
CooRingVector(int) - Constructor for class org.flag4j.arrays.sparse.CooRingVector: Creates a zero vector of the specified size.
CooRingVector(int, List<T>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooRingVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
CooRingVector(int, T[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooRingVector: Creates a tensor with the specified data and shape.
CooRingVector(Shape, List<T>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooRingVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
CooRingVector(Shape, T[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooRingVector: Creates a tensor with the specified data and shape.
CooRingVectorOps - Class in org.flag4j.linalg.ops.sparse.coo.ring_ops: Utility class for computing ops on sparse COO Ring vectors.
CooSemiringEquals - Class in org.flag4j.linalg.ops.sparse.coo.semiring_ops: A utility class for checking equality between COO Semiring tensors.
CooSemiringMatMult - Class in org.flag4j.linalg.ops.sparse.coo.semiring_ops: This utility class contains methods useful for computing the matrix multiplication between two sparse COO Semiring tensors.
CooSemiringMatrix<T> - Class in org.flag4j.arrays.sparse: Represents a sparse matrix whose non-zero elements are stored in Coordinate List (COO) format, with all data elements belonging to a specified Semiring type.
CooSemiringMatrix(int, int, List<T>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooSemiringMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooSemiringMatrix(int, int, T[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooSemiringMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooSemiringMatrix(Shape, List<T>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooSemiringMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooSemiringMatrix(Shape, T[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooSemiringMatrix: Creates a sparse coo matrix with the specified non-zero data, non-zero indices, and shape.
CooSemiringMatrixOps - Class in org.flag4j.linalg.ops.sparse.coo.semiring_ops: Utility class for computing various ops on and between sparse COO Semiring matrices.
CooSemiringMatrixProperties - Class in org.flag4j.linalg.ops.sparse.coo.semiring_ops: This class contains low level implementations for methods to evaluate certain properties of a sparse COO Semiring matrix.
CooSemiringTensor<T> - Class in org.flag4j.arrays.sparse: Represents a sparse tensor whose non-zero elements are stored in Coordinate List (COO) format, with all data elements belonging to a specified Semiring type.
CooSemiringTensor(Shape, List<T>, List<int[]>) - Constructor for class org.flag4j.arrays.sparse.CooSemiringTensor: Creates a tensor with the specified data and shape.
CooSemiringTensor(Shape, T[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooSemiringTensor: Creates a tensor with the specified data and shape.
CooSemiringTensorOps - Class in org.flag4j.linalg.ops.sparse.coo.semiring_ops: This utility class contains methods for computing ops on two Semiring tensors.
CooSemiringVector<T> - Class in org.flag4j.arrays.sparse: Represents a sparse vector whose non-zero elements are stored in Coordinate List (COO) format, with all data elements belonging to a specified Semiring type.
CooSemiringVector(int) - Constructor for class org.flag4j.arrays.sparse.CooSemiringVector: Creates a zero vector of the specified size.
CooSemiringVector(int, List<T>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooSemiringVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
CooSemiringVector(int, T[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooSemiringVector: Creates a tensor with the specified data and shape.
CooSemiringVector(Shape, List<T>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooSemiringVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
CooSemiringVector(Shape, T[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooSemiringVector: Creates a tensor with the specified data and shape.
CooSemiringVectorOps - Class in org.flag4j.linalg.ops.sparse.coo.semiring_ops: Utility class for computing ops between sparse COO Semiring vectors.
CooTensor - Class in org.flag4j.arrays.sparse: A real sparse tensor stored in coordinate list (COO) format.
CooTensor(Shape) - Constructor for class org.flag4j.arrays.sparse.CooTensor: Creates a zero matrix with the specified shape.
CooTensor(Shape, double[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooTensor: Creates a tensor with the specified data and shape.
CooTensor(Shape, int[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooTensor: Creates a sparse COO matrix with the specified shape, non-zero data, and indices.
CooTensor(Shape, List<Double>, List<int[]>) - Constructor for class org.flag4j.arrays.sparse.CooTensor: Creates a tensor with the specified data and shape.
CooTensor(CooTensor) - Constructor for class org.flag4j.arrays.sparse.CooTensor: Constructs a copy of the specified matrix.
CooTensorDot<T> - Class in org.flag4j.linalg.ops.sparse.coo: Instances of this class can be used to compute the tensor dot product between two sparse COO tensors.
CooTensorDot(Shape, T[], int[][], Shape, T[], int[][], int[], int[]) - Constructor for class org.flag4j.linalg.ops.sparse.coo.CooTensorDot: Constructs a tensor dot product problem for computing the tensor contraction of two tensors over the specified set of axes.
cooTensorEquals(AbstractCooSemiringTensor<?, ?, T>, AbstractCooSemiringTensor<?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringEquals: Checks if two real sparse tensors are real.
cooTensorEquals(CooTensor, CooTensor) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseEquals: Checks if two real sparse tensors are real.
CooTranspose - Class in org.flag4j.linalg.ops.sparse.coo: Utility class for computing the transpose of a sparse COO tensor or matrix.
CooVector - Class in org.flag4j.arrays.sparse: A real sparse vector stored in coordinate list (COO) format.
CooVector(int) - Constructor for class org.flag4j.arrays.sparse.CooVector: Creates a zero vector of the specified size.
CooVector(int, double[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
CooVector(int, int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
CooVector(int, List<Double>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
CooVector(Shape, double[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
CooVector(Shape, List<Double>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooVector: Creates sparse COO vector with the specified size, non-zero data, and non-zero indices.
CooVector(CooVector) - Constructor for class org.flag4j.arrays.sparse.CooVector: Constructs a copy of the specified sparse COO vector.
cooVectorEquals(AbstractCooSemiringVector<?, ?, ?, ?, T>, AbstractCooSemiringVector<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringEquals: Checks if two real sparse vectors are real.
cooVectorEquals(CooVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseEquals: Checks if two real sparse vectors are real.
copy() - Method in class org.flag4j.arrays.backend.AbstractTensor: Creates a deep copy of this tensor.
copy() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Creates a deep copy of this matrix.
copy() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.sparse.CooTensor: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Creates a copy of this permutation matrix.
copyRanges(T[], int[], int[], T[], int[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: A helper method which copies from a sparse COO matrix to a set of three arrays (non-zero data, row indices, and column indices) but skips over a specified range.
cos(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the trigonometric cosine value of a complex value.
cos(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the trigonometric cosine value of a complex value.
cosh(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the hyperbolic cosine of a complex value.
cosh(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the hyperbolic cosine of a complex value.
createMap(int, int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Creates a HashMap where the keys are row indices and the value is a list of all indices in src with that row index.
createUniqueMapping(int[]) - Static method in class org.flag4j.util.ArrayUtils: Creates a mapping of unique values in {code arr} to integers such that each unique value is mapped to a unique integer and those integers range from 0 to numUnique(arr) - 1.
cross(CVector) - Method in class org.flag4j.arrays.dense.CVector: Computes the vector cross product between two vectors.
cross(Vector) - Method in class org.flag4j.arrays.dense.Vector: Computes the vector cross product between two vectors.
CsrCMatrix - Class in org.flag4j.arrays.sparse: A complex sparse matrix stored in compressed sparse row (CSR) format.
CsrCMatrix(int, int) - Constructor for class org.flag4j.arrays.sparse.CsrCMatrix: Constructs a zero matrix of the specified shape.
CsrCMatrix(int, int, List<Complex128>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CsrCMatrix: Creates a complex sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CsrCMatrix(int, int, Complex128[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CsrCMatrix: Creates a complex sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CsrCMatrix(Shape) - Constructor for class org.flag4j.arrays.sparse.CsrCMatrix: Constructs a zero matrix of the specified shape.
CsrCMatrix(Shape, List<Complex128>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CsrCMatrix: Creates a complex sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CsrCMatrix(Shape, Complex128[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CsrCMatrix: Creates a complex sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CsrConversions - Class in org.flag4j.linalg.ops.sparse.csr: Utility class for converting CSR matrices to flat matrices, dense matrices, etc.
CSREquals(AbstractCsrSemiringMatrix<?, ?, ?, T>, AbstractCsrSemiringMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Checks if two CSR Field matrices are equal considering the fact that one may explicitly store zeros at some position that the other does not store.
CSREquals(CsrMatrix, CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Checks if two CSR Matrices are equal considering the fact that one may explicitly store zeros at some position that the other does not store.
CsrFieldMatrix<T> - Class in org.flag4j.arrays.sparse: Instances of this class represent a sparse matrix using the compressed sparse row (CSR) format where all data elements belonging to a specified Field type.
CsrFieldMatrix(Shape, List<T>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CsrFieldMatrix: Creates a sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CsrFieldMatrix(Shape, T) - Constructor for class org.flag4j.arrays.sparse.CsrFieldMatrix: Constructs a sparse CSR matrix representing the zero matrix for the field which fieldElement belongs to.
CsrFieldMatrix(Shape, T[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CsrFieldMatrix: Creates a sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CsrMatrix - Class in org.flag4j.arrays.sparse: Instances of this class represent a real sparse matrix using the compressed sparse row (CSR) format.
CsrMatrix(int, int) - Constructor for class org.flag4j.arrays.sparse.CsrMatrix: Constructs a zero matrix with the specified shape.
CsrMatrix(int, int, double[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CsrMatrix: Creates a sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CsrMatrix(Shape) - Constructor for class org.flag4j.arrays.sparse.CsrMatrix: Constructs zero matrix with the specified shape.
CsrMatrix(Shape, double[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CsrMatrix: Creates a sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CsrOps - Class in org.flag4j.linalg.ops.sparse.csr: Utility class for computing ops on sparse CSR matrices.
CsrProperties - Class in org.flag4j.linalg.ops.sparse.csr: Utility class containing methods useful for determining certain properties of general CSR matrices.
CSR Representation: - Search tag in class org.flag4j.arrays.sparse.CsrFieldMatrix: Section
CSR Representation: - Search tag in class org.flag4j.arrays.sparse.CsrMatrix: Section
CSR Representation: - Search tag in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Section
CsrRingMatrix<T> - Class in org.flag4j.arrays.sparse
CsrRingMatrix(Shape, List<T>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CsrRingMatrix: Creates a sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CsrRingMatrix(Shape, T) - Constructor for class org.flag4j.arrays.sparse.CsrRingMatrix: Constructs a sparse CSR matrix representing the zero matrix for the field which ringElement belongs to.
CsrRingMatrix(Shape, T[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CsrRingMatrix: Creates a sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CsrRingProperties - Class in org.flag4j.linalg.ops.sparse.csr.ring_ops: This class contains methods to check properties of sparse CSR Ring matrices.
CsrSemiringMatrix<T> - Class in org.flag4j.arrays.sparse: Instances of this class represent a sparse matrix using the compressed sparse row (CSR) format where all data elements belonging to a specified Semiring type.
CsrSemiringMatrix(Shape, List<T>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CsrSemiringMatrix: Creates a sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CsrSemiringMatrix(Shape, T) - Constructor for class org.flag4j.arrays.sparse.CsrSemiringMatrix: Constructs a sparse CSR matrix representing the zero matrix for the field which semiringElement belongs to.
CsrSemiringMatrix(Shape, T[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CsrSemiringMatrix: Creates a sparse CSR matrix with the specified shape, non-zero data, row pointers, and non-zero column indices.
CTensor - Class in org.flag4j.arrays.dense: A dense complex tensor backed by an array of Complex128's.
CTensor(Object) - Constructor for class org.flag4j.arrays.dense.CTensor: Creates a tensor from an nD array.
CTensor(CTensor) - Constructor for class org.flag4j.arrays.dense.CTensor: Constructs a copy of the specified tensor.
CTensor(Shape) - Constructor for class org.flag4j.arrays.dense.CTensor: Creates a zero tensor with the specified shape.
CTensor(Shape, double) - Constructor for class org.flag4j.arrays.dense.CTensor: Creates a tensor with the specified shape and filled with fillValue.
CTensor(Shape, double[]) - Constructor for class org.flag4j.arrays.dense.CTensor: Creates a tensor with the specified data and shape.
CTensor(Shape, String) - Constructor for class org.flag4j.arrays.dense.CTensor: Creates a tensor with the specified shape and filled with fillValue.
CTensor(Shape, String[]) - Constructor for class org.flag4j.arrays.dense.CTensor: Creates a tensor with the specified data and shape.
CTensor(Shape, Complex128) - Constructor for class org.flag4j.arrays.dense.CTensor: Creates a tensor with the specified shape and filled with fillValue.
CTensor(Shape, Complex128[]) - Constructor for class org.flag4j.arrays.dense.CTensor: Creates a tensor with the specified data and shape.
CTensor(Shape, Complex64) - Constructor for class org.flag4j.arrays.dense.CTensor: Creates a tensor with the specified shape and filled with fillValue.
CTensor(Shape, Complex64[]) - Constructor for class org.flag4j.arrays.dense.CTensor: Creates a tensor with the specified data and shape.
cumSum(int[], int[]) - Static method in class org.flag4j.util.ArrayUtils: Computes the cumulative sum of the elements of an array.
currentFactor - Variable in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Stores the scalar factor invalid input: '&alpha' for use in computation of the Householder reflector P = I - invalid input: '&alpha' vv^H.
currentFactor - Variable in class org.flag4j.linalg.decompositions.schur.RealSchur: Stores the scalar factor invalid input: '&alpha' for use in computation of the Householder reflector P = I - invalid input: '&alpha' vv^T.
currentFactor - Variable in class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: Scalar factor of the currently computed Householder reflector.
currentFactor - Variable in class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: Scalar factor of the currently computed HouseholderOld reflector.
Currently Supported Matrix Types - Search tag in class org.flag4j.io.MatrixMarketWriter: Section
CVector - Class in org.flag4j.arrays.dense
CVector(double...) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a complex vector with the specified data.
CVector(int) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a complex zero vector with the specified size.
CVector(int...) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a complex vector with the specified data.
CVector(int, double) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a complex vector with the specified size and filled with fillValue.
CVector(int, Complex128) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a complex vector with the specified size and filled with fillValue.
CVector(int, Complex64) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a complex vector with the specified size and filled with fillValue.
CVector(Complex128...) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a complex vector with the specified data.
CVector(Complex64...) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a complex vector with the specified data.
CVector(CVector) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a copy of the provided vector.
CVector(Shape) - Constructor for class org.flag4j.arrays.dense.CVector: Constructs a zero vector with the specified shape.
CVector(Shape, Complex128[]) - Constructor for class org.flag4j.arrays.dense.CVector: Constructs a dense complex vector with the given shape and entries.

D

data - Variable in class org.flag4j.arrays.backend.AbstractTensor: Entry data of this tensor.
data() - Method in record class org.flag4j.arrays.IntTuple: Returns the value of the data record component.
data() - Method in record class org.flag4j.arrays.SparseMatrixData: Returns the value of the data record component.
data() - Method in record class org.flag4j.arrays.SparseTensorData: Returns the value of the data record component.
data() - Method in record class org.flag4j.arrays.SparseVectorData: Returns the value of the data record component.
data() - Method in record class org.flag4j.arrays.Tuple: Returns the value of the data record component.
dataLength() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets the length of the data array which backs this matrix.
dataLength() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets the length of the data array which backs this matrix.
dataLength() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Gets the length of the data array which backs this matrix.
dataLength() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Gets the length of the data array which backs this matrix.
dataLength() - Method in class org.flag4j.arrays.dense.Matrix: Gets the length of the data array which backs this matrix.
dataLength() - Method in class org.flag4j.arrays.sparse.CooMatrix: Gets the length of the data array which backs this matrix.
dataLength() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Gets the length of the data array which backs this matrix.
decompose(CMatrix) - Method in class org.flag4j.linalg.decompositions.chol.ComplexCholesky: Decompose a matrix into A=LL^H where L is a lower triangular matrix and L^H is the conjugate transpose of L.
decompose(CMatrix) - Method in class org.flag4j.linalg.decompositions.hess.ComplexHess: Computes the QR decomposition of a real dense matrix.
decompose(CMatrix) - Method in class org.flag4j.linalg.decompositions.hess.HermHess: Applies decomposition to the source matrix.
decompose(CMatrix) - Method in class org.flag4j.linalg.decompositions.qr.ComplexQR: Computes the QR decomposition of a real dense matrix.
decompose(CMatrix) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Computes the Schur decomposition of the input matrix.
decompose(Matrix) - Method in class org.flag4j.linalg.decompositions.chol.RealCholesky: Decompose a matrix into A=LL^T where L is a lower triangular matrix and L^T is the transpose of L.
decompose(Matrix) - Method in class org.flag4j.linalg.decompositions.hess.RealHess: Applies decomposition to the source matrix.
decompose(Matrix) - Method in class org.flag4j.linalg.decompositions.hess.SymmHess: Applies decomposition to the source matrix.
decompose(Matrix) - Method in class org.flag4j.linalg.decompositions.qr.RealQR: Computes the QR decomposition of a real dense matrix.
decompose(Matrix) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Computes the Schur decomposition of the input matrix.
decompose(T) - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Balances a matrix so that the rows and columns have roughly similar sized norms.
decompose(T) - Method in interface org.flag4j.linalg.decompositions.Decomposition: Applies decomposition to the source matrix.
decompose(T) - Method in class org.flag4j.linalg.decompositions.lu.LU: Applies LU decomposition to the source matrix using the pivoting specified in the constructor.
decompose(T) - Method in class org.flag4j.linalg.decompositions.svd.SVD: Applies decomposition to the source matrix.
decompose(T) - Method in class org.flag4j.linalg.solvers.exact.ExactSolver: Decomposes A using an LU decomposition.
decompose(T) - Method in class org.flag4j.linalg.solvers.lstsq.LstsqSolver: Computes the QR decomposition for use in this solver.
decomposeBase(T) - Method in class org.flag4j.linalg.decompositions.schur.Schur: Computes the Schur decomposition of the input matrix.
decomposeUnitary(T) - Method in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Applies the unitary decomposition to the matrix.
Decomposition<T> - Interface in org.flag4j.linalg.decompositions: This interface specifies methods which should be implemented in all decompositions.
deepCopy2D(int[][], int[][]) - Static method in class org.flag4j.util.ArrayUtils: Creates a deep copy of a 2D array.
deepEquals2D(int[][], int[][]) - Static method in class org.flag4j.util.ArrayUtils: Checks if two primitive 2D integer arrays are element-wise equal.
DEFAULT_BLOCK_SIZE - Static variable in class org.flag4j.concurrency.Configurations: The default block size for blocked algorithms.
DEFAULT_CENTER - Static variable in class org.flag4j.io.PrintOptions: Default flag for centering elements when printing.
DEFAULT_EXCEPTIONAL_ITERS - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Default number of iterations to apply before doing an exceptional shift.
DEFAULT_MAX_COLS - Static variable in class org.flag4j.io.PrintOptions: Default maximum number of columns to print.
DEFAULT_MAX_ITERS_FACTOR - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Default factor for computing the maximum number of iterations to perform.
DEFAULT_MAX_ROWS - Static variable in class org.flag4j.io.PrintOptions: Default maximum number of rows to print.
DEFAULT_MIN_RECURSIVE_SIZE - Static variable in class org.flag4j.concurrency.Configurations: The default minimum recursive size for recursive algorithms.
DEFAULT_NUM_THREADS - Static variable in class org.flag4j.concurrency.Configurations: The default number of threads to use for concurrent algorithms.
DEFAULT_PADDING - Static variable in class org.flag4j.io.PrintOptions: Default padding between elements when printing.
DEFAULT_POS_DEF_TOLERANCE - Static variable in class org.flag4j.linalg.decompositions.chol.Cholesky: Default tolerance for considering a value along the diagonal of L to be non-positive.
DEFAULT_PRECISION - Static variable in class org.flag4j.io.PrintOptions: Default precision (i.e. number of decimals) to use when printing.
DenseConcat - Class in org.flag4j.linalg.ops.dense: This utility class provides implementations for the concatenation of dense tensors.
DenseCooFieldEquals - Class in org.flag4j.linalg.ops.dense_sparse.coo.field_ops: This class provides methods for checking the equality of a dense field tensor with a sparse field tensor.
DenseCooFieldMatMult - Class in org.flag4j.linalg.ops.dense_sparse.coo.field_ops: This utility class provides low level methods for computing the matrix multiplication between a sparse/dense matrix and dense/sparse matrix/vector.
DenseCooFieldMatrixOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.field_ops: This class contains low level implementations for ops between a dense and a sparse field matrix.
DenseCooFieldTensorOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.field_ops: This class contains methods to apply common ops to a dense/sparse field matrix and to a sparse/dense field matrix.
DenseCooFieldVectorOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.field_ops: This class provides low level methods for computing ops between dense/sparse and sparse/dense field vectors.
DenseCsrFieldOps - Class in org.flag4j.linalg.ops.dense_sparse.csr.field_ops: This class contains low-level ops which act on a dense and a sparse CSR field matrix.
DenseCsrSemiringMatMult - Class in org.flag4j.linalg.ops.dense_sparse.csr.semiring_ops: This class contains low-level implementations of semiring sparse-dense matrix multiplication where the sparse matrices are in CSR format.
DenseEquals - Class in org.flag4j.linalg.ops.dense: This class provides methods for checking the equality of dense tensors.
DenseFieldDeterminant - Class in org.flag4j.linalg.ops.dense.field_ops: This utility class contains methods for computing the determinant of a dense matrix whose data are elements of a Field.
DenseFieldElemDiv - Class in org.flag4j.linalg.ops.dense.field_ops: This class contains low-level implementations of element-wise tensor division between two Field tensors.
DenseFieldOps - Class in org.flag4j.linalg.ops.dense.field_ops: This class provides low level methods for computing ops on dense field tensors.
DenseFieldVectorOps - Class in org.flag4j.linalg.ops.dense.field_ops: This class provides low level implementations for vector ops with two dense Field vectors.
DenseOps - Class in org.flag4j.linalg.ops.dense
DenseRingHermitianTranspose - Class in org.flag4j.linalg.ops.dense.ring_ops: Utility class for computing the Hermitian transpose of a dense Ring tensor or matrix.
DenseRingTensorOps - Class in org.flag4j.linalg.ops.dense.ring_ops: Utility class for computing ops between two dense Ring tensors.
DenseRingVectorNorms - Class in org.flag4j.linalg.ops.dense.ring_ops: This utility class contains methods for computing norms of dense Ring Vectors.
DenseRingVectorOps - Class in org.flag4j.linalg.ops.dense.ring_ops: This utility class contains methods for computing ops on dense Ring Vectors.
DenseSemiringConversions - Class in org.flag4j.linalg.ops.dense.semiring_ops: Utility class for converting dense Semiring tensors to another type of tensor.
DenseSemiringElemMult - Class in org.flag4j.linalg.ops.dense.semiring_ops: Utility class useful for computing element-wise products between two Semiring tensors.
DenseSemiringMatMult - Class in org.flag4j.linalg.ops.dense.semiring_ops: This utility class provides methods for computing dense matrix multiplication between matrices whose data are members of a Semiring.
DenseSemiringMatMultDispatcher - Class in org.flag4j.linalg.ops.dense.semiring_ops: Singleton class which stores a map of all viable dense Semiring matrix multiply algorithms and uses that map to dispatch a dense Semiring matrix multiply problem to the appropriate algorithm.
DenseSemiringMatMultDispatcher.AlgorithmNames - Enum Class in org.flag4j.linalg.ops.dense.semiring_ops: Simple enum class containing all possible choices of real dense matrix multiply algorithms.
DenseSemiringMatMultTranspose - Class in org.flag4j.linalg.ops.dense.semiring_ops: This utility class contains methods for computing the dense matrix multiplication between a matrix and the transpose of a matrix.
DenseSemiringOps - Class in org.flag4j.linalg.ops.dense.semiring_ops: This class provides low level methods for computing ops on dense semiring tensors.
DenseSemiringTensorBinaryOperation - Interface in org.flag4j.concurrency: This interface specifies a binary operation on two dense Semiring tensors.
DenseSemiringTensorDot<T> - Class in org.flag4j.linalg.ops.dense: Instances of this class can be used to compute the tensor dot product between two dense tensors.
DenseSemiringTensorDot(Shape, T[], Shape, T[], int[], int[]) - Constructor for class org.flag4j.linalg.ops.dense.DenseSemiringTensorDot: Constructs a tensor dot product problem for computing the tensor contraction of two tensors over the specified set of axes.
DenseSemiringVectorOps - Class in org.flag4j.linalg.ops.dense.semiring_ops: This utility class contains methods for computing ops on dense Semiring Vectors.
DenseTranspose - Class in org.flag4j.linalg.ops.dense: This utility class provides methods for computing the transpose of a dense tensor.
density() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets the density of this matrix as a decimal percentage.
density() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Gets the density of this tensor as a decimal percentage.
density() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Gets the density of this matrix as a decimal percentage.
density() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Gets the density of this matrix as a decimal percentage.
destLength - Variable in class org.flag4j.linalg.ops.TensorDot
destShape - Variable in class org.flag4j.linalg.ops.TensorDot
det - Variable in class org.flag4j.linalg.solvers.exact.triangular.ComplexBackSolver: For computing determinant of coefficient matrix during solve.
det - Variable in class org.flag4j.linalg.solvers.exact.triangular.RealBackSolver: For computing determinant of coefficient matrix during solve.
det() - Method in class org.flag4j.arrays.dense.Matrix: Computes the determinant of a square matrix.
det() - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the determinant of a square matrix.
det() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the determinant of a square matrix.
det() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Computes the determinant of this permutation matrix (will be +/- 1).
det(AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldDeterminant: Computes the determinant of a square matrix.
det(CMatrix) - Static method in class org.flag4j.linalg.ops.dense.complex.ComplexDenseDeterminant: Computes the determinant of a square matrix using the LU factorization.
det(Matrix) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseDeterminant: Computes the determinant of a square matrix using the LU factorization.
det1(AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldDeterminant: Explicitly computes the determinant of a 1x1 matrix.
det1(Matrix) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseDeterminant: Explicitly computes the determinant of a 1x1 matrix.
det2(AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldDeterminant: Explicitly computes the determinant of a 2x2 matrix.
det2(Matrix) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseDeterminant: Explicitly computes the determinant of a 2x2 matrix.
det3(AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldDeterminant: Explicitly computes the determinant of a 3x3 matrix.
det3(Matrix) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseDeterminant: Explicitly computes the determinant of a 3x3 matrix.
detLU(AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldDeterminant: Computes the determinant of a square matrix using the LU factorization.
detLU(CMatrix) - Static method in class org.flag4j.linalg.ops.dense.complex.ComplexDenseDeterminant: Computes the determinant of a square matrix using the LU factorization.
detLU(Matrix) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseDeterminant: Computes the determinant of a square matrix using the LU factorization.
detTri(AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldDeterminant: Computes the determinant of a triangular matrix.
detTri(Matrix) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseDeterminant: Computes the determinant for a triangular matrix.
detTriUnsafe(AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldDeterminant: Computes the determinant of a triangular matrix.
diag(double...) - Static method in class org.flag4j.arrays.dense.Matrix: Constructs a diagonal matrix from an array specifying the diagonal elements of the matrix.
diag(Complex128...) - Static method in class org.flag4j.arrays.dense.CMatrix: Constructs a diagonal matrix from an array specifying the diagonal elements of the matrix.
diag(CVector) - Static method in class org.flag4j.arrays.dense.CMatrix: Constructs a diagonal matrix from a vector specifying the diagonal elements of the matrix.
diag(Vector) - Static method in class org.flag4j.arrays.dense.Matrix: Constructs a diagonal matrix from a vector specifying the diagonal elements of the matrix.
directSum(CMatrix, CMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(CMatrix, Matrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(CMatrix, CooCMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(CMatrix, CooMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(Matrix, CMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(Matrix, Matrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(Matrix, CooCMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(Matrix, CooMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(CooCMatrix, CMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(CooCMatrix, Matrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(CooCMatrix, CooCMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(CooCMatrix, CooMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(CooMatrix, CMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(CooMatrix, Matrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(CooMatrix, CooCMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
directSum(CooMatrix, CooMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes the direct sum of two matrices.
DirectSum - Class in org.flag4j.linalg
dispatch(double[], double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseElemDiv: Dynamically chooses and applies element-wise division algorithm to use based on the number of data in the tensors.
dispatch(double[], double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseElemMult: Dynamically chooses and applies element-wise multiplication algorithm to use based on the number of data in the tensors.
dispatch(double[], Shape) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Dispatches a matrix transpose problem to the appropriate algorithm based on its shape and size.
dispatch(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher: Dispatches a matrix multiply problem to the appropriate algorithm based on the size of the matrices.
dispatch(Object[], Shape, Object[]) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Dispatches a matrix transpose problem to the appropriate algorithm based on its shape and size.
dispatch(CMatrix, Matrix) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dispatches a matrix multiplication problem to the appropriate algorithm based on the size.
dispatch(CMatrix, Vector) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dynamically chooses the appropriate matrix-vector multiplication algorithm based on the shapes of the matrix and vector.
dispatch(FieldMatrix<T>, FieldMatrix<T>) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dispatches a matrix multiplication problem to the appropriate algorithm based on the size.
dispatch(FieldMatrix<T>, FieldVector<T>) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dynamically chooses the appropriate matrix-vector multiplication algorithm based on the shapes of the matrix and vector.
dispatch(Matrix) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Dispatches a matrix transpose problem to the appropriate algorithm based on its shape and size.
dispatch(Matrix, CMatrix) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dispatches a matrix multiplication problem to the appropriate algorithm based on the size.
dispatch(Matrix, CVector) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dynamically chooses the appropriate matrix-vector multiplication algorithm based on the shapes of the matrix and vector.
dispatch(Matrix, Matrix) - Static method in class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher: Dispatches a matrix multiply problem to the appropriate algorithm based on the size of the matrices.
dispatch(Matrix, Vector) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dynamically chooses the appropriate matrix-vector multiplication algorithm based on the shapes of the matrix and vector.
dispatch(Shape, double[], Shape, T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseElemDiv: Dynamically chooses and applies the appropriate algorithm for element-wise tensor multiplication.
dispatch(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseElemDiv: Dynamically chooses and applies the appropriate algorithm for element-wise tensor multiplication.
dispatch(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseElemMult: Dynamically chooses and applies element-wise multiplication algorithm to use based on the number of data in the tensors.
dispatch(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldElemDiv: Dynamically chooses and applies element-wise division algorithm to use based on the number of data in the tensors.
dispatch(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringElemMult: Dynamically chooses and applies an element-wise multiplication algorithm to use based on the number of data in the tensors.
dispatch(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher: Dispatches a matrix multiply problem to the appropriate algorithm based on the size of the matrices.
dispatch(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dispatches a matrix multiplication problem to the appropriate algorithm based on the size.
dispatchHermitian(T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Dispatches a matrix Hermitian transpose (i.e. conjugate transpose) problem to the appropriate algorithm based on its shape and size.
dispatchOuter(Vector, Vector) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseVectorOps: Dispatches an outer product problem to an appropriate implementation based on the size of the vectors involved.
dispatchTensor(double[], Shape, int[]) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Dispatches a tensor transpose problem to the appropriate algorithm based on its shape and size.
dispatchTensor(Object[], Shape, int[], Object[]) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Dispatches a tensor transpose problem to the appropriate algorithm based on its shape and size.
dispatchTensor(AbstractDenseSemiringTensor<?, V>, int[]) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Dispatches a tensor transpose problem to the appropriate algorithm based on its shape and size.
dispatchTensor(T[], Shape, int, int, T[]) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Dispatches a tensor transpose problem to the appropriate algorithm based on its shape and size.
dispatchTensor(T, int, int) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Dispatches a tensor transpose problem to the appropriate algorithm based on its shape and size.
dispatchTensorHermitian(Shape, V[], int[], V[]) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Dispatches a tensor Hermitian transpose problem to the appropriate algorithm based on its shape and size.
dispatchTensorHermitian(Shape, V[], int, int, V[]) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Dispatches a tensor Hermitian transpose problem to the appropriate algorithm based on its shape and size.
dispatchTranspose(CMatrix, CMatrix) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dispatches a matrix multiplication-transpose problem to the appropriate algorithm based on the size.
dispatchTranspose(CMatrix, Matrix) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dispatches a matrix multiplication-transpose problem to the appropriate algorithm based on the size.
dispatchTranspose(Matrix, CMatrix) - Static method in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Dispatches a matrix multiplication-transpose problem to the appropriate algorithm based on the size.
dispatchTranspose(Matrix, Matrix) - Static method in class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher: Dispatches a matrix multiply-transpose problem equivalent to A.mult(B.T()) to the appropriate algorithm based on the size of the matrices.
dispatchTranspose(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher: Dispatches a matrix multiply-transpose problem equivalent to src1.mult(src2.T()) to the appropriate algorithm based on the size of the matrices.
dispatchVector(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher: Dispatches a matrix-vector multiplication problem to the appropriate algorithm based on the size of the matrix and vector.
Distribution<T,U> - Class in org.flag4j.rng.distributions: Base class for all statistical distributions.
Distribution(U) - Constructor for class org.flag4j.rng.distributions.Distribution: Constructs a distribution with a random number generator to be used for sampling this distribution.
div(double) - Method in class org.flag4j.algebraic_structures.Complex128: Computes the quotient of an elements of this field and a real number.
div(double) - Method in interface org.flag4j.algebraic_structures.Field: Computes the quotient of an element of this field and a real number.
div(double) - Method in class org.flag4j.algebraic_structures.RealFloat32: Computes the quotient of an element of this field and a real number.
div(double) - Method in class org.flag4j.algebraic_structures.RealFloat64: Computes the quotient of an element of this field and a real number.
div(double) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Divides each element of this tensor by a primitive scalar value.
div(double) - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Divides each element of this tensor by a primitive scalar value.
div(double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Divides each element of this tensor by a primitive scalar value.
div(double[], V, V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Divides each entry of the src tensor by a scalar.
div(float) - Method in class org.flag4j.algebraic_structures.Complex64: Computes the quotient of an elements of this field and a real number.
div(Double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Divides each element of this tensor by a scalar value.
div(Complex128) - Method in class org.flag4j.algebraic_structures.Complex128: Computes the quotient of two elements of this field.
div(Complex128) - Method in class org.flag4j.arrays.dense.Matrix: Computes the scalar division of this matrix with a complex number.
div(Complex128) - Method in class org.flag4j.arrays.dense.Tensor: Divides each entry of this tensor by a complex scalar value.
div(Complex128) - Method in class org.flag4j.arrays.dense.Vector: Divides this vector by a complex-valued scalar.
div(Complex128) - Method in class org.flag4j.arrays.sparse.CooVector: Divides each element of this sparse COO vector by a complex-valued scalar.
div(Complex64) - Method in class org.flag4j.algebraic_structures.Complex64: Computes the quotient of two elements of this field.
div(RealFloat32) - Method in class org.flag4j.algebraic_structures.RealFloat32: Computes the quotient of two elements of this field.
div(RealFloat64) - Method in class org.flag4j.algebraic_structures.RealFloat64: Computes the quotient of two elements of this field.
div(CMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the element-wise division between two tensors.
div(CTensor) - Method in class org.flag4j.arrays.dense.Tensor: Computes the element-wise division of two tensors.
div(CVector) - Method in class org.flag4j.arrays.dense.Vector: Computes the element-wise quotient of this vector and a complex dense vector.
div(CVector) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the element-wise division of two vectors.
div(Matrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the element-wise quotient between two tensors.
div(RingMatrix<T>) - Method in class org.flag4j.arrays.dense.RingMatrix: Computes the element-wise quotient of two matrices.
div(SemiringMatrix<T>) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Computes the element-wise quotient of two matrices.
div(Tensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise quotient between two tensors.
div(Vector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise quotient between two tensors.
div(Vector) - Method in class org.flag4j.arrays.dense.Vector: Computes the element-wise division between two tensors.
div(Vector) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the element-wise division of two vectors.
div(Shape, T[], Shape, T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldOps: Computes the element-wise division between two tensors.
div(SmartMatrix) - Method in class org.flag4j.arrays.SmartMatrix: Computes the element-wise quotient of two matrices.
div(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the element-wise quotient between two tensors.
div(CooRingMatrix<T>) - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Computes the element-wise quotient of two matrices.
div(CooSemiringMatrix<T>) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Computes the element-wise quotient of two matrices.
div(CooTensor) - Method in class org.flag4j.arrays.sparse.CooTensor: Computes the element-wise quotient between two tensors.
div(CooVector) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the element-wise quotient between two tensors.
div(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the element-wise quotient between two tensors.
div(T) - Method in interface org.flag4j.algebraic_structures.Field: Computes the quotient of two elements of this field.
div(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Computes the element-wise quotient between two tensors.
div(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldTensor: Computes the element-wise quotient between two tensors.
div(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldVector: Computes the element-wise quotient between two tensors.
div(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Computes the element-wise quotient between two tensors.
div(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Computes the element-wise quotient of two matrices.
div(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldTensor: Computes the element-wise quotient between two tensors.
div(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Computes the element-wise quotient of two matrices.
div(T) - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Computes the element-wise quotient between two tensors.
div(T) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Computes the element-wise quotient of two matrices.
div(T) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the element-wise quotient between two tensors.
div(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCsrRingMatrix: Warning: throws UnsupportedOperationException as division is not defined for general ring matrices.
div(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Warning: throws UnsupportedOperationException as division is not defined for general semiring matrices.
div(V) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Divides each element of this tensor by a scalar value.
div(V[], double, V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Divides each entry of the src tensor by a primitive scalar.
div(V[], V, V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Divides each entry of the src tensor by a scalar.
div(W) - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Divides each element of this tensor by a scalar value.
divEq(double) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Divides each element of this tensor by a primitive scalar value and stores the result in this tensor.
divEq(double) - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Divides each element of this tensor by a primitive scalar value and stores the result in this tensor.
divEq(double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Divides each element of this tensor by a primitive scalar value and stores the result in this tensor.
divEq(Double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Divides each element of this tensor by a scalar value and stores the result in this tensor.
divEq(Vector) - Method in class org.flag4j.arrays.dense.Vector: Computes the element-wise division between two tensors and stores the result in this tensor.
divEq(T) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the element-wise quotient between two tensors and stores the result in this tensor.
divEq(V) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Divides each element of this tensor by a scalar value and stores the result in this tensor.
divEq(W) - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Divides each element of this tensor by a scalar value and stores the result in this tensor.
DivVisitor - Class in org.flag4j.arrays.backend.smart_visitors
DivVisitor(MatrixMixin<?, ?, ?, ?>) - Constructor for class org.flag4j.arrays.backend.smart_visitors.DivVisitor
doIterativePermutations() - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Performs the permutation step of matrix balancing.
doIterativeScaling() - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Performs the scaling step of matrix balancing.
doPermutations - Variable in class org.flag4j.linalg.decompositions.balance.Balancer: Flag indicating if permutations should be done during balancing.
doScaling - Variable in class org.flag4j.linalg.decompositions.balance.Balancer: Flag indicating if scaling should be done during balancing.
dot(Vector) - Method in class org.flag4j.arrays.dense.Vector: Computes the dot product between two vectors.
dot(Shape, T[], int[], Shape, T[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringVectorOps: Computes the dot product between two sparse COO vectors.
dot(CooVector) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the dot product between two vectors.
dot(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Computes the dot product between two vectors.
dot(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Computes the dot product between two vectors.
dot(T) - Method in interface org.flag4j.arrays.backend.VectorMixin: Computes the dot product between two vectors.
dotProduct(T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldVectorOps: Computes the vector dot product for two vectors.
dotProduct(T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringVectorOps: Computes the vector dot product for two vectors.
doubleValue() - Method in class org.flag4j.algebraic_structures.BoolSemiring: Converts this semiring value to an equivalent double value.
doubleValue() - Method in class org.flag4j.algebraic_structures.Complex128: Converts this complex number to an equivalent double.
doubleValue() - Method in class org.flag4j.algebraic_structures.Complex64: Converts this complex number to an equivalent double.
doubleValue() - Method in class org.flag4j.algebraic_structures.RealFloat32: Converts this semiring value to an equivalent double value.
doubleValue() - Method in class org.flag4j.algebraic_structures.RealFloat64: Converts this semiring value to an equivalent double value.
doubleValue() - Method in class org.flag4j.algebraic_structures.RealInt16: Converts this semiring value to an equivalent double value.
doubleValue() - Method in class org.flag4j.algebraic_structures.RealInt32: Converts this semiring value to an equivalent double value.
doubleValue() - Method in interface org.flag4j.algebraic_structures.Semiring: Converts this semiring value to an equivalent double value.
dropZeros() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Drops any explicit zeros in this sparse COO matrix.
dropZeros() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Drops any explicit zeros in this sparse COO tensor.
dropZeros() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Drops any explicit zeros in this sparse COO vector.
dropZeros() - Method in class org.flag4j.arrays.sparse.CooMatrix: Drops any explicit zeros in this sparse COO matrix.
dropZeros() - Method in class org.flag4j.arrays.sparse.CooTensor: Drops any explicit zeros in this sparse COO tensor.
dropZeros() - Method in class org.flag4j.arrays.sparse.CooVector: Drops any explicit zeros in this sparse COO vector.
dropZeros() - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Drops any explicit zeros in this sparse COO matrix.
dropZeros() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Drops any explicit zeros in this sparse COO matrix.
dropZeros() - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Drops any explicit zeros in this sparse COO matrix.
dropZeros() - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Drops any explicit zeros in this sparse COO matrix.
dropZeros(Shape, double[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Drops any explicit zeros in this sparse COO vector.
dropZeros(Shape, double[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Drops any explicit zeros in this sparse COO tensor.
dropZeros(Shape, double[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Drops any explicit zeros in this sparse COO matrix.
dropZeros(Shape, T[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Drops any explicit zeros in this sparse COO vector.
dropZeros(Shape, T[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Drops any explicit zeros in this sparse COO tensor.
dropZeros(Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Drops any explicit zeros in this sparse COO matrix.
dropZerosCsr(Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Drops all explicit zeros within a sparse CSR matrix.
dropZerosCsr(CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Drops all explicit zeros within a sparse CSR matrix.

E

Eigen - Class in org.flag4j.linalg: This class provides several methods useful for computing eigenvalues and eigenvectors.
elemDiv(double[], double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseElemDiv: Computes the element-wise division of two tensors.
elemDiv(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseElemDiv: Computes the element-wise division of two tensors.
elemDiv(AbstractCooFieldMatrix<?, ?, ?, T>, AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatrixOps: Computes the element-wise division between a complex sparse matrix and a complex dense matrix.
elemDiv(AbstractCooFieldMatrix<?, ?, ?, T>, Matrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatrixOps: Computes the element-wise division between a complex sparse matrix and a real dense matrix.
elemDiv(AbstractCooFieldTensor<?, ?, T>, AbstractDenseFieldTensor<?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldTensorOps: Computes the element-wise division between a complex dense tensor and a complex sparse tensor.
elemDiv(AbstractCooFieldTensor<?, ?, T>, Tensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooOps: Computes the element-wise division between a real dense tensor and a real sparse tensor.
elemDiv(AbstractCooFieldVector<?, ?, ?, ?, T>, AbstractDenseFieldVector<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldVectorOps: Compute the element-wise division between a complex sparse vector and a complex dense vector.
elemDiv(AbstractCooFieldVector<?, ?, ?, ?, T>, Vector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Compute the element-wise division between a sparse vector and a dense vector.
elemDiv(Shape, double[], Shape, T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Computes the element-wise division between two dense tensors.
elemDiv(Shape, T[], Shape, double[], T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Computes the element-wise division between two dense tensors.
elemDiv(CooMatrix, CMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooMatOps: Computes the element-wise division between a real sparse matrix and a complex dense matrix.
elemDiv(CooMatrix, Matrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatrixOps: Computes the element-wise division between a real sparse matrix and a real dense matrix.
elemDiv(CooTensor, CTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooOps: Computes the element-wise division between a real dense tensor and a complex sparse tensor.
elemDiv(CooTensor, Tensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseCooTensorOps: Computes the element-wise division between a real dense tensor and a real sparse tensor.
elemDiv(CooVector, CVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseVectorOps: Compute the element-wise division between a sparse vector and a dense vector.
elemDiv(CooVector, Vector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseVectorOps: Compute the element-wise division between a sparse vector and a dense vector.
elemDiv(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseElemDiv: Computes the element-wise division of two tensors.
elemDiv(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldElemDiv: Computes the element-wise division of two tensors.
elemDivConcurrent(double[], double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseElemDiv: Computes the element-wise division of two tensors using a concurrent algorithm.
elemDivConcurrent(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseElemDiv: Computes the element-wise division of two tensors using a concurrent algorithm.
elemDivConcurrent(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseElemDiv: Computes the element-wise division of two tensors using a concurrent algorithm.
elemDivConcurrent(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldElemDiv: Computes the element-wise division of two tensors using a concurrent algorithm.
elemMult(double[], double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseElemMult: Computes the element-wise multiplication of two tensors.
elemMult(AbstractDenseFieldMatrix<?, ?, T>, CooMatrix, Field<T>[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatrixOps: Computes the element-wise multiplication between two matrices.
elemMult(AbstractDenseFieldTensor<?, T>, AbstractCooFieldTensor<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldTensorOps: Computes the element-wise tensor multiplication between a complex dense tensor and a complex sparse tensor.
elemMult(AbstractDenseFieldTensor<?, T>, CooTensor, T[], int[][]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooOps: Computes the element-wise multiplication between a real dense tensor and a complex sparse tensor.
elemMult(AbstractDenseFieldVector<?, ?, T>, AbstractCooFieldVector<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldVectorOps: Computes the element-wise multiplication of a complex dense vector with a complex sparse vector.
elemMult(AbstractDenseFieldVector<?, ?, T>, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Computes the element-wise product between a dense Field vector and a real COO vector.
elemMult(CMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the element-wise product of two matrices.
elemMult(CMatrix) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Computes the element-wise multiplication between two matrices of the same shape.
elemMult(CMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the element-wise product between two matrices.
elemMult(CMatrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooMatOps: Computes the element-wise multiplication between a complex dense matrix and a real sparse matrix.
elemMult(CTensor) - Method in class org.flag4j.arrays.dense.Tensor: Computes the element-wise multiplication of two tensors.
elemMult(CTensor, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooOps: Computes the element-wise multiplication between a complex dense tensor and a real sparse matrix.
elemMult(CVector) - Method in class org.flag4j.arrays.dense.Vector: Computes the element-wise product of this vector and a complex dense vector.
elemMult(CVector, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseVectorOps: Computes the element-wise multiplication of a complex dense vector with a real sparse vector.
elemMult(Matrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(Matrix) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Computes the element-wise multiplication between two matrices of the same shape.
elemMult(Matrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the element-wise product between two matrices.
elemMult(Matrix, AbstractCooFieldMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatrixOps: Computes the element-wise multiplication between a real dense matrix and a complex sparse matrix.
elemMult(Matrix, CooCMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooMatOps: Computes the element-wise multiplication between a complex dense matrix and a real sparse matrix.
elemMult(Matrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatrixOps: Computes the element-wise multiplication between a real dense matrix and a real sparse matrix.
elemMult(Tensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(Tensor, AbstractCooFieldTensor<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooOps: Computes the element-wise multiplication between a real dense tensor and a complex sparse tensor.
elemMult(Tensor, CooCTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooOps: Computes the element-wise multiplication between a complex dense tensor and a real sparse matrix.
elemMult(Tensor, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseCooTensorOps: Computes the element-wise multiplication between a real dense tensor and a real sparse tensor.
elemMult(Vector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(Vector) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the element-wise multiplication between this vector and a real dense vector.
elemMult(Vector, AbstractCooFieldVector<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Computes the element-wise multiplication of a real dense vector with a complex sparse vector.
elemMult(Vector, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseVectorOps: Computes the element-wise multiplication of a real dense vector with a real sparse vector.
elemMult(Shape, T[], int[], Shape, T[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringVectorOps: Computes the element-wise vector multiplication between two real sparse vectors.
elemMult(Shape, T[], Shape, double[], T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Computes the element-wise multiplication between two dense tensors.
elemMult(Shape, T[], Shape, T[], int[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatrixOps: Computes the element-wise multiplication between a real dense matrix and a real sparse matrix.
elemMult(Shape, V[], int[][], Shape, V[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringTensorOps: Computes the element-wise multiplication between two complex sparse COO tensors.
elemMult(Shape, V[], int[], int[], Shape, V[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringMatrixOps: Multiplies two sparse matrices element-wise.
elemMult(SmartMatrix) - Method in class org.flag4j.arrays.SmartMatrix: Computes the element-wise product of two matrices.
elemMult(CooCMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(CooCMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the element-wise product of two matrices.
elemMult(CooCMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the element-wise product between two matrices.
elemMult(CooCMatrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Multiplies two sparse matrices element-wise.
elemMult(CooCTensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(CooCTensor) - Method in class org.flag4j.arrays.dense.Tensor: Computes the element-wise multiplication between two tensors.
elemMult(CooCTensor, CooTensor) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexCooTensorOps: Computes the element-wise multiplication between two sparse COO tensors.
elemMult(CooCVector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(CooCVector) - Method in class org.flag4j.arrays.dense.Vector: Computes the element-wise product of this vector and a complex sparse vector.
elemMult(CooCVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseVectorOps: Computes the element-wise vector multiplication between two real sparse vectors.
elemMult(CooMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(CooMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the element-wise product of two matrices.
elemMult(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Computes the element-wise multiplication between this tensor and a real COO matrix.
elemMult(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(CooMatrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixOps: Multiplies two sparse matrices element-wise.
elemMult(CooTensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(CooTensor) - Method in class org.flag4j.arrays.dense.Tensor: Computes the element-wise multiplication between two tensors.
elemMult(CooTensor) - Method in class org.flag4j.arrays.sparse.CooTensor: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(CooTensor, CooCTensor) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexCooTensorOps: Computes the element-wise multiplication between two sparse COO tensors.
elemMult(CooTensor, CooTensor) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooTensorOps: Computes the element-wise multiplication between two sparse COO tensors.
elemMult(CooVector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(CooVector) - Method in class org.flag4j.arrays.dense.Vector: Computes the element-wise product of this vector and a real sparse vector.
elemMult(CooVector) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(CooVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooVectorOps: Computes the element-wise vector multiplication between two real sparse vectors.
elemMult(CsrCMatrix, CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrOps: Computes the element-wise multiplication between a complex sparse matrix and a real sparse matrix.
elemMult(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(CsrMatrix, CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrOps: Computes the element-wise multiplication between two real CSR matrices.
elemMult(T) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Computes the element-wise product of two matrices.
elemMult(T) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(T) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Computes the element-wise multiplication of two tensors of the same shape.
elemMult(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseElemMult: Computes the element-wise multiplication of two tensors.
elemMult(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringElemMult: Computes the element-wise multiplication of two tensors.
elemMult(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringOps: Computes the element-wise product of two tensors.
elemMultConcurrent(double[], double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseElemMult: Computes the element-wise multiplication of two tensors using a concurrent algorithm.
elemMultConcurrent(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseElemMult: Computes the element-wise multiplication of two tensors using a concurrent algorithm.
elemMultConcurrent(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringElemMult: Computes the element-wise multiplication of two tensors using a concurrent algorithm.
elemMultEq(Vector) - Method in class org.flag4j.arrays.dense.Vector: Computes the element-wise multiplication of two tensors and stores the result in this tensor.
elemMultEq(T) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the element-wise multiplication of two tensors of the same shape and stores the result in this tensor.
ElemMultVisitor - Class in org.flag4j.arrays.backend.smart_visitors
ElemMultVisitor(MatrixMixin<?, ?, ?, ?>) - Constructor for class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
enforceHermitian - Variable in class org.flag4j.linalg.decompositions.hess.HermHess: Flag indicating if an explicit check should be made that the matrix to be decomposed is Hermitian.
enforceLower - Variable in class org.flag4j.linalg.solvers.exact.triangular.ForwardSolver: Flag indicating if an explicit check should be made that the coefficient matrix is lower triangular.
enforceSymmetric - Variable in class org.flag4j.linalg.decompositions.hess.SymmHess: Flag indicating if an explicit check should be made that the matrix to be decomposed is symmetric.
enforceTriU - Variable in class org.flag4j.linalg.solvers.exact.triangular.BackSolver: Flag indicating if determinant should be computed.
ensureAllEqual(int...) - Static method in class org.flag4j.util.ValidateParameters: Checks if a set of values are all equal.
ensureAllGreaterEq(double, double...) - Static method in class org.flag4j.util.ValidateParameters: Checks if a set of values is greater than or equal to a specified threshold.
ensureAllGreaterEq(int, int...) - Static method in class org.flag4j.util.ValidateParameters: Checks if a set of values is greater than or equal to a specified threshold.
ensureArrayLengthsEq(int...) - Static method in class org.flag4j.util.ValidateParameters: Checks that all array lengths are equal.
ensureAxis2D(int) - Static method in class org.flag4j.util.ValidateParameters: Checks that an axis is a valid 2D axis.
ensureEqualShape(Shape, Shape) - Static method in class org.flag4j.util.ValidateParameters: Checks if two Shape objects are equivalent.
ensureGreaterEq(double, double, String) - Static method in class org.flag4j.util.ValidateParameters: Checks if value >= threshold.
ensureGreaterEq(int, int) - Static method in class org.flag4j.util.ValidateParameters: Checks if values[i] >= threshold for all i = 0, 1, ..., values.length.
ensureInRange(double, double, double, String) - Static method in class org.flag4j.util.ValidateParameters: Checks that a value is within the specified inclusive range.
ensureLessEq(double, double...) - Static method in class org.flag4j.util.ValidateParameters: Checks if values[i] <= threshold for all i = 0, 1, ..., values.length.
ensureLessEq(double, double, String) - Static method in class org.flag4j.util.ValidateParameters: Checks if values <= threshold.
ensureLessEq(int, int...) - Static method in class org.flag4j.util.ValidateParameters: Checks if values[i] <= threshold for all i = 0, 1, ..., values.length.
ensureLessEq(BigInteger, int, String) - Static method in class org.flag4j.util.ValidateParameters: Checks if values <= threshold.
ensureMatMultShapes(Shape, Shape) - Static method in class org.flag4j.util.ValidateParameters: Checks if two Shape objects satisfy the requirements of matrix-matrix or matrix-vector multiplication.
ensureNonNegative(int) - Static method in class org.flag4j.util.ValidateParameters: Checks if value >= 0.
ensureNonNegative(int...) - Static method in class org.flag4j.util.ValidateParameters: Checks if values contains only non-negative values.
ensureNotEquals(double, double) - Static method in class org.flag4j.util.ValidateParameters: Checks that two values are not equal.
ensurePermutation(int...) - Static method in class org.flag4j.util.ValidateParameters: Checks that a list of N axis are a permutation of {0, 1, 2, ..., N-1}.
ensurePermutation(int[], int) - Static method in class org.flag4j.util.ValidateParameters: Checks that a list of axis are a permutation of {0, 1, 2, ..., n-1}.
ensurePositive(int) - Static method in class org.flag4j.util.ValidateParameters: Checks if value > 0.
ensureRank(Shape, int) - Static method in class org.flag4j.util.ValidateParameters: Checks that a shape has the specified rank.
ensureSquare(Shape) - Static method in class org.flag4j.util.ValidateParameters: Checks if a shape represents a square tensor.
ensureSquareMatrix(int, int) - Static method in class org.flag4j.util.ValidateParameters: Checks if a shape represents a square matrix.
ensureSquareMatrix(Shape) - Static method in class org.flag4j.util.ValidateParameters: Checks if a shape represents a square matrix.
ensureTotalEntriesEq(double[][], double[]) - Static method in class org.flag4j.util.ValidateParameters: Checks if arrays have the same number of total data.
ensureTotalEntriesEq(int[][], double[]) - Static method in class org.flag4j.util.ValidateParameters: Checks if arrays have the same number of total data.
ensureTotalEntriesEq(Object[][], double[]) - Static method in class org.flag4j.util.ValidateParameters: Checks if arrays have the same number of total data.
ensureTotalEntriesEqual(Shape, Shape) - Static method in class org.flag4j.util.ValidateParameters: Checks that two shapes have the same total number of data.
ensureTrue(boolean, String) - Static method in class org.flag4j.util.ValidateParameters: Ensures that a boolean is true.
ensureValidAxes(int, int...) - Static method in class org.flag4j.util.ValidateParameters: Checks if all provided axes are valid with respect to the rank of the given rank.
ensureValidAxes(Shape, int...) - Static method in class org.flag4j.util.ValidateParameters: Checks if all provided axes are valid with respect to the rank of the given shape.
entryWiseNorm(CMatrix, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the entry-wise p-norm of a complex dense matrix.
entryWiseNorm(Matrix, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the entry-wise p-norm of a real dense matrix.
EPS_F32 - Static variable in class org.flag4j.util.Flag4jConstants: The rounding error for 32-bit floating point numbers.
EPS_F64 - Static variable in class org.flag4j.util.Flag4jConstants: The rounding error for 64-bit double precision floating point numbers.
equals(double) - Method in class org.flag4j.algebraic_structures.Complex128: Checks if this complex has zero imaginary part and real part equal to a double.
equals(double[], T[]) - Static method in class org.flag4j.util.ArrayUtils: Checks if a double array is numerically equal to a complex number array.
equals(float) - Method in class org.flag4j.algebraic_structures.Complex64: Checks if this complex has zero imaginary part and real part equal to a double.
equals(Object) - Method in class org.flag4j.algebraic_structures.BoolSemiring: Checks if an object is equal to this semiring element.
equals(Object) - Method in class org.flag4j.algebraic_structures.Complex128: Checks if an object is equal to this Field element.
equals(Object) - Method in class org.flag4j.algebraic_structures.Complex64: Checks if an object is equal to this Field element.
equals(Object) - Method in class org.flag4j.algebraic_structures.RealFloat32: Checks if an object is equal to this Field element.
equals(Object) - Method in class org.flag4j.algebraic_structures.RealFloat64: Checks if an object is equal to this Field element.
equals(Object) - Method in class org.flag4j.algebraic_structures.RealInt16: Checks if an object is equal to this ring element.
equals(Object) - Method in class org.flag4j.algebraic_structures.RealInt32: Checks if an object is equal to this ring element.
equals(Object) - Method in class org.flag4j.arrays.dense.CMatrix: Checks if an object is equal to this matrix object.
equals(Object) - Method in class org.flag4j.arrays.dense.CTensor: Checks if an object is equal to this tensor object.
equals(Object) - Method in class org.flag4j.arrays.dense.CVector: Checks if an object is equal to this vector object.
equals(Object) - Method in class org.flag4j.arrays.dense.FieldMatrix: Checks if an object is equal to this matrix object.
equals(Object) - Method in class org.flag4j.arrays.dense.FieldTensor: Checks if an object is equal to this tensor object.
equals(Object) - Method in class org.flag4j.arrays.dense.FieldVector: Checks if an object is equal to this vector object.
equals(Object) - Method in class org.flag4j.arrays.dense.Matrix: Checks if an object is equal to this matrix object.
equals(Object) - Method in class org.flag4j.arrays.dense.RingMatrix: Checks if an object is equal to this matrix object.
equals(Object) - Method in class org.flag4j.arrays.dense.RingTensor: Checks if an object is equal to this tensor object.
equals(Object) - Method in class org.flag4j.arrays.dense.RingVector: Checks if an object is equal to this vector object.
equals(Object) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Checks if an object is equal to this matrix object.
equals(Object) - Method in class org.flag4j.arrays.dense.SemiringTensor: Checks if an object is equal to this tensor object.
equals(Object) - Method in class org.flag4j.arrays.dense.SemiringVector: Checks if an object is equal to this vector object.
equals(Object) - Method in class org.flag4j.arrays.dense.Tensor: Checks if an object is equal to this tensor object.
equals(Object) - Method in class org.flag4j.arrays.dense.Vector: Checks if an object is equal to this vector object.
equals(Object) - Method in record class org.flag4j.arrays.IntTuple: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class org.flag4j.arrays.Pair: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class org.flag4j.arrays.Shape: Checks if an object is equal to this shape.
equals(Object) - Method in class org.flag4j.arrays.SmartMatrix: Checks if an object is equal to this matrix object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Checks if an object is equal to this matrix object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooCTensor: Checks if an object is equal to this tensor object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooCVector: Checks if an object is equal to this vector object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Checks if an object is equal to this matrix object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooFieldTensor: Checks if an object is equal to this tensor object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Checks if an object is equal to this vector object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooMatrix: Checks if an object is equal to this matrix.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooRingTensor: Checks if an object is equal to this tensor object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooRingVector: Checks if an object is equal to this vector object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooSemiringTensor: Checks if an object is equal to this tensor object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooSemiringVector: Checks if an object is equal to this vector object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooTensor: Checks if an object is equal to this tensor object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CooVector: Checks if an object is equal to this vector object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Checks if an object is equal to this matrix object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Checks if an object is equal to this matrix object.
equals(Object) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Checks if an object is equal to this matrix object.
equals(Object) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Checks if this permutation matrix is equal to the given object.
equals(Object) - Method in class org.flag4j.arrays.sparse.SymmTriDiag: Checks if an object is equal to this symmetric tri-diagonal matrix.
equals(Object) - Method in record class org.flag4j.arrays.SparseMatrixData: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class org.flag4j.arrays.SparseTensorData: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class org.flag4j.arrays.SparseVectorData: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class org.flag4j.arrays.Triple: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class org.flag4j.arrays.Tuple: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class org.flag4j.io.MatrixMarketHeader: Indicates whether some other object is "equal to" this one.
equalShapeErrMsg(Shape, Shape) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for two tensors with mismatching shapes.
erref(CMatrix) - Static method in class org.flag4j.linalg.RowEchelon: Computes the extended reduced row echelon form of a matrix.
erref(Matrix) - Static method in class org.flag4j.linalg.RowEchelon: Computes the extended reduced row echelon form of a matrix.
error(String) - Static method in class org.flag4j.io.parsing.Lexer: Stops execution with an error message
ErrorMessages - Class in org.flag4j.util: Contains error messages for common errors which may occur.
ExactSolver<T,U> - Class in org.flag4j.linalg.solvers.exact: Solves a well determined system of equations Ax=b in an exact sense by using a LU decomposition.
ExactSolver(LU<T>, LinearMatrixSolver<T, U>, LinearMatrixSolver<T, U>) - Constructor for class org.flag4j.linalg.solvers.exact.ExactSolver: Constructs an exact LU solver with a specified LU decomposer.
ExactTensorSolver<T,U,V> - Class in org.flag4j.linalg.solvers.exact: Solves a well determined system of equations AX=B in an exact sense where A, X, and B are tensors.
ExactTensorSolver(LinearMatrixSolver<U, V>) - Constructor for class org.flag4j.linalg.solvers.exact.ExactTensorSolver: Creates an exact tensor solver which will use reform the problem as a matrix linear system and use the provided solver to solve the tensor system.
Examples: - Search tag in class org.flag4j.linalg.transformations.Projection: Section
Examples of Fields: - Search tag in interface org.flag4j.algebraic_structures.Field: Section
Examples of Rings: - Search tag in interface org.flag4j.algebraic_structures.Ring: Section
Examples of Semirings: - Search tag in interface org.flag4j.algebraic_structures.Semiring: Section
Example Usage - Search tag in class org.flag4j.linalg.transformations.Rotation: Section
Example usage: - Search tag in class org.flag4j.arrays.Shape: Section
Example usage: - Search tag in class org.flag4j.arrays.sparse.PermutationMatrix: Section
Example Usage: - Search tag in class org.flag4j.arrays.dense.FieldTensor: Section
Example Usage: - Search tag in class org.flag4j.arrays.dense.RingMatrix: Section
Example Usage: - Search tag in class org.flag4j.arrays.dense.RingTensor: Section
Example Usage: - Search tag in class org.flag4j.arrays.dense.SemiringMatrix: Section
Example Usage: - Search tag in class org.flag4j.arrays.dense.SemiringTensor: Section
Example Usage: - Search tag in class org.flag4j.arrays.sparse.CooFieldMatrix: Section
Example Usage: - Search tag in class org.flag4j.arrays.sparse.CooFieldTensor: Section
Example Usage: - Search tag in class org.flag4j.arrays.sparse.CooFieldVector: Section
Example Usage: - Search tag in class org.flag4j.arrays.sparse.CooRingTensor: Section
Example Usage: - Search tag in class org.flag4j.arrays.sparse.CooRingVector: Section
Example Usage: - Search tag in class org.flag4j.arrays.sparse.CooSemiringTensor: Section
Example Usage: - Search tag in class org.flag4j.arrays.sparse.CooSemiringVector: Section
Example Usage: - Search tag in class org.flag4j.linalg.MatrixNorms: Section
Example Usage: - Search tag in class org.flag4j.rng.RandomComplex: Section
Example Usage: - Search tag in class org.flag4j.rng.RandomDenseTensor: Section
Example Usage: - Search tag in class org.flag4j.rng.RandomSparseTensor: Section
Example Usage: - Search tag in class org.flag4j.util.ArrayBuilder: Section
Example Usage: - Search tag in class org.flag4j.util.ArrayJoiner: Section
exceptionalThreshold - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Number of iterations to run without deflation before an exceptional shift is done.
exp(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the exponential function with the given input.
exp(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the exponential function with the given input.
Extended Operations: - Search tag in interface org.flag4j.algebraic_structures.Field: Section
extractNormalizedCols(CMatrix, int) - Method in class org.flag4j.linalg.decompositions.svd.ComplexSVD: Extracts the singular vectors, normalizes them and sets the columns of U and V to be the left/right singular vectors.
extractNormalizedCols(Matrix, int) - Method in class org.flag4j.linalg.decompositions.svd.RealSVD: Extracts the singular vectors, normalizes them and sets the columns of U and V to be the left/right singular vectors.
extractNormalizedCols(T, int) - Method in class org.flag4j.linalg.decompositions.svd.SVD: Extracts the singular vectors, normalizes them and sets the columns of U and V to be the left/right singular vectors.

F

FALSE - Static variable in class org.flag4j.algebraic_structures.BoolSemiring: The boolean value false.
Features: - Search tag in class org.flag4j.arrays.SmartMatrix: Section
Features: - Search tag in class org.flag4j.rng.RandomDenseTensor: Section
Features: - Search tag in class org.flag4j.rng.RandomSparseTensor: Section
fib(Matrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the Frobenius inner product of two matrices.
fib(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the Frobenius inner product of two matrices.
fib(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the Frobenius inner product of two matrices.
fib(T) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Computes the Frobenius inner product of two matrices.
field() - Method in record class org.flag4j.io.MatrixMarketHeader: Returns the value of the field record component.
Field<T> - Interface in org.flag4j.algebraic_structures: Defines a mathematical field structure and specifies the operations that field elements must support.
FieldLU<T> - Class in org.flag4j.linalg.decompositions.lu: This class provides methods for computing the LU decomposition of a dense matrix whose elements are members of a Field.
FieldLU() - Constructor for class org.flag4j.linalg.decompositions.lu.FieldLU: Constructs a LU decomposer to decompose the specified matrix using partial pivoting.
FieldLU(LU.Pivoting) - Constructor for class org.flag4j.linalg.decompositions.lu.FieldLU: Constructs a LU decomposer to decompose the specified matrix.
FieldLU(LU.Pivoting, double) - Constructor for class org.flag4j.linalg.decompositions.lu.FieldLU: Constructs a LU decomposer to decompose the specified matrix.
FieldMatrix<T> - Class in org.flag4j.arrays.dense: Instances of this class represents a dense matrix backed by a Field array.
FieldMatrix(int, int, T) - Constructor for class org.flag4j.arrays.dense.FieldMatrix: Creates a dense field matrix with the specified data and filled with filledValue.
FieldMatrix(int, int, T[]) - Constructor for class org.flag4j.arrays.dense.FieldMatrix: Creates a dense field matrix with the specified data and shape.
FieldMatrix(int, int, T[][]) - Constructor for class org.flag4j.arrays.dense.FieldMatrix: Creates a dense field matrix with the specified data and shape.
FieldMatrix(Shape, T) - Constructor for class org.flag4j.arrays.dense.FieldMatrix: Creates a dense field matrix with the specified data and filled with filledValue.
FieldMatrix(Shape, T[]) - Constructor for class org.flag4j.arrays.dense.FieldMatrix: Creates a dense field matrix with the specified data and shape.
FieldMatrix(T[][]) - Constructor for class org.flag4j.arrays.dense.FieldMatrix: Creates a dense field matrix with the specified data and shape.
FieldOps - Class in org.flag4j.linalg.ops.common.field_ops: This utility class contains ops for tensors whose elements are members of a Field.
FieldTensor<T> - Class in org.flag4j.arrays.dense: Instances of this class represent a dense tensor backed by a Field array.
FieldTensor(Object) - Constructor for class org.flag4j.arrays.dense.FieldTensor: Creates a tensor from an nD array.
FieldTensor(Shape, T) - Constructor for class org.flag4j.arrays.dense.FieldTensor: Creates a tensor with the specified shape filled with fillValue.
FieldTensor(Shape, T[]) - Constructor for class org.flag4j.arrays.dense.FieldTensor: Creates a tensor with the specified data and shape.
FieldTensorMixin<T,U,V> - Interface in org.flag4j.arrays.backend.field_arrays: This interface provides default functionality for all tensors whose data are elements of a Field.
FieldVector<T> - Class in org.flag4j.arrays.dense: Instances of this class represents a dense vector backed by a Field array.
FieldVector(int, T) - Constructor for class org.flag4j.arrays.dense.FieldVector: Creates a vector with the specified size filled with the fillValue.
FieldVector(Shape, T[]) - Constructor for class org.flag4j.arrays.dense.FieldVector: Constructs a dense complex vector with the given shape and entries.
FieldVector(T...) - Constructor for class org.flag4j.arrays.dense.FieldVector: Creates a vector with the specified data.
fill(double[][], double) - Static method in class org.flag4j.util.ArrayBuilder: Fills an array with the specified value;
fill(Complex128[], double) - Static method in class org.flag4j.util.ArrayBuilder: Fills an array with specified value.
fill(Complex128[], double, int, int) - Static method in class org.flag4j.util.ArrayBuilder: Fills range of an array with specified value.
fill(T[][], T) - Static method in class org.flag4j.util.ArrayBuilder: Fills an array with specified value.
filledArray(int, int) - Static method in class org.flag4j.util.ArrayBuilder: Constructs an integer array filled with a specific value.
fillZeros(Complex128[][]) - Static method in class org.flag4j.util.ArrayBuilder: Fills an array of complex numbers with zeros.
findFirstLast(int[], int) - Static method in class org.flag4j.util.ArrayUtils: Finds the first and last index of a specified key within a sorted array.
findMaxAndInit(int) - Method in class org.flag4j.linalg.decompositions.hess.HermHess: Finds the maximum value in UnitaryDecomposition.transformMatrix at column j at or below the jth row.
findMaxAndInit(int) - Method in class org.flag4j.linalg.decompositions.hess.SymmHess: Finds the maximum value in UnitaryDecomposition.transformMatrix at column j at or below the jth row.
findMaxAndInit(int) - Method in class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: Finds the maximum value in UnitaryDecomposition.transformMatrix at column j at or below the jth row.
findMaxAndInit(int) - Method in class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: Finds the maximum value in UnitaryDecomposition.transformMatrix at column j at or below the jth row.
findMaxAndInit(int) - Method in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Finds the maximum value in UnitaryDecomposition.transformMatrix at column j at or below the jth row.
first() - Method in record class org.flag4j.arrays.Pair: Returns the value of the first record component.
first() - Method in record class org.flag4j.arrays.Triple: Returns the value of the first record component.
Flag4jConstants - Class in org.flag4j.util: A simple utility class containing useful constants.
Flag4jParsingException - Exception Class in org.flag4j.util.exceptions: An exception which is thrown when an unexpected error occurs while trying to parse a string representing some algebraic structure (e.g. matrix, complex number, etc.).
Flag4jParsingException(String) - Constructor for exception class org.flag4j.util.exceptions.Flag4jParsingException: Creates a Flag4jParsingException to be thrown when an unexpected error occurs while trying to parse a string representing some algebraic structure (e.g. matrix, complex number, etc.).
flatten() - Method in class org.flag4j.arrays.backend.AbstractTensor: Flattens tensor to single dimension while preserving order of data.
flatten() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Flattens this matrix to a single row.
flatten() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Flattens tensor to single dimension while preserving order of data.
flatten() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Flattens tensor to single dimension while preserving order of data.
flatten() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Flattens tensor to single dimension while preserving order of data.
flatten() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Flattens this matrix to a row vector.
flatten() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Flattens tensor to single dimension while preserving order of data.
flatten() - Method in class org.flag4j.arrays.dense.Matrix: Flattens this matrix to a row vector.
flatten() - Method in class org.flag4j.arrays.dense.Tensor: Flattens tensor to single dimension while preserving order of data.
flatten() - Method in class org.flag4j.arrays.dense.Vector: Flattens tensor to single dimension while preserving order of data.
flatten() - Method in class org.flag4j.arrays.Shape: Flattens this shape to a rank-1 shape with dimension equal to the product of all of this shape's dimensions.
flatten() - Method in class org.flag4j.arrays.sparse.CooMatrix: Flattens tensor to single dimension while preserving order of data.
flatten() - Method in class org.flag4j.arrays.sparse.CooTensor: Flattens tensor to single dimension while preserving order of data.
flatten() - Method in class org.flag4j.arrays.sparse.CooVector: Flattens tensor to single dimension while preserving order of data.
flatten() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Flattens tensor to single dimension while preserving order of data.
flatten(double[][]) - Static method in class org.flag4j.util.ArrayUtils: Flattens a two-dimensional array.
flatten(int) - Method in class org.flag4j.arrays.backend.AbstractTensor: Flattens a tensor along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Flattens a tensor along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Flattens a tensor along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Flattens a tensor along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Flattens a tensor along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Flattens this matrix along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Flattens a tensor along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.dense.Matrix: Flattens this matrix along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.dense.Tensor: Flattens a tensor along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.dense.Vector: Flattens a tensor along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Flattens a tensor along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.sparse.CooTensor: Flattens a tensor along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.sparse.CooVector: Flattens a tensor along the specified axis.
flatten(int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Flattens a tensor along the specified axis.
flatten(int[][]) - Static method in class org.flag4j.util.ArrayUtils: Flattens a two-dimensional array.
flatten(Complex128[][]) - Static method in class org.flag4j.util.ArrayUtils: Flattens a two-dimensional array.
flatten(Shape, T[], int[], int[], int, int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.csr.CsrConversions: Computes the new row pointers and column indices for a sparse CSR matrix flattened along some axis.
flatten(T[][]) - Static method in class org.flag4j.util.ArrayUtils: Flattens a two-dimensional array.
flatten(T[][]) - Static method in class org.flag4j.util.ArrayUtils: Flattens a two-dimensional array.
Formal Definition: - Search tag in interface org.flag4j.algebraic_structures.Field: Section
Formal Definition: - Search tag in interface org.flag4j.algebraic_structures.Ring: Section
Formal Definition: - Search tag in interface org.flag4j.algebraic_structures.Semiring: Section
format() - Method in record class org.flag4j.io.MatrixMarketHeader: Returns the value of the format record component.
forwardSolver - Variable in class org.flag4j.linalg.solvers.exact.ExactSolver: Forward Solver for solving system with lower triangular coefficient matrix.
ForwardSolver<T,U,V> - Class in org.flag4j.linalg.solvers.exact.triangular: This solver solves linear systems of equations where the coefficient matrix in a lower triangular real dense matrix and the constant vector is a real dense vector.
ForwardSolver(boolean, boolean) - Constructor for class org.flag4j.linalg.solvers.exact.triangular.ForwardSolver: Creates a solver for solving a lower-triangular system.
fromColSwaps(int[]) - Static method in class org.flag4j.arrays.sparse.PermutationMatrix: Creates a permutation matrix with the specified column permutation.
fromCsv(String, Class<? extends MatrixMixin<?, ?, ?, ?>>) - Static method in class org.flag4j.io.TensorReader: Reads a CSV file into a matrix of the specified type.
fromCsv(String, String, Class<? extends MatrixMixin<?, ?, ?, ?>>) - Static method in class org.flag4j.io.TensorReader: Reads a CSV file into a matrix of the specified type.
fromDense(Vector) - Static method in class org.flag4j.arrays.sparse.CooVector: Creates a sparse tensor from a dense tensor.
fromDoubleList(List<Double>) - Static method in class org.flag4j.util.ArrayConversions: Converts a list of Doubles objects to a primitive array.
fromIntegerList(List<Integer>) - Static method in class org.flag4j.util.ArrayConversions: Converts a list of Integer objects to a primitive array.
fromIntegerList(List<Integer>, int[]) - Static method in class org.flag4j.util.ArrayConversions: Converts a list of Integer objects to a primitive array.
fromList(List<T>, T[]) - Static method in class org.flag4j.util.ArrayConversions: Converts a list to an array.
fromPolar(double, double) - Static method in class org.flag4j.algebraic_structures.Complex128: Converts a complex number expressed in polar from to the rectangular form.
fromPolar(float, float) - Static method in class org.flag4j.algebraic_structures.Complex64: Converts a complex number expressed in polar from to the rectangular form.
FULL - Enum constant in enum class org.flag4j.linalg.decompositions.lu.LU.Pivoting
fullPivot() - Method in class org.flag4j.linalg.decompositions.lu.ComplexLU: Computes the LU decomposition using full/rook pivoting (i.e. row and column swapping).
fullPivot() - Method in class org.flag4j.linalg.decompositions.lu.FieldLU: Computes the LU decomposition using full/rook pivoting (i.e. row and column swapping).
fullPivot() - Method in class org.flag4j.linalg.decompositions.lu.LU: Computes the LU decomposition using full/rook pivoting (i.e. row and column swapping).
fullPivot() - Method in class org.flag4j.linalg.decompositions.lu.RealLU: Computes the LU decomposition using full/rook pivoting (i.e. row and column swapping).

G

GENERAL - Enum constant in enum class org.flag4j.io.MatrixMarketHeader.MMSymmetry
get(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Gets the element of this vector at the specified index.
get(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Gets the element of this vector at the specified index.
get(int) - Method in interface org.flag4j.arrays.backend.VectorMixin: Gets the element of this vector at the specified index.
get(int) - Method in class org.flag4j.arrays.dense.Vector: Gets the element of this vector at the specified index.
get(int) - Method in class org.flag4j.arrays.Shape: Get the size of the shape object in the specified dimension.
get(int) - Method in class org.flag4j.arrays.sparse.CooVector: Gets the element of this vector at the specified index.
get(int...) - Method in class org.flag4j.arrays.backend.AbstractTensor: Gets the element of this tensor at the specified indices.
get(int...) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Gets the element of this tensor at the specified indices.
get(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets the element of this tensor at the specified index.
get(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Gets the element of this tensor at the specified target.
get(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Gets the element of this tensor at the specified indices.
get(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Gets the element of this tensor at the specified indices.
get(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Gets the element of this tensor at the specified indices.
get(int...) - Method in class org.flag4j.arrays.sparse.CooMatrix: Gets the element of this tensor at the specified indices.
get(int...) - Method in class org.flag4j.arrays.sparse.CooTensor: Gets the element of this tensor at the specified indices.
get(int...) - Method in class org.flag4j.arrays.sparse.CooVector: Gets the element of this tensor at the specified target index.
get(int...) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Gets the element of this tensor at the specified indices.
get(int, int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets the element of this matrix at this specified row and col.
get(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets the element of this matrix at this specified row and col.
get(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Gets the element of this matrix at this specified row and col.
get(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Gets the element of this matrix at this specified row and col.
get(int, int) - Method in class org.flag4j.arrays.dense.Matrix: Gets the element of this matrix at this specified row and col.
get(int, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Gets the element of this matrix at this specified row and col.
get(int, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Gets the element of this matrix at this specified row and col.
get(int, int) - Method in class org.flag4j.arrays.sparse.SymmTriDiag: Gets the entry within this symmetric tri-diagonal matrix at the specified indices.
get(int, int, Class<T>) - Method in class org.flag4j.arrays.SmartMatrix: Gets the element from this matrix at the specified indices.
get2x2EigenValues(double, double, double, double) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues of a 2x2 matrix explicitly.
get2x2EigenValues(Complex128, Complex128, Complex128, Complex128) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues of a 2-by-2 complex matrix (assumed to be row major).
get2x2EigenValues(CMatrix) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues of a 2x2 matrix explicitly.
get2x2EigenValues(Matrix) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues of a 2x2 matrix explicitly.
get2x2Rotator(double, double) - Static method in class org.flag4j.linalg.transformations.Givens: Constructs a Givens rotator G of size 2 such that for a vector v = [a, b] nwe have Gv = [r, 0].
get2x2Rotator(Complex128, Complex128) - Static method in class org.flag4j.linalg.transformations.Givens: Constructs a Givens rotator G of size 2 such that for a vector v = [a, b] we have Gv = [r, 0].
get2x2Rotator(CVector) - Static method in class org.flag4j.linalg.transformations.Givens: Constructs a Givens rotator G of size 2 such that for a vector v = [a, b] we have Gv = [r, 0].
get2x2Rotator(Vector) - Static method in class org.flag4j.linalg.transformations.Givens: Constructs a Givens rotator G of size 2 such that for a vector v = [a, b] we have Gv = [r, 0].
getArrayHasLengthErr(int, int, String) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for when an array does not have the expected length.
getArrayLengthsMismatchErr(int...) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for arrays which were expected to be the same length.
getAxisErr(int) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a disallowed axis.
getAxisErr(int, int...) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a disallowed axis.
getB() - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Gets the full balanced matrix, B, for the last matrix balanced by this balancer.
getBlockSize() - Static method in class org.flag4j.concurrency.Configurations: Gets the current block size used in blocked algorithms.
getBSubMatrix() - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Gets the sub-matrix B₁ of the full balanced matrix which did not isolate eigenvalues.
getCol(int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets the column of this matrix at the specified index.
getCol(int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Get the column of this matrix at the specified index.
getCol(int) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Get the column of this matrix at the specified index.
getCol(int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Get the column of this matrix at the specified index.
getCol(int, int, int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets a range of a column of this matrix.
getCol(int, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets a range of a column of this matrix.
getCol(int, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Gets a specified column of this matrix between rowStart (inclusive) and rowEnd (exclusive).
getCol(int, int, int) - Method in class org.flag4j.arrays.dense.Matrix: Gets a specified column of this matrix between rowStart (inclusive) and rowEnd (exclusive).
getCol(int, int, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Gets a specified column of this matrix between rowStart (inclusive) and rowEnd (exclusive).
getCol(int, int, int) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Gets a range of a column of this matrix.
getCol(int, int, int) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Gets a specified column of this matrix between rowStart (inclusive) and rowEnd (exclusive).
getCol(int, int, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Gets a specified column of this matrix between rowStart (inclusive) and rowEnd (exclusive).
getCol(int, int, int) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Gets a range of a column of this matrix.
getCol(int, int, int) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Gets a range of a column of this matrix.
getCol(Shape, T[], int[], int[], int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Gets a specified column of a COO matrix between start (inclusive) and end (exclusive).
getCol(CooMatrix, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Gets a specified column from this sparse matrix.
getCol(CooMatrix, int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Gets a specified column range from this sparse matrix.
getColSpace(CMatrix) - Static method in class org.flag4j.linalg.SubSpace: Computes an orthonormal basis of the column space of a specified matrix.
getColSpace(Matrix) - Static method in class org.flag4j.linalg.SubSpace: Computes an orthonormal basis of the column space of a specified matrix.
getContent() - Method in class org.flag4j.io.parsing.Lexer: Gets the content of this Lexer.
getCoo(double[], int[][], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Gets an element of a sparse COO tensor at the specified index.
getCoo(float[], int[][], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Gets an element of a sparse COO tensor at the specified index.
getCoo(int[], int[][], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Gets an element of a sparse COO tensor at the specified index.
getCoo(T[], int[][], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Gets an element of a sparse COO tensor at the specified index.
getCoo(V[], int[], int) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Gets the specified element from a sparse COO vector.
getCoo(V[], int[], int[], int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Gets the specified element from a sparse COO matrix.
getD() - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Gets the diagonal scaling factors for the last matrix balanced by this balancer.
getD(boolean) - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Gets the diagonal scaling matrix for the last matrix balanced by this balancer.
getData() - Method in class org.flag4j.arrays.backend.AbstractTensor: Gets the entry data of this tensor as a 1D array.
getData() - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Gets the data of this tensor.
getDet() - Method in class org.flag4j.linalg.solvers.exact.triangular.ComplexBackSolver: Gets the determinant computed during the last solve.
getDet() - Method in class org.flag4j.linalg.solvers.exact.triangular.ComplexForwardSolver: Gets the determinant computed during the last solve.
getDet() - Method in class org.flag4j.linalg.solvers.exact.triangular.RealBackSolver: Gets the determinant computed during the last solve.
getDet() - Method in class org.flag4j.linalg.solvers.exact.triangular.RealForwardSolver: Gets the determinant computed during the last solve.
getDiag() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets the diagonal elements of this matrix.
getDiag() - Method in class org.flag4j.arrays.dense.Matrix: Extracts the diagonal elements of this matrix and returns them as a vector.
getDiag() - Method in class org.flag4j.arrays.sparse.CooMatrix: Extracts the diagonal elements of this matrix and returns them as a vector.
getDiag() - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Extracts the diagonal elements of this matrix and returns them as a vector.
getDiag() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Extracts the diagonal elements of this matrix and returns them as a vector.
getDiag(int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets the elements of this matrix along the specified diagonal.
getDiag(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets the elements of this matrix along the specified diagonal.
getDiag(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Gets the elements of this matrix along the specified diagonal.
getDiag(int) - Method in class org.flag4j.arrays.dense.Matrix: Gets the elements of this matrix along the specified diagonal.
getDiag(int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Gets the elements of this matrix along the specified diagonal.
getDiag(int) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Gets the elements of this matrix along the specified diagonal.
getDiag(int) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Gets the elements of this matrix along the specified diagonal.
getDiag(int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Gets the elements of this matrix along the specified diagonal.
getDiag(int) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Gets the elements of this matrix along the specified diagonal.
getDiag(int) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Gets the elements of this matrix along the specified diagonal.
getDiag(Shape, T[], int[], int[], int) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Gets the elements of a COO matrix along the specified diagonal.
getDims() - Method in class org.flag4j.arrays.Shape: Gets the shape of a tensor as an array of dimensions.
getEigenPairs(CMatrix) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues and eigenvectors of a square real matrix.
getEigenPairs(CMatrix, long) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues and eigenvectors of a square complex matrix.
getEigenPairs(Matrix) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues and eigenvectors of a square complex matrix.
getEigenPairs(Matrix, long) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues and eigenvectors of a square real matrix.
getEigenValues(CMatrix) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues of a square complex dense matrix.
getEigenValues(CMatrix, long) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues of a square complex dense matrix.
getEigenValues(CMatrix, long, int) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues of a square complex dense matrix.
getEigenValues(Matrix) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues of a square real dense matrix.
getEigenValues(Matrix, long) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues of a square real dense matrix.
getEigenValues(Matrix, long, int) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvalues of a square real dense matrix.
getEigenVectors(CMatrix) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvectors of a square real dense matrix.
getEigenVectors(CMatrix, long) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvectors of a square real dense matrix.
getEigenVectors(CMatrix, long, int) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvectors of a square real dense matrix.
getEigenVectors(Matrix) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvectors of a square real dense matrix.
getEigenVectors(Matrix, long) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvectors of a square real dense matrix.
getEigenVectors(Matrix, long, int) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvectors of a square real dense matrix.
getEigenVectorsTriu(CMatrix) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvectors of an upper triangular matrix.
getEigenVectorsTriu(Matrix) - Static method in class org.flag4j.linalg.Eigen: Computes the eigenvectors of an upper triangular matrix.
getEmpty(int) - Static method in class org.flag4j.arrays.dense.CVector: Constructs an empty vector with the specified size.
getEmpty(int, int) - Static method in class org.flag4j.arrays.dense.CMatrix: Constructs an empty matrix with the specified number of rows and columns.
getFlatIndex(int...) - Method in class org.flag4j.arrays.Shape: Computes the index of the 1D data array for a dense tensor from nD indices for a tensor with this shape.
getGeneralRotator(int, int, int, double) - Static method in class org.flag4j.linalg.transformations.Givens: Constructs a general Givens rotation matrix.
getGreaterEqErr(double, double) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a value which was expected to be greater than of equal to a specified threshold but wasn't.
getH() - Method in class org.flag4j.linalg.decompositions.hess.ComplexHess: Gets the upper Hessenburg matrix H from the Hessenburg decomposition.
getH() - Method in class org.flag4j.linalg.decompositions.hess.HermHess: Gets the Hessenberg matrix from the decomposition.
getH() - Method in class org.flag4j.linalg.decompositions.hess.RealHess: Gets the upper Hessenburg matrix H from the Hessenburg decomposition.
getH() - Method in class org.flag4j.linalg.decompositions.hess.SymmHess: Gets the Hessenberg matrix from the decomposition.
getIHigh() - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Gets the starting index (exclusive) for the sub-matrix B₁ of the balanced matrix which did not isolate eigenvalues.
getILow() - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Gets the starting index (inclusive) for the sub-matrix B₁ of the balanced matrix which did not isolate eigenvalues.
getIndicesRankErr(int, int) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a tensor being indexed with a number of indices not equal to the rank of the tensor.
getInstance() - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher: Gets the singleton instance of this class.
getInstance() - Static method in class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher: Gets the singleton instance of this class.
getInvalidOppMessage(MatrixMixin<?, ?, ?, ?>) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
getL() - Method in class org.flag4j.linalg.decompositions.chol.Cholesky: Gets the L matrix computed by the Cholesky decomposition A=LL^H.
getL() - Method in class org.flag4j.linalg.decompositions.lu.ComplexLU: Gets the unit lower triangular matrix of the decomposition.
getL() - Method in class org.flag4j.linalg.decompositions.lu.FieldLU: Gets the unit lower triangular matrix of the decomposition.
getL() - Method in class org.flag4j.linalg.decompositions.lu.LU: Gets the unit lower triangular matrix of the decomposition.
getL() - Method in class org.flag4j.linalg.decompositions.lu.RealLU: Gets the unit lower triangular matrix of the decomposition.
getLeftNullSpace(CMatrix) - Static method in class org.flag4j.linalg.SubSpace: Computes an orthonormal basis of the left null space of a specified matrix.
getLeftNullSpace(Matrix) - Static method in class org.flag4j.linalg.SubSpace: Computes an orthonormal basis of the left null space of a specified matrix.
getLessEqErr(double, double) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a value which was expected to be less than of equal to a specified threshold but wasn't.
getLH() - Method in class org.flag4j.linalg.decompositions.chol.Cholesky: Gets the L^H matrix computed by the Cholesky decomposition A=LL^H.
getLU() - Method in class org.flag4j.linalg.decompositions.lu.LU: Gets the L and U matrices of the decomposition combined in a single matrix.
getMatrix() - Method in class org.flag4j.arrays.SmartMatrix: Gets reference to the matrix which backs this SmartMatrix.
getMaxColumns() - Static method in class org.flag4j.io.PrintOptions: Gets the current maximum number of columns to print.
getMaxRows() - Static method in class org.flag4j.io.PrintOptions: Gets the maximum number of rows to print.
getNamedGreaterEqErr(double, double, String) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a value which was expected to be greater than of equal to a specified threshold but wasn't.
getNamedLessEqErr(double, double, String) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a value which was expected to be less than of equal to a specified threshold but wasn't.
getNamedLessEqErr(BigInteger, double, String) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a value which was expected to be less than of equal to a specified threshold but wasn't.
getNdIndices(int) - Method in class org.flag4j.arrays.Shape: Efficiently computes the nD tensor indices based on an index from the internal 1D data array.
getNegValueErr(double) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a negative value when a non-negative was expected.
getNextSymbol() - Method in class org.flag4j.io.parsing.Lexer: Produces individual symbols from content, left to right, as ascii values.
getNextToken() - Method in class org.flag4j.io.parsing.Lexer: Produces next Token from the string being parsed.
getNonPosErr(double) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a non-positive value when a positive, non-zero value was expected.
getNullSpace(CMatrix) - Static method in class org.flag4j.linalg.SubSpace: Computes an orthonormal basis of the null space of a specified matrix.
getNullSpace(Matrix) - Static method in class org.flag4j.linalg.SubSpace: Computes an orthonormal basis of the null space of a specified matrix.
getNumColSwaps() - Method in class org.flag4j.linalg.decompositions.lu.LU: Gets the number of column swaps used in the last decomposition.
getNumRowSwaps() - Method in class org.flag4j.linalg.decompositions.lu.LU: Gets the number of row swaps used in the last decomposition.
getNumThreads() - Static method in class org.flag4j.concurrency.Configurations: Gets the current number of threads to be used.
getOne() - Method in class org.flag4j.algebraic_structures.BoolSemiring: Gets the multiplicative identity for this semiring.
getOne() - Method in class org.flag4j.algebraic_structures.Complex128: Gets the multiplicative identity for this semiring.
getOne() - Method in class org.flag4j.algebraic_structures.Complex64: Gets the multiplicative identity for this semiring.
getOne() - Method in class org.flag4j.algebraic_structures.RealFloat32: Gets the multiplicative identity for this semiring.
getOne() - Method in class org.flag4j.algebraic_structures.RealFloat64: Gets the multiplicative identity for this semiring.
getOne() - Method in class org.flag4j.algebraic_structures.RealInt16: Gets the multiplicative identity for this semiring.
getOne() - Method in class org.flag4j.algebraic_structures.RealInt32: Gets the multiplicative identity for this semiring.
getOne() - Method in interface org.flag4j.algebraic_structures.Semiring: Gets the multiplicative identity for this semiring.
getOrCreateArray(double[], int) - Static method in class org.flag4j.util.ArrayBuilder: Checks if an array is null and constructs a new array with the specified size if so.
getOrCreateArray(int[], int) - Static method in class org.flag4j.util.ArrayBuilder: Checks if an array is null and constructs a new array with the specified size if so.
getOrCreateArray(T[], Supplier<T[]>) - Static method in class org.flag4j.util.ArrayBuilder: Checks if an array is null and constructs a new array using the specified initializer if so.
getOrthogonal(double, double, double, double) - Static method in class org.flag4j.linalg.transformations.Projection: Creates a 4x4 orthogonal projection matrix to project a 3D point in homogeneous coordinates onto the specified 2D coordinate grid (i.e. image plane).
getOrthogonal(double, double, double, double, double, double) - Static method in class org.flag4j.linalg.transformations.Projection: Creates a 4x4 orthogonal projection matrix to project a 3D point in homogeneous coordinates onto the specified 2D coordinate grid (i.e. image plane).
getOrthogonal2D(double, double) - Static method in class org.flag4j.linalg.transformations.Projection: Creates a 4x4 orthogonal projection matrix to project a 2D point in an orthographic viewing region. the minimum x and y values are assumed to be zero.
getOrthogonal2D(double, double, double, double) - Static method in class org.flag4j.linalg.transformations.Projection: Creates a 4x4 orthogonal projection matrix to project a 2D point in an orthographic viewing region.
getOutputShape() - Method in class org.flag4j.linalg.ops.TensorDot: Gets the shape of the tensor resulting from this tensor dot product as specified in the constructor.
getOutputShape(T, T, int) - Method in class org.flag4j.linalg.solvers.exact.ExactTensorSolver: Constructs the shape of the output.
getOutputSize() - Method in class org.flag4j.linalg.ops.TensorDot: Gets the total number of data in the tensor resulting from this tensor dot product as specified in the constructor.
getP() - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Gets the permutation matrix for the last matrix balanced by this balancer.
getP() - Method in class org.flag4j.linalg.decompositions.lu.LU: Gets the row permutation matrix of the decomposition.
getPadding() - Static method in class org.flag4j.io.PrintOptions: Gets the current padding amount for columns.
getParallelismLevel() - Static method in class org.flag4j.concurrency.ThreadManager: Gets the current parallelism level for the ThreadManager.
getPermutation() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Returns the permutation represented by this permutation matrix.
getPerspective(double, double, double, double) - Static method in class org.flag4j.linalg.transformations.Projection: Creates a 4x4 perspective projection matrix to transform a 3D point represented in homogeneous coordinates.
getPerspective(double, double, double, double, double) - Static method in class org.flag4j.linalg.transformations.Projection: Creates a 4x4 perspective projection matrix to transform a 3D point represented in homogeneous coordinates.
getPrecision() - Static method in class org.flag4j.io.PrintOptions: Gets the current printing precision.
getQ() - Method in class org.flag4j.linalg.decompositions.lu.LU: Gets the column permutation matrix of the decomposition.
getQ() - Method in class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: Gets the unitary Q matrix from the QR decomposition.
getQ() - Method in class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: Gets the unitary Q matrix from the unitary decomposition.
getQ() - Method in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Gets the unitary Q matrix from the decomposition.
getR() - Method in class org.flag4j.linalg.decompositions.qr.ComplexQR: Gets the upper triangular matrix R from the QR decomposition.
getR() - Method in class org.flag4j.linalg.decompositions.qr.RealQR: Gets the upper triangular matrix R from the QR decomposition.
getRangeErr(double, double, double, String) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a value which is not within the expected range.
getRank() - Method in class org.flag4j.arrays.backend.AbstractTensor: Gets the rank of this tensor.
getRank() - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Gets the rank of this tensor.
getRank() - Method in class org.flag4j.arrays.Shape: Gets the rank of a tensor with this shape.
getRank() - Method in class org.flag4j.linalg.decompositions.svd.SVD: Gets the rank of the last matrix decomposed.
getReflector(CVector) - Static method in class org.flag4j.linalg.transformations.Householder: Computes the Householder reflector which describes a reflection through a hyperplane containing the origin which is normal to the specified normal vector.
getReflector(Vector) - Static method in class org.flag4j.linalg.transformations.Householder: Computes the Householder reflector which describes a reflection through a hyperplane containing the origin which is normal to the specified normal vector.
getRotator(double[], int) - Static method in class org.flag4j.linalg.transformations.Givens: Constructs a Givens rotator G such that for a vector v, Gv = [r₁ ... r_i ... r_n] where r_i=0.
getRotator(CVector, int) - Static method in class org.flag4j.linalg.transformations.Givens: Constructs a Givens rotator G such that for a vector v, Gv = [r₁ ... r_i ... r_n] where r_i=0.
getRotator(Vector, int) - Static method in class org.flag4j.linalg.transformations.Givens: Constructs a Givens rotator G such that for a vector v, Gv = [r₁ ... r_i ... r_n] where r_i=0.
getRow(int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets the row of this matrix at the specified index.
getRow(int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Get the row of this matrix at the specified index.
getRow(int) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Get the row of this matrix at the specified index.
getRow(int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Get the row of this matrix at the specified index.
getRow(int, int, int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets a range of a row of this matrix.
getRow(int, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets a range of a row of this matrix.
getRow(int, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Gets a specified row of this matrix between colStart (inclusive) and colEnd (exclusive).
getRow(int, int, int) - Method in class org.flag4j.arrays.dense.Matrix: Gets a specified row of this matrix between colStart (inclusive) and colEnd (exclusive).
getRow(int, int, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Gets a specified row of this matrix between colStart (inclusive) and colEnd (exclusive).
getRow(int, int, int) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Gets a range of a row of this matrix.
getRow(int, int, int) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Gets a specified row of this matrix between colStart (inclusive) and colEnd (exclusive).
getRow(int, int, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Gets a specified row of this matrix between colStart (inclusive) and colEnd (exclusive).
getRow(int, int, int) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Gets a range of a row of this matrix.
getRow(int, int, int) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Gets a range of a row of this matrix.
getRow(Shape, T[], int[], int[], int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Gets a specified row of a COO matrix between start (inclusive) and end (exclusive).
getRow(CooMatrix, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Gets a specified row from this sparse matrix.
getRow(CooMatrix, int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Gets a specified row range from this sparse matrix.
getRowSpace(CMatrix) - Static method in class org.flag4j.linalg.SubSpace: Computes an orthonormal basis of the row space of a specified matrix.
getRowSpace(Matrix) - Static method in class org.flag4j.linalg.SubSpace: Computes an orthonormal basis of the row space of a specified matrix.
getS() - Method in class org.flag4j.linalg.decompositions.svd.SVD: Gets the diagonal matrix S corresponding to M=USV^H in the SVD.
getScalePerm() - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Gets the raw scaling factors and permutation data stored in a single array.
getShape() - Method in class org.flag4j.arrays.backend.AbstractTensor: Gets the shape of this tensor.
getShape() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets the shape of this matrix.
getShape() - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Gets the shape of this tensor.
getShape() - Method in class org.flag4j.arrays.SmartMatrix: Gets the shape of this matrix.
getShape() - Method in class org.flag4j.arrays.sparse.SymmTriDiag: Gets the shape of this symmetric tri-diagonal matrix.
getShapeTotalEntriesErr(Shape, Shape) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for two shapes which cannot be broadcast together.
getSingularValues() - Method in class org.flag4j.linalg.decompositions.svd.SVD: Gets the singular values of the last matrix decomposed.
getSlice(int, int, int, int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets a specified slice of this matrix.
getSlice(int, int, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets a specified slice of this matrix.
getSlice(int, int, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Gets a specified slice of this matrix.
getSlice(int, int, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Gets a specified slice of this matrix.
getSlice(int, int, int, int) - Method in class org.flag4j.arrays.dense.Matrix: Gets a specified slice of this matrix.
getSlice(int, int, int, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Gets a specified slice of this matrix.
getSlice(int, int, int, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Gets a specified slice of this matrix.
getSlice(Shape, T[], int[], int[], int, int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Extracts a specified slice from a sparse COO matrix.
getSlice(Shape, T[], int[], int[], int, int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.csr.CsrOps: Gets a specified slice of a CSR matrix.
getSlice(CooMatrix, int, int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Gets a specified rectangular slice of a sparse matrix.
getSlice(CsrMatrix, int, int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrOps: Gets a specified slice of a CSR matrix.
getSquareShapeErr(Shape) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a shape which was expected to be square but was not
getStrides() - Method in class org.flag4j.arrays.Shape: Gets the strides of this shape as an array.
getT() - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Get the combined permutation and diagonal scaling matrix, T, from the last matrix balanced.
getT() - Method in class org.flag4j.linalg.decompositions.schur.Schur: Gets the upper, or possibly block-upper, triangular Schur matrix T from the Schur decomposition
getTotalEntriesErr() - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for arrays which do not have the same total number of data.
getTriL() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Extracts the lower-triangular portion of this matrix.
getTriL(int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Extracts the lower-triangular portion of this matrix with a specified diagonal offset.
getTriL(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Extracts the lower-triangular portion of this matrix with a specified diagonal offset.
getTriL(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Extracts the lower-triangular portion of this matrix with a specified diagonal offset.
getTriL(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Extracts the lower-triangular portion of this matrix with a specified diagonal offset.
getTriL(int) - Method in class org.flag4j.arrays.dense.Matrix: Extracts the lower-triangular portion of this matrix with a specified diagonal offset.
getTriL(int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Extracts the lower-triangular portion of this matrix with a specified diagonal offset.
getTriL(int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Extracts the lower-triangular portion of this matrix with a specified diagonal offset.
getTriL(int, Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Gets the lower-triangular portion of a sparse COO matrix with a possible diagonal offset.
getTriU() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Extracts the upper-triangular portion of this matrix.
getTriU(int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Extracts the upper-triangular portion of this matrix with a specified diagonal offset.
getTriU(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Extracts the upper-triangular portion of this matrix with a specified diagonal offset.
getTriU(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Extracts the upper-triangular portion of this matrix with a specified diagonal offset.
getTriU(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Extracts the upper-triangular portion of this matrix with a specified diagonal offset.
getTriU(int) - Method in class org.flag4j.arrays.dense.Matrix: Extracts the upper-triangular portion of this matrix with a specified diagonal offset.
getTriU(int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Extracts the upper-triangular portion of this matrix with a specified diagonal offset.
getTriU(int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Extracts the upper-triangular portion of this matrix with a specified diagonal offset.
getTriU(int, Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Gets the upper-triangular portion of a sparse COO matrix with a possible diagonal offset.
getTrShape(Shape, int, int) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringOps: Computes the shape of the tensor resulting from the generalized tensor trace along the specified axes for a tensor with the specified shape.
getU() - Method in class org.flag4j.linalg.decompositions.lu.ComplexLU: Gets the upper triangular matrix of the decomposition.
getU() - Method in class org.flag4j.linalg.decompositions.lu.FieldLU: Gets the upper triangular matrix of the decomposition.
getU() - Method in class org.flag4j.linalg.decompositions.lu.LU: Gets the upper triangular matrix of the decomposition.
getU() - Method in class org.flag4j.linalg.decompositions.lu.RealLU: Gets the upper triangular matrix of the decomposition.
getU() - Method in class org.flag4j.linalg.decompositions.schur.Schur: Gets the unitary matrix U from the Schur decomposition containing the Schur vectors as its columns.
getU() - Method in class org.flag4j.linalg.decompositions.svd.SVD: Gets the unitary matrix U corresponding to M=USV^H in the SVD.
getUpper() - Method in class org.flag4j.linalg.decompositions.hess.ComplexHess: Gets the upper Hessenburg matrix from the last decomposition.
getUpper() - Method in class org.flag4j.linalg.decompositions.hess.RealHess: Gets the upper Hessenburg matrix from the last decomposition.
getUpper() - Method in class org.flag4j.linalg.decompositions.qr.ComplexQR: Gets the upper triangular matrix R from the last decomposition.
getUpper() - Method in class org.flag4j.linalg.decompositions.qr.RealQR: Gets the upper triangular matrix R from the last decomposition.
getUpper() - Method in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Gets the upper triangular/Hessenburg matrix from the last decomposition.
getUpper(CMatrix) - Method in class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: Gets the upper triangular/Hessenburg matrix from the last decomposition.
getUpper(Matrix) - Method in class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: Gets the upper triangular/Hessenburg matrix from the last decomposition.
getUpper(T) - Method in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Gets the upper triangular/Hessenburg matrix from the last decomposition.
getUtilityClassErrMsg() - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for an attempted instantiation of a utility class.
getUtilityClassErrMsg(Class) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for an attempted instantiation of a utility class.
getV() - Method in class org.flag4j.linalg.decompositions.svd.SVD: Gets the unitary matrix V corresponding to M=USV^H in the SVD.
getValue() - Method in class org.flag4j.algebraic_structures.BoolSemiring: Gets the value of this semiring element.
getValue() - Method in class org.flag4j.algebraic_structures.RealFloat32: Gets the value of this field element.
getValue() - Method in class org.flag4j.algebraic_structures.RealFloat64: Gets the value of this field element.
getValue() - Method in class org.flag4j.algebraic_structures.RealInt16: Gets the value of this ring element.
getValue() - Method in class org.flag4j.algebraic_structures.RealInt32: Gets the value of this field element.
getVector(Vector) - Static method in class org.flag4j.linalg.transformations.Householder: Computes the vector v in of a Householder matrix H=I-2vv^T where H is a transformation matrix which reflects a vector across the plane normal to normal.
getZero() - Method in class org.flag4j.algebraic_structures.BoolSemiring: Gets the additive identity for this semiring.
getZero() - Method in class org.flag4j.algebraic_structures.Complex128: Gets the additive identity for this semiring.
getZero() - Method in class org.flag4j.algebraic_structures.Complex64: Gets the additive identity for this semiring.
getZero() - Method in class org.flag4j.algebraic_structures.RealFloat32: Gets the additive identity for this semiring.
getZero() - Method in class org.flag4j.algebraic_structures.RealFloat64: Gets the additive identity for this semiring.
getZero() - Method in class org.flag4j.algebraic_structures.RealInt16: Gets the additive identity for this semiring.
getZero() - Method in class org.flag4j.algebraic_structures.RealInt32: Gets the additive identity for this semiring.
getZero() - Method in interface org.flag4j.algebraic_structures.Semiring: Gets the additive identity for this semiring.
getZeroElement() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets the zero element for the semiring of this tensor.
getZeroElement() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Gets the zero element for the field of this tensor.
getZeroElement() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Gets the zero element for the field of this vector.
getZeroElement() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Gets the zero element for the semiring of this tensor.
getZeroElement() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Gets the zero element for the field of this tensor.
Givens - Class in org.flag4j.linalg.transformations: This class contains methods for computing real or complex Givens' rotation matrices.

H

H() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Computes the Hermitian transpose of this matrix.
H() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Computes the Hermitian transpose of this matrix.
H() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Computes the Hermitian transpose of this matrix.
H() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Computes the Hermitian transpose of this matrix.
H() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingMatrix: Computes the Hermitian transpose of this matrix.
H() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCsrRingMatrix: Computes the Hermitian transpose of this matrix.
H() - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Computes the conjugate transpose of a tensor by exchanging the first and last axes of this tensor and conjugating the exchanged values.
H() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Computes the Hermitian transpose of this matrix.
H() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Computes the Hermitian transpose of this matrix.
H() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Computes the Hermitian transpose of this matrix.
H() - Method in class org.flag4j.arrays.dense.Matrix: Computes the conjugate transpose of a tensor by exchanging the first and last axes of this tensor and conjugating the exchanged values.
H() - Method in class org.flag4j.arrays.SmartMatrix: Computes the conjugate transpose of this matrix.
H() - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the conjugate transpose of a tensor by exchanging the first and last axes of this tensor and conjugating the exchanged values.
H() - Method in class org.flag4j.arrays.sparse.CooVector: Computes the conjugate transpose of a tensor by exchanging the first and last axes of this tensor and conjugating the exchanged values.
H() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the conjugate transpose of a tensor by exchanging the first and last axes of this tensor and conjugating the exchanged values.
H(int...) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldTensor: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldVector: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldTensor: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingMatrix: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingTensor: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingVector: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCsrRingMatrix: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingMatrix: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingTensor: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingVector: Computes the conjugate transpose of this tensor.
H(int...) - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Computes the conjugate transpose of this tensor.
H(int...) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the conjugate transpose of this tensor.
H(int, int) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldTensor: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldVector: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingMatrix: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingTensor: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingVector: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCsrRingMatrix: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingMatrix: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingTensor: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingVector: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
H(int, int) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the conjugate transpose of a tensor by conjugating and exchanging axis1 and axis2.
hasEqualSpan(CMatrix, CMatrix) - Static method in class org.flag4j.linalg.SubSpace: Checks if two sets of vectors, stored as the columns of matrices, span the same space.
hasEqualSpan(Matrix, Matrix) - Static method in class org.flag4j.linalg.SubSpace: Checks if two sets of vectors, stored as the columns of matrices, span the same space.
hashCode() - Method in class org.flag4j.algebraic_structures.BoolSemiring
hashCode() - Method in class org.flag4j.algebraic_structures.Complex128: Generates the hashcode for this complex number.
hashCode() - Method in class org.flag4j.algebraic_structures.Complex64: Generates the hashcode for this complex number.
hashCode() - Method in class org.flag4j.algebraic_structures.RealFloat32
hashCode() - Method in class org.flag4j.algebraic_structures.RealFloat64
hashCode() - Method in class org.flag4j.algebraic_structures.RealInt16
hashCode() - Method in class org.flag4j.algebraic_structures.RealInt32
hashCode() - Method in class org.flag4j.arrays.dense.CMatrix
hashCode() - Method in class org.flag4j.arrays.dense.CTensor
hashCode() - Method in class org.flag4j.arrays.dense.CVector
hashCode() - Method in class org.flag4j.arrays.dense.FieldMatrix
hashCode() - Method in class org.flag4j.arrays.dense.FieldTensor
hashCode() - Method in class org.flag4j.arrays.dense.FieldVector
hashCode() - Method in class org.flag4j.arrays.dense.Matrix
hashCode() - Method in class org.flag4j.arrays.dense.RingMatrix
hashCode() - Method in class org.flag4j.arrays.dense.RingTensor
hashCode() - Method in class org.flag4j.arrays.dense.RingVector
hashCode() - Method in class org.flag4j.arrays.dense.SemiringMatrix
hashCode() - Method in class org.flag4j.arrays.dense.SemiringTensor
hashCode() - Method in class org.flag4j.arrays.dense.SemiringVector
hashCode() - Method in class org.flag4j.arrays.dense.Tensor
hashCode() - Method in class org.flag4j.arrays.dense.Vector
hashCode() - Method in record class org.flag4j.arrays.IntTuple: Returns a hash code value for this object.
hashCode() - Method in record class org.flag4j.arrays.Pair: Returns a hash code value for this object.
hashCode() - Method in class org.flag4j.arrays.Shape: Generates the hashcode for this shape object.
hashCode() - Method in class org.flag4j.arrays.SmartMatrix
hashCode() - Method in class org.flag4j.arrays.sparse.CooCMatrix
hashCode() - Method in class org.flag4j.arrays.sparse.CooCTensor
hashCode() - Method in class org.flag4j.arrays.sparse.CooCVector
hashCode() - Method in class org.flag4j.arrays.sparse.CooFieldMatrix
hashCode() - Method in class org.flag4j.arrays.sparse.CooFieldTensor
hashCode() - Method in class org.flag4j.arrays.sparse.CooFieldVector
hashCode() - Method in class org.flag4j.arrays.sparse.CooMatrix
hashCode() - Method in class org.flag4j.arrays.sparse.CooRingTensor
hashCode() - Method in class org.flag4j.arrays.sparse.CooRingVector
hashCode() - Method in class org.flag4j.arrays.sparse.CooSemiringTensor
hashCode() - Method in class org.flag4j.arrays.sparse.CooSemiringVector
hashCode() - Method in class org.flag4j.arrays.sparse.CooTensor
hashCode() - Method in class org.flag4j.arrays.sparse.CooVector
hashCode() - Method in class org.flag4j.arrays.sparse.CsrCMatrix
hashCode() - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix
hashCode() - Method in class org.flag4j.arrays.sparse.CsrMatrix
hashCode() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Returns a hashcode for this permutation matrix by calling Arrays.hashCode(permutation).
hashCode() - Method in class org.flag4j.arrays.sparse.SymmTriDiag: Creates a hash code for this symmetric tri-diagonal matrix.
hashCode() - Method in record class org.flag4j.arrays.SparseMatrixData: Returns a hash code value for this object.
hashCode() - Method in record class org.flag4j.arrays.SparseTensorData: Returns a hash code value for this object.
hashCode() - Method in record class org.flag4j.arrays.SparseVectorData: Returns a hash code value for this object.
hashCode() - Method in record class org.flag4j.arrays.Triple: Returns a hash code value for this object.
hashCode() - Method in record class org.flag4j.arrays.Tuple: Returns a hash code value for this object.
hashCode() - Method in record class org.flag4j.io.MatrixMarketHeader: Returns a hash code value for this object.
HermHess - Class in org.flag4j.linalg.decompositions.hess: Computes the Hessenburg decomposition of a complex dense Hermitian matrix.
HermHess() - Constructor for class org.flag4j.linalg.decompositions.hess.HermHess: Constructs a Hessenberg decomposer for Hermitian matrices.
HermHess(boolean) - Constructor for class org.flag4j.linalg.decompositions.hess.HermHess: Constructs a Hessenberg decomposer for Hermitian matrices.
HermHess(boolean, boolean) - Constructor for class org.flag4j.linalg.decompositions.hess.HermHess: Constructs a Hessenberg decomposer for Hermitian matrices.
hermLeftRightMultReflector(CMatrix, Complex128[], Complex128, int, Complex128[]) - Static method in class org.flag4j.linalg.transformations.Householder: Applies a Householder matrix H=I-invalid input: '&alpha'vv^H, represented by the vector v to a Hermitian matrix A on both the left and right side.
hermTranspose(T[], int[], int[], T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.csr.CsrOps: Computes herniation transpose of complex CSR matrix.
hess - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Decomposer to compute the Hessenburg decomposition as a setup step for the implicit double step QR algorithm.
Householder - Class in org.flag4j.linalg.transformations: This class contains methods for computing real or complex Householder reflectors (also known as elementary reflectors).
householderVector - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Stores the vector v in the Householder reflector P = I - invalid input: '&alpha' vv^T.
householderVector - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: For storing a HouseholderOld vectors.

I

I(int) - Static method in class org.flag4j.arrays.dense.CMatrix: Constructs an identity matrix of the specified size.
I(int) - Static method in class org.flag4j.arrays.dense.Matrix: Constructs an identity matrix of the specified size.
I(int, int) - Static method in class org.flag4j.arrays.dense.CMatrix: Constructs an identity-like matrix of the specified shape.
I(int, int) - Static method in class org.flag4j.arrays.dense.Matrix: Constructs an identity-like matrix of the specified shape.
I(int, int, T) - Static method in class org.flag4j.arrays.dense.FieldMatrix: Constructs an identity-like matrix of the specified shape.
I(int, int, T) - Static method in class org.flag4j.arrays.dense.RingMatrix: Constructs an identity-like matrix of the specified shape.
I(int, int, T) - Static method in class org.flag4j.arrays.dense.SemiringMatrix: Constructs an identity-like matrix of the specified shape.
I(int, T) - Static method in class org.flag4j.arrays.dense.FieldMatrix: Constructs an identity matrix of the specified size.
I(int, T) - Static method in class org.flag4j.arrays.dense.RingMatrix: Constructs an identity matrix of the specified size.
I(int, T) - Static method in class org.flag4j.arrays.dense.SemiringMatrix: Constructs an identity matrix of the specified size.
I(Shape) - Static method in class org.flag4j.arrays.dense.CMatrix: Constructs an identity-like matrix of the specified shape.
I(Shape) - Static method in class org.flag4j.arrays.dense.Matrix: Constructs an identity-like matrix of the specified shape.
I(Shape, T) - Static method in class org.flag4j.arrays.dense.FieldMatrix: Constructs an identity-like matrix of the specified shape.
I(Shape, T) - Static method in class org.flag4j.arrays.dense.RingMatrix: Constructs an identity-like matrix of the specified shape.
I(Shape, T) - Static method in class org.flag4j.arrays.dense.SemiringMatrix: Constructs an identity-like matrix of the specified shape.
iHigh - Variable in class org.flag4j.linalg.decompositions.balance.Balancer: Tracks the ending row/column index of the un-permuted submatrix to be balanced (exclusive).
iLow - Variable in class org.flag4j.linalg.decompositions.balance.Balancer: Tracks the starting row/column index of the un-permuted submatrix to be balanced (inclusive).
im - Variable in class org.flag4j.algebraic_structures.Complex128: Imaginary component of the complex number.
im - Variable in class org.flag4j.algebraic_structures.Complex64: Imaginary component of the complex number.
im() - Method in class org.flag4j.algebraic_structures.Complex128: Gets the imaginary component of this complex number.
im() - Method in class org.flag4j.algebraic_structures.Complex64: Gets the imaginary component of this complex number.
IMAGINARY_UNIT - Static variable in class org.flag4j.algebraic_structures.Complex128: The imaginary unit i.
IMAGINARY_UNIT - Static variable in class org.flag4j.algebraic_structures.Complex64: The imaginary unit i.
Implementations: - Search tag in interface org.flag4j.algebraic_structures.Field: Section
Implementations: - Search tag in interface org.flag4j.algebraic_structures.Ring: Section
Implementations: - Search tag in interface org.flag4j.algebraic_structures.Semiring: Section
indexOf(int[], int) - Static method in class org.flag4j.util.ArrayUtils: Finds the fist index of the specified key within an array.
indices - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: The non-zero indices of this sparse tensor.
indices - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Indices of the non-zero values of this sparse COO vector.
indices - Variable in class org.flag4j.arrays.sparse.CooTensor: The non-zero indices of this tensor.
indices - Variable in class org.flag4j.arrays.sparse.CooVector: The indices of the non-zero data in this sparse COO vector.
indices() - Method in record class org.flag4j.arrays.SparseTensorData: Returns the value of the indices record component.
indices() - Method in record class org.flag4j.arrays.SparseVectorData: Returns the value of the indices record component.
indicesToArray() - Method in record class org.flag4j.arrays.SparseTensorData: Converts the indices of this sparse tensor data to a 2D primitive integer array.
indicesToArray() - Method in record class org.flag4j.arrays.SparseVectorData: Converts the indices of this sparse vector data to a primitive integer array.
inducedNorm(CMatrix, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the matrix operator norm of a complex dense matrix "induced" by the vector p-norm.
inducedNorm(Matrix, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the matrix operator norm of a real dense matrix "induced" by the vector p-norm.
infNorm(AbstractDenseRingMatrix<?, ?, ?>) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the infinite norm of this matrix.
infNorm(Matrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the infinite norm of this matrix.
initLU(CMatrix) - Method in class org.flag4j.linalg.decompositions.lu.ComplexLU: Initializes the LU matrix by copying the source matrix to decompose.
initLU(FieldMatrix<T>) - Method in class org.flag4j.linalg.decompositions.lu.FieldLU: Initializes the LU matrix by copying the source matrix to decompose.
initLU(Matrix) - Method in class org.flag4j.linalg.decompositions.lu.RealLU: Initializes the LU matrix by copying the source matrix to decompose.
initLU(T) - Method in class org.flag4j.linalg.decompositions.lu.LU: Initializes the LU matrix by copying the source matrix to decompose.
initMatrix(CTensor, int) - Method in class org.flag4j.linalg.solvers.exact.ComplexExactTensorSolver: Initializes matrix for equivalent linear matrix equation.
initMatrix(Tensor, int) - Method in class org.flag4j.linalg.solvers.exact.RealExactTensorSolver: Initializes matrix for equivalent linear matrix equation.
initMatrix(T, int) - Method in class org.flag4j.linalg.solvers.exact.ExactTensorSolver: Initializes matrix for equivalent linear matrix equation.
initQ() - Method in class org.flag4j.linalg.decompositions.hess.ComplexHess: Creates and initializes Q to the appropriately sized identity matrix.
initQ() - Method in class org.flag4j.linalg.decompositions.hess.RealHess: Creates and initializes Q to the appropriately sized identity matrix.
initQ() - Method in class org.flag4j.linalg.decompositions.qr.ComplexQR: Creates and initializes Q to the appropriately sized identity matrix.
initQ() - Method in class org.flag4j.linalg.decompositions.qr.RealQR: Creates and initializes Q to the appropriately sized identity matrix.
initQ() - Method in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Creates and initializes Q to the appropriately sized identity matrix.
initUV(Shape, int) - Method in class org.flag4j.linalg.decompositions.svd.ComplexSVD: Initializes the unitary U and V matrices for the SVD.
initUV(Shape, int) - Method in class org.flag4j.linalg.decompositions.svd.RealSVD: Initializes the unitary U and V matrices for the SVD.
initUV(Shape, int) - Method in class org.flag4j.linalg.decompositions.svd.SVD: Initializes the unitary U and V matrices for the SVD.
initVector(CTensor) - Method in class org.flag4j.linalg.solvers.exact.ComplexExactTensorSolver: Initializes vector for equivalent linear matrix equation.
initVector(Tensor) - Method in class org.flag4j.linalg.solvers.exact.RealExactTensorSolver: Initializes vector for equivalent linear matrix equation.
initVector(T) - Method in class org.flag4j.linalg.solvers.exact.ExactTensorSolver: Initializes vector for equivalent linear matrix equation.
initWorkArrays(int) - Method in class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: Initialized any work arrays to be used in computing the decomposition with the proper size.
initWorkArrays(int) - Method in class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: Initialized any work arrays to be used in computing the decomposition with the proper size.
initWorkArrays(int) - Method in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Initialized any work arrays to be used in computing the decomposition with the proper size.
inner(double[], double[], int[], int) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseVectorOps: Computes the vector inner product between a real dense vector and a real sparse vector.
inner(double[], int[], int, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Computes the vector inner product between a complex dense vector and a real sparse vector.
inner(double[], T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseVectorOps: Computes the vector inner product for a real dense vector and a complex dense vector.
inner(double[], T[], int[], int) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Computes the vector inner product between a real dense vector and a complex sparse vector.
inner(AbstractCooRingVector<?, ?, ?, ?, T>, AbstractCooRingVector<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.coo.ring_ops.CooRingVectorOps: Computes the inner product of two complex sparse vectors.
inner(Vector) - Method in class org.flag4j.arrays.dense.Vector: Computes the inner product between two vectors.
inner(CooCVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseVectorOps: Computes the inner product of a real and complex sparse vector.
inner(CooVector) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the inner product between two vectors.
inner(CooVector, CooCVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseVectorOps: Computes the inner product of a real and complex sparse vector.
inner(CooVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooVectorOps: Computes the inner product of two real sparse vectors.
inner(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Computes the inner product between two vectors.
inner(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingVector: Computes the inner product between two vectors.
inner(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Computes the inner product between two vectors.
inner(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Computes the inner product between two vectors.
inner(T) - Method in interface org.flag4j.arrays.backend.VectorMixin: Computes the inner product between two vectors.
inner(T[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseVectorOps: Computes the vector inner product for a complex dense vector and a real dense vector.
inner(T[], double[], int[], int) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Computes the vector inner product between a complex dense vector and a real sparse vector.
innerProduct(double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseVectorOps: Computes the vector inner product for two real dense vectors.
innerProduct(T[], int[], int, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldVectorOps: Computes the vector inner product between a complex dense vector and a complex sparse vector.
innerProduct(T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldVectorOps: Computes the vector inner product for two vectors.
innerProduct(T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingVectorOps: Computes the vector inner product for two vectors.
innerProduct(T[], T[], int[], int) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldVectorOps: Computes the vector inner product between a complex dense vector and a complex sparse vector.
innerSelf() - Method in class org.flag4j.arrays.dense.CVector: Compute the inner product of this vector with itself.
innerSelfProduct(Complex128[]) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldVectorOps: Computes the inner product (dot product) of a vector with itself.
inPlace - Variable in class org.flag4j.linalg.decompositions.balance.Balancer: Flag indicating if the balancing should be done in-place or if a copy should be made.
insertNewValue(T[], int[], int[], T[], int[], int[], int, int, int, T) - Static method in class org.flag4j.linalg.ops.sparse.csr.CsrOps: Copies and inserts a new value into a sparse CSR matrix.
INTEGER - Enum constant in enum class org.flag4j.io.MatrixMarketHeader.MMField
Interface Methods: - Search tag in interface org.flag4j.algebraic_structures.Field: Section
Interface Methods: - Search tag in interface org.flag4j.algebraic_structures.Ring: Section
Interface Methods: - Search tag in interface org.flag4j.algebraic_structures.Semiring: Section
intRange(int, int) - Static method in class org.flag4j.util.ArrayBuilder: Gets an array filled with integers from start (inclusive) to end (exclusive)
intRange(int, int, int) - Static method in class org.flag4j.util.ArrayBuilder: Gets an array filled with integers from start (inclusive) to end (exclusive) where each int is repeated stride times.
IntTuple - Record Class in org.flag4j.arrays: Data record to store an ordered list of integers (i.e., an n-tuple).
IntTuple(int[]) - Constructor for record class org.flag4j.arrays.IntTuple: Creates an instance of a IntTuple record class.
inv() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Computes the inverse/transpose of this permutation matrix.
inv(AbstractDenseDoubleTensor<T>, int) - Static method in class org.flag4j.linalg.TensorInvert: Computes the 'inverse' of a tensor.
inv(CMatrix) - Static method in class org.flag4j.linalg.Invert: Computes the inverse of this matrix.
inv(CTensor, int) - Static method in class org.flag4j.linalg.TensorInvert: Deprecated.
inv(Matrix) - Static method in class org.flag4j.linalg.Invert: Computes the inverse of this matrix.
inv(Tensor, int) - Static method in class org.flag4j.linalg.TensorInvert: Deprecated.
INV_IMAGINARY_UNIT - Static variable in class org.flag4j.algebraic_structures.Complex128: The additive inverse of the imaginary unit, -i.
INV_IMAGINARY_UNIT - Static variable in class org.flag4j.algebraic_structures.Complex64: The additive inverse of the imaginary unit, -i.
invDiag(CMatrix) - Static method in class org.flag4j.linalg.Invert: Inverts a diagonal matrix.
invDiag(Matrix) - Static method in class org.flag4j.linalg.Invert: Inverts a diagonal matrix.
invDirectSum(CMatrix) - Method in class org.flag4j.linalg.decompositions.svd.ComplexSVD: Computes the inverse direct sum of a matrix and its Hermitian transpose.
invDirectSum(CMatrix, CMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(CMatrix, Matrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(CMatrix, CooCMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(CMatrix, CooMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(Matrix) - Method in class org.flag4j.linalg.decompositions.svd.RealSVD: Computes the inverse direct sum of a matrix and its Hermitian transpose.
invDirectSum(Matrix, CMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(Matrix, Matrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(Matrix, CooCMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(Matrix, CooMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(CooCMatrix, CMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(CooCMatrix, Matrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(CooCMatrix, CooCMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(CooCMatrix, CooMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(CooMatrix, CMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(CooMatrix, Matrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(CooMatrix, CooCMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(CooMatrix, CooMatrix) - Static method in class org.flag4j.linalg.DirectSum: Computes direct sum from bottom left to top right of two matrices.
invDirectSum(T) - Method in class org.flag4j.linalg.decompositions.svd.SVD: Computes the inverse direct sum of a matrix and its Hermitian transpose.
Invert - Class in org.flag4j.linalg: This class provides methods for computing the inverse of a matrix.
invHermPosDef(CMatrix) - Static method in class org.flag4j.linalg.Invert: Inverts a Hermitian positive definite matrix.
invHermPosDef(CMatrix, boolean) - Static method in class org.flag4j.linalg.Invert: Inverts a Hermitian positive definite matrix.
invSymPosDef(Matrix) - Static method in class org.flag4j.linalg.Invert: Inverts a symmetric positive definite matrix.
invSymPosDef(Matrix, boolean) - Static method in class org.flag4j.linalg.Invert: Inverts a symmetric positive definite matrix.
invTriL(CMatrix) - Static method in class org.flag4j.linalg.Invert: Inverts a lower triangular matrix.
invTriL(Matrix) - Static method in class org.flag4j.linalg.Invert: Inverts a lower triangular matrix.
invTriU(CMatrix) - Static method in class org.flag4j.linalg.Invert: Inverts an upper triangular matrix.
invTriU(Matrix) - Static method in class org.flag4j.linalg.Invert: Inverts an upper triangular matrix.
isAntiSymmetric() - Method in class org.flag4j.arrays.sparse.CooMatrix: Checks if a matrix is anti-symmetric.
isAntiSymmetric() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Checks if a matrix is anti-symmetric.
isAntiSymmetric(double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseProperties: Checks if a real dense matrix is anti-symmetric.
isAntiSymmetric(Shape, double[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixProperties: Checks if a sparse COO matrix is symmetric.
isAntiSymmetric(CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrProperties: Checks if the src matrix is anti-symmetric.
isCloseToI() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingMatrix: Checks if the matrix is "close" to an identity matrix.
isCloseToI() - Method in class org.flag4j.arrays.dense.Matrix: Checks that this matrix is close to the identity matrix.
isCloseToI() - Method in class org.flag4j.arrays.sparse.CooMatrix: Checks that this matrix is close to the identity matrix.
isCloseToI() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Checks that this matrix is close to the identity matrix.
isCloseToIdentity() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingMatrix: Checks if the matrix is "close" to an identity matrix.
isCloseToIdentity(AbstractCooRingMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.coo.ring_ops.CooRingMatrixOps: Checks if a real sparse matrix is close to the identity matrix.
isCloseToIdentity(AbstractCsrRingMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.csr.ring_ops.CsrRingProperties: Checks if the src matrix is close to the identity matrix.
isCloseToIdentity(Matrix) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseProperties: Checks if a matrix is the identity matrix approximately.
isCloseToIdentity(Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingTensorOps: Checks if a matrix is the identity matrix approximately.
isCloseToIdentity(CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixProperties: Checks if a real sparse matrix is close to the identity matrix.
isCloseToIdentity(CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrProperties: Checks if the src matrix is close to the identity matrix.
isComplex() - Method in class org.flag4j.algebraic_structures.Complex128: Checks if this complex number has non-zero imaginary part.
isComplex() - Method in class org.flag4j.algebraic_structures.Complex64: Checks if this complex number has non-zero imaginary part.
isComplex() - Method in class org.flag4j.arrays.dense.CMatrix: Checks if any entry within this matrix has non-zero imaginary component.
isComplex() - Method in class org.flag4j.arrays.dense.CTensor: Checks if any entry within this tensor has non-zero imaginary component.
isComplex() - Method in class org.flag4j.arrays.dense.CVector: Checks if any entry within this vector has non-zero imaginary component.
isComplex() - Method in class org.flag4j.arrays.sparse.CooCMatrix: Checks if any entry within this matrix has non-zero imaginary component.
isComplex() - Method in class org.flag4j.arrays.sparse.CooCTensor: Checks if any entry within this matrix has non-zero imaginary component.
isComplex() - Method in class org.flag4j.arrays.sparse.CooCVector: Checks if any entry within this matrix has non-zero imaginary component.
isComplex() - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Checks if any entry within this matrix has non-zero imaginary component.
isComplex(Complex128[]) - Static method in class org.flag4j.linalg.ops.common.complex.Complex128Ops: Checks whether a tensor contains at least one non-real value.
isComplex(Complex64[]) - Static method in class org.flag4j.linalg.ops.common.complex.Complex64Ops: Checks whether a tensor contains at least one non-real value.
isDiag() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Checks if this matrix is diagonal.
isDigit(int) - Method in class org.flag4j.io.parsing.Lexer
isDouble() - Method in class org.flag4j.algebraic_structures.Complex128: Checks if this complex number is a real valued double.
isFinite() - Method in class org.flag4j.algebraic_structures.Complex128: Checks if this field element is finite in magnitude.
isFinite() - Method in class org.flag4j.algebraic_structures.Complex64: Checks if this field element is finite in magnitude.
isFinite() - Method in interface org.flag4j.algebraic_structures.Field: Checks if this field element is finite in magnitude.
isFinite() - Method in class org.flag4j.algebraic_structures.RealFloat32: Checks if this field element is finite in magnitude.
isFinite() - Method in class org.flag4j.algebraic_structures.RealFloat64: Checks if this field element is finite in magnitude.
isFinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Checks if this tensor only contains finite values.
isFinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldTensor: Checks if this tensor only contains finite values.
isFinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldVector: Checks if this tensor only contains finite values.
isFinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Checks if this tensor only contains finite values.
isFinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Checks if this tensor only contains finite values.
isFinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldTensor: Checks if this tensor only contains finite values.
isFinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Checks if this tensor only contains finite values.
isFinite() - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Checks if this tensor only contains finite values.
isFinite() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Checks if this tensor only contains finite values.
isFinite(double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Checks if all elements of a tensor are finite.
isFinite(V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Checks if all elements of a tensor are finite.
isFloat() - Method in class org.flag4j.algebraic_structures.Complex64: Checks if this complex number is a real valued float.
isHermitian() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Checks if a matrix is Hermitian.
isHermitian() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Checks if a matrix is Hermitian.
isHermitian() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingMatrix: Checks if a matrix is Hermitian.
isHermitian() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Checks if a matrix is Hermitian.
isHermitian() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Checks if a matrix is Hermitian.
isHermitian() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Checks if a matrix is Hermitian.
isHermitian() - Method in class org.flag4j.arrays.dense.Matrix: Checks if a matrix is Hermitian.
isHermitian() - Method in class org.flag4j.arrays.sparse.CooCMatrix: Checks if a matrix is Hermitian.
isHermitian() - Method in class org.flag4j.arrays.sparse.CooMatrix: Checks if a matrix is Hermitian.
isHermitian() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Checks if a matrix is Hermitian.
isHermitian(Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingTensorOps: Checks if a complex dense matrix is Hermitian.
isHermitian(Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.ring_ops.CooRingMatrixOps: Checks if a sparse COO Ring matrix is Hermitian.
isHermitian(Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.csr.ring_ops.CsrRingProperties: Checks if a sparse CSR matrix is Hermitian.
isHermPosDef(CMatrix) - Static method in class org.flag4j.linalg.PositiveDefiniteness: Checks if the matrix is symmetric positive definite.
isHermPosDef(Matrix) - Static method in class org.flag4j.linalg.PositiveDefiniteness: Checks if the matrix is symmetric positive definite.
isI() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Checks if this matrix is the identity matrix.
isI() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Checks if this matrix is the identity matrix.
isI() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Checks if this matrix is the identity matrix.
isI() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Checks if this matrix is the identity matrix.
isI() - Method in class org.flag4j.arrays.dense.Matrix: Checks if this matrix is the identity matrix.
isI() - Method in class org.flag4j.arrays.sparse.CooMatrix: Checks if this matrix is the identity matrix.
isI() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Checks if this matrix is the identity matrix.
isIdentity(AbstractCooSemiringMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringMatrixOps: Checks if a complex sparse matrix is the identity matrix.
isIdentity(AbstractCsrSemiringMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.csr.semiring_ops.SemiringCsrProperties: Checks if the src matrix is the identity matrix.
isIdentity(Matrix) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseProperties: Checks if a matrix is the identity matrix exactly.
isIdentity(Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringMatrixProperties: Checks if a complex sparse COO matrix is the identity matrix.
isIdentity(Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.csr.semiring_ops.SemiringCsrProperties: Checks if the src matrix is the identity matrix.
isIdentity(CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixProperties: Checks if a real sparse matrix is the identity matrix.
isIdentity(CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrProperties: Checks if the src matrix is the identity matrix.
isImaginary() - Method in class org.flag4j.algebraic_structures.Complex128: Checks if this complex number has zero real part.
isImaginary() - Method in class org.flag4j.algebraic_structures.Complex64: Checks if this complex number has zero real part.
isInfinite() - Method in class org.flag4j.algebraic_structures.Complex128: Checks if this field element is infinite in magnitude.
isInfinite() - Method in class org.flag4j.algebraic_structures.Complex64: Checks if this field element is infinite in magnitude.
isInfinite() - Method in interface org.flag4j.algebraic_structures.Field: Checks if this field element is infinite in magnitude.
isInfinite() - Method in class org.flag4j.algebraic_structures.RealFloat32: Checks if this field element is infinite in magnitude.
isInfinite() - Method in class org.flag4j.algebraic_structures.RealFloat64: Checks if this field element is infinite in magnitude.
isInfinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Checks if this tensor contains at least one infinite value.
isInfinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldTensor: Checks if this tensor contains at least one infinite value.
isInfinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldVector: Checks if this tensor contains at least one infinite value.
isInfinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Checks if this tensor contains at least one infinite value.
isInfinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Checks if this tensor contains at least one infinite value.
isInfinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldTensor: Checks if this tensor contains at least one infinite value.
isInfinite() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Checks if this tensor contains at least one infinite value.
isInfinite() - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Checks if this tensor contains at least one infinite value.
isInfinite() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Checks if this tensor contains at least one infinite value.
isInfinite(double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Checks if any of the elements of a tensor is infinite.
isInfinite(V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Checks if any element of a tensor is infinite.
isInt() - Method in class org.flag4j.algebraic_structures.Complex128: Checks if this complex number is a real valued integer.
isInt() - Method in class org.flag4j.algebraic_structures.Complex64: Checks if this complex number is a real valued integer.
isInv(CMatrix, CMatrix) - Static method in class org.flag4j.linalg.Invert: Checks if matrices are inverses of each other.
isInv(Matrix, Matrix) - Static method in class org.flag4j.linalg.Invert: Checks if matrices are inverses of each other.
isNaN() - Method in class org.flag4j.algebraic_structures.Complex128: Checks if this field element is NaN in magnitude.
isNaN() - Method in class org.flag4j.algebraic_structures.Complex64: Checks if this field element is NaN in magnitude.
isNaN() - Method in interface org.flag4j.algebraic_structures.Field: Checks if this field element is NaN in magnitude.
isNaN() - Method in class org.flag4j.algebraic_structures.RealFloat32: Checks if this field element is NaN in magnitude.
isNaN() - Method in class org.flag4j.algebraic_structures.RealFloat64: Checks if this field element is NaN in magnitude.
isNaN() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Checks if this tensor contains at least one NaN value.
isNaN() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldTensor: Checks if this tensor contains at least one NaN value.
isNaN() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldVector: Checks if this tensor contains at least one NaN value.
isNaN() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Checks if this tensor contains at least one NaN value.
isNaN() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Checks if this tensor contains at least one NaN value.
isNaN() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldTensor: Checks if this tensor contains at least one NaN value.
isNaN() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Checks if this tensor contains at least one NaN value.
isNaN() - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Checks if this tensor contains at least one NaN value.
isNaN() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Checks if this tensor contains at least one NaN value.
isNaN(double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Checks if any of the elements of a tensor contain a Double.NaN.
isNaN(V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Checks if any element of a tensor is NaN.
isNeg() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Checks if this tensor only contains negative values.
isNeg(double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Checks if a tensor only contain negative values.
isOne() - Method in class org.flag4j.algebraic_structures.BoolSemiring: Checks if this value is a multiplicative identity for this semiring.
isOne() - Method in class org.flag4j.algebraic_structures.Complex128: Checks if this value is a multiplicative identity for this semiring.
isOne() - Method in class org.flag4j.algebraic_structures.Complex64: Checks if this value is a multiplicative identity for this semiring.
isOne() - Method in class org.flag4j.algebraic_structures.RealFloat32: Checks if this value is a multiplicative identity for this semiring.
isOne() - Method in class org.flag4j.algebraic_structures.RealFloat64: Checks if this value is a multiplicative identity for this semiring.
isOne() - Method in class org.flag4j.algebraic_structures.RealInt16: Checks if this value is a multiplicative identity for this semiring.
isOne() - Method in class org.flag4j.algebraic_structures.RealInt32: Checks if this value is a multiplicative identity for this semiring.
isOne() - Method in interface org.flag4j.algebraic_structures.Semiring: Checks if this value is a multiplicative identity for this semiring.
isOnes() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Checks if this tensor only contains ones.
isOnes() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Checks if this tensor only contains ones.
isOnes() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Checks if this tensor only contains ones.
isOnes() - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Checks if this tensor only contains ones.
isOnes() - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Checks if this tensor only contains ones.
isOnes(double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Checks if this tensor only contains ones.
isOnes(T[]) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.SemiringProperties: Checks if an array contains only ones.
isOrthogonal() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Checks if this matrix is orthogonal.
isOrthogonal() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Checks if this matrix is orthogonal.
isOrthogonal() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Checks if this matrix is orthogonal.
isOrthogonal() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Checks if this matrix is orthogonal.
isOrthogonal() - Method in class org.flag4j.arrays.dense.Matrix: Checks if this matrix is orthogonal.
isOrthogonal() - Method in class org.flag4j.arrays.sparse.CooMatrix: Checks if this matrix is orthogonal.
isOrthogonal() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Checks if this matrix is orthogonal.
isParallel(Vector) - Method in class org.flag4j.arrays.dense.Vector: Checks if a vector is parallel to this vector.
isParallel(CooVector) - Method in class org.flag4j.arrays.sparse.CooVector: Checks if a vector is parallel to this vector.
isPerp(Vector) - Method in class org.flag4j.arrays.dense.Vector: Checks if a vector is perpendicular to this vector.
isPerp(CooVector) - Method in class org.flag4j.arrays.sparse.CooVector: Checks if a vector is perpendicular to this vector.
isPos() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Checks if this tensor only contains positive values.
isPos(double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Checks if a tensor only contain positive values.
isPosDef(CMatrix) - Static method in class org.flag4j.linalg.PositiveDefiniteness: Checks if the matrix is positive definite.
isPosDef(Matrix) - Static method in class org.flag4j.linalg.PositiveDefiniteness: Checks if the matrix is positive definite.
isPosSemiDef(CMatrix) - Static method in class org.flag4j.linalg.PositiveDefiniteness: Checks if the matrix is positive semi-definite.
isPosSemiDef(Matrix) - Static method in class org.flag4j.linalg.PositiveDefiniteness: Checks if the matrix is positive semi-definite.
isReal() - Method in class org.flag4j.algebraic_structures.Complex128: Checks if this complex number has zero imaginary part.
isReal() - Method in class org.flag4j.algebraic_structures.Complex64: Checks if this complex number has zero imaginary part.
isReal() - Method in class org.flag4j.arrays.dense.CMatrix: Checks if all data of this matrix are real.
isReal() - Method in class org.flag4j.arrays.dense.CTensor: Checks if all data of this tensor are real.
isReal() - Method in class org.flag4j.arrays.dense.CVector: Checks if all data of this vector are real.
isReal() - Method in class org.flag4j.arrays.sparse.CooCMatrix: Checks if all data of this matrix are real.
isReal() - Method in class org.flag4j.arrays.sparse.CooCTensor: Checks if all data of this matrix are real.
isReal() - Method in class org.flag4j.arrays.sparse.CooCVector: Checks if all data of this matrix are real.
isReal() - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Checks if all data of this matrix are real.
isReal(Complex128[]) - Static method in class org.flag4j.linalg.ops.common.complex.Complex128Ops: Checks whether a tensor contains only real values.
isReal(Complex64[]) - Static method in class org.flag4j.linalg.ops.common.complex.Complex64Ops: Checks whether a tensor contains only real values.
isSquare() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Checks if this matrix is square.
isSymmetric() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Checks if a matrix is symmetric.
isSymmetric() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Checks if a matrix is symmetric.
isSymmetric() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Checks if a matrix is symmetric.
isSymmetric() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Checks if a matrix is symmetric.
isSymmetric() - Method in class org.flag4j.arrays.dense.Matrix: Checks if a matrix is symmetric.
isSymmetric() - Method in class org.flag4j.arrays.sparse.CooMatrix: Checks if a matrix is symmetric.
isSymmetric() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Checks if a matrix is symmetric.
isSymmetric(double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseProperties: Checks if a real dense matrix is symmetric.
isSymmetric(Shape, double[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixProperties: Checks if a sparse COO matrix is symmetric.
isSymmetric(Shape, T[], int[], int[], T) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooProperties: Checks if a sparse COO matrix is symmetric.
isSymmetric(Shape, T[], int[], int[], T) - Static method in class org.flag4j.linalg.ops.sparse.csr.CsrProperties: Checks if a sparse CSR matrix is symmetric.
isSymmetric(CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrProperties: Checks if the src matrix is symmetric.
isTri() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Checks if this matrix is triangular (i.e. upper triangular, diagonal, lower triangular).
isTriL() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Checks if this matrix is lower triangular.
isTriL() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Checks if this matrix is lower triangular.
isTriL() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Checks if this matrix is lower triangular.
isTriL() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Checks if this matrix is lower triangular.
isTriL() - Method in class org.flag4j.arrays.dense.Matrix: Checks if this matrix is lower triangular.
isTriL() - Method in class org.flag4j.arrays.sparse.CooMatrix: Checks if this matrix is lower triangular.
isTriL() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Checks if this matrix is lower triangular.
isTriL(Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.csr.semiring_ops.SemiringCsrProperties: Checks if a sparse CSR matrix is lower-triangular.
isTriU() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Checks if this matrix is upper triangular.
isTriU() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Checks if this matrix is upper triangular.
isTriU() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Checks if this matrix is upper triangular.
isTriU() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Checks if this matrix is upper triangular.
isTriU() - Method in class org.flag4j.arrays.dense.Matrix: Checks if this matrix is upper triangular.
isTriU() - Method in class org.flag4j.arrays.sparse.CooMatrix: Checks if this matrix is upper triangular.
isTriU() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Checks if this matrix is upper triangular.
isTriU(Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.csr.semiring_ops.SemiringCsrProperties: Checks if a sparse CSR matrix is upper-triangular.
isUnit - Variable in class org.flag4j.linalg.solvers.exact.triangular.ForwardSolver: Flag indicating if lower-triangular matrices passed to this solver will be unit lower-triangular (true) or simply lower-triangular (false).
isUnitary() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Checks if this matrix is orthogonal.
isUnitary() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Checks if this matrix is unitary.
isUnitary() - Method in class org.flag4j.arrays.dense.CMatrix: Checks if this matrix is unitary.
isVector() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Checks if a matrix can be represented as a vector.
isZero() - Method in class org.flag4j.algebraic_structures.BoolSemiring: Checks if this value is an additive identity for this semiring.
isZero() - Method in class org.flag4j.algebraic_structures.Complex128: Checks if this value is an additive identity for this semiring.
isZero() - Method in class org.flag4j.algebraic_structures.Complex64: Checks if this value is an additive identity for this semiring.
isZero() - Method in class org.flag4j.algebraic_structures.RealFloat32: Checks if this value is an additive identity for this semiring.
isZero() - Method in class org.flag4j.algebraic_structures.RealFloat64: Checks if this value is an additive identity for this semiring.
isZero() - Method in class org.flag4j.algebraic_structures.RealInt16: Checks if this value is an additive identity for this semiring.
isZero() - Method in class org.flag4j.algebraic_structures.RealInt32: Checks if this value is an additive identity for this semiring.
isZero() - Method in interface org.flag4j.algebraic_structures.Semiring: Checks if this value is an additive identity for this semiring.
isZero(int) - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Checks if a value within Balancer.balancedMatrix is zero.
isZero(int) - Method in class org.flag4j.linalg.decompositions.balance.ComplexBalancer: Checks if a value within Balancer.balancedMatrix is zero.
isZero(int) - Method in class org.flag4j.linalg.decompositions.balance.RealBalancer: Checks if a value within Balancer.balancedMatrix is zero.
isZeros() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Checks if this tensor only contains zeros.
isZeros() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Checks if this tensor only contains zeros.
isZeros() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Checks if this tensor only contains zeros.
isZeros() - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Checks if this tensor only contains zeros.
isZeros() - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Checks if this tensor only contains zeros.
isZeros(double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Checks if an array contains only zeros.
isZeros(T[]) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.SemiringProperties: Checks if an array contains only zeros.

J

join(double[], double[]) - Static method in class org.flag4j.util.ArrayJoiner: Joins two arrays together.
join(int[], int[]) - Static method in class org.flag4j.util.ArrayJoiner: Joins two arrays together.
join(Vector) - Method in class org.flag4j.arrays.dense.Vector: Joints specified vector with this vector.
join(CooVector) - Method in class org.flag4j.arrays.sparse.CooVector: Joints specified vector with this vector.
join(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Joints specified vector with this vector.
join(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Joints specified vector with this vector.
join(T) - Method in interface org.flag4j.arrays.backend.VectorMixin: Joints specified vector with this vector.
join(T[], int[], int, T[], int[], T[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooConcat: Joins two sparse COO vectors into one vector.

K

Key Features: - Search tag in class org.flag4j.arrays.dense.FieldTensor: Section
Key Features: - Search tag in class org.flag4j.arrays.dense.RingMatrix: Section
Key Features: - Search tag in class org.flag4j.arrays.dense.RingTensor: Section
Key Features: - Search tag in class org.flag4j.arrays.dense.SemiringMatrix: Section
Key Features: - Search tag in class org.flag4j.arrays.dense.SemiringTensor: Section
Key Features: - Search tag in class org.flag4j.util.ArrayUtils: Section

L

L - Variable in class org.flag4j.linalg.decompositions.chol.Cholesky: The lower triangular matrix, L, resulting from the Cholesky decomposition A=LL^H.
leftMult(CMatrix) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Left multiplies this permutation matrix to the specified matrix.
leftMult(CVector) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Left multiplies this permutation matrix to the specified vector.
leftMult(Matrix) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Left multiplies this permutation matrix to the specified matrix.
leftMult(Vector) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Left multiplies this permutation matrix to the specified vector.
leftMult2x2Rotator(CMatrix, CMatrix, int, Complex128[]) - Static method in class org.flag4j.linalg.transformations.Givens: Left multiplies a 2x2 Givens rotator to a matrix at the specified row.
leftMult2x2Rotator(Matrix, Matrix, int, double[]) - Static method in class org.flag4j.linalg.transformations.Givens: Left multiplies a 2x2 Givens rotator to a matrix at the specified row.
leftMultReflector(CMatrix, Complex128[], Complex128, int, int, int, Complex128[]) - Static method in class org.flag4j.linalg.transformations.Householder: Left multiplies a Householder matrix H=I-invalid input: '&alpha'vv^H, represented by the vector v, to another matrix A.
leftMultReflector(CMatrix, CVector, Complex128, int, int, int) - Static method in class org.flag4j.linalg.transformations.Householder: Left multiplies a Householder matrix H=I-invalid input: '&alpha'vv^H, represented by the vector v, to another matrix A.
leftMultReflector(Matrix, double[], double, int, int, int, double[]) - Static method in class org.flag4j.linalg.transformations.Householder: Left multiplies a Householder matrix H=I-invalid input: '&alpha'vv^T, represented by the vector v, to another matrix A.
leftMultReflector(Matrix, Vector, double, int, int, int) - Static method in class org.flag4j.linalg.transformations.Householder: Left multiplies a Householder matrix H=I-invalid input: '&alpha'vv^T, represented by the vector v, to another matrix A.
length() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Gets the length of a vector.
length() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Gets the length of a vector.
length() - Method in interface org.flag4j.arrays.backend.VectorMixin: Gets the length of a vector.
length() - Method in class org.flag4j.arrays.dense.Vector: Gets the length of a vector.
length() - Method in class org.flag4j.arrays.sparse.CooVector: Gets the length of a vector.
length(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Gets the length of the string representation of this complex number.
length(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Gets the length of the string representation of this complex number.
Lexer - Class in org.flag4j.io.parsing
Lexer(String) - Constructor for class org.flag4j.io.parsing.Lexer
LinearAlgebraException - Exception Class in org.flag4j.util.exceptions: An exception which is thrown when a linear algebra related error occurs at runtime.
LinearAlgebraException(String) - Constructor for exception class org.flag4j.util.exceptions.LinearAlgebraException: Creates a LinearAlgebraException to be thrown for a linear algebra related error.
LinearMatrixSolver<T,U> - Interface in org.flag4j.linalg.solvers: Interface representing a solver for linear systems involving matrices and vectors.
LinearSolver<T> - Interface in org.flag4j.linalg.solvers: Interface representing a linear system solver for tensor equations.
ln(double) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the natural logarithm of a double.
ln(float) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the natural logarithm of a float.
ln(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the complex natural logarithm of a complex number.
ln(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the complex natural logarithm of a complex number.
log(double) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the complex logarithm base 10 of a complex number.
log(double, double) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the complex logarithm, with specified base, of a complex number.
log(double, Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the complex logarithm, with specified base, of a complex number.
log(float) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the complex logarithm base 10 of a complex number.
log(float, float) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the complex logarithm, with specified base, of a complex number.
log(float, Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the complex logarithm, with specified base, of a complex number.
log(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the complex logarithm base 10 of a complex number.
log(Complex128, Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the complex logarithm, with specified base, of a complex number.
log(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the complex logarithm base 10 of a complex number.
log(Complex64, Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the complex logarithm, with specified base, of a complex number.
lookAt(Vector, Vector, Vector) - Static method in class org.flag4j.linalg.transformations.View: Constructs a view matrix for a camera at world position cameraPos, looking at the point center where up is the direction of the upwards vector in world coordinates.
LstsqSolver<T,U> - Class in org.flag4j.linalg.solvers.lstsq: This class solves a linear system of equations Ax=b in a least-squares sense.
LstsqSolver(UnitaryDecomposition<T, ?>, LinearMatrixSolver<T, U>) - Constructor for class org.flag4j.linalg.solvers.lstsq.LstsqSolver: Constructs a least-squares solver with a specified decomposer to use in the QR decomposition.
lu - Variable in class org.flag4j.linalg.solvers.exact.ExactSolver: Decomposer to compute LU decomposition.
LU<T> - Class in org.flag4j.linalg.decompositions.lu: This abstract class specifies methods for computing the LU decomposition of a matrix.
LU - Variable in class org.flag4j.linalg.decompositions.lu.LU: Storage for L and U matrices.
LU - Variable in class org.flag4j.linalg.solvers.exact.ExactSolver: The unit-lower and upper triangular matrices from the LU decomposition stored in a single matrix.
LU(LU.Pivoting) - Constructor for class org.flag4j.linalg.decompositions.lu.LU: Constructs a LU decomposer to decompose the specified matrix.
LU(LU.Pivoting, double) - Constructor for class org.flag4j.linalg.decompositions.lu.LU: Constructs a LU decomposer to decompose the specified matrix.
LU.Pivoting - Enum Class in org.flag4j.linalg.decompositions.lu: Simple enum containing pivoting options for pivoting in LU decomposition.

M

mag() - Method in class org.flag4j.algebraic_structures.Complex128: Computes the magnitude of this field element.
mag() - Method in class org.flag4j.algebraic_structures.Complex64: Computes the magnitude of this field element.
mag() - Method in class org.flag4j.algebraic_structures.RealFloat32: Computes the magnitude of this field element.
mag() - Method in class org.flag4j.algebraic_structures.RealFloat64: Computes the magnitude of this field element.
mag() - Method in class org.flag4j.algebraic_structures.RealInt16: Computes the magnitude of this ring element.
mag() - Method in class org.flag4j.algebraic_structures.RealInt32: Computes the magnitude of this ring element.
mag() - Method in interface org.flag4j.algebraic_structures.Ring: Computes the magnitude of this ring element.
mag() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldVector: Computes the magnitude of this vector.
mag() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Computes the magnitude of this vector.
mag() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Computes the magnitude of this vector.
mag() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Computes the magnitude of this vector.
mag() - Method in interface org.flag4j.arrays.backend.VectorMixin: Computes the magnitude of this vector.
mag() - Method in class org.flag4j.arrays.dense.CVector: Computes the magnitude of this vector.
mag() - Method in class org.flag4j.arrays.dense.Vector: Computes the magnitude of this vector.
mag() - Method in class org.flag4j.arrays.sparse.CooCVector: Computes the magnitude of this vector.
mag() - Method in class org.flag4j.arrays.sparse.CooVector: Computes the magnitude of this vector.
magAsDouble() - Method in class org.flag4j.arrays.dense.CVector: Computes the magnitude of this vector as a double value.
magAsDouble() - Method in class org.flag4j.arrays.sparse.CooCVector: Computes the magnitude of this vector as a double value.
magSquared() - Method in class org.flag4j.algebraic_structures.Complex128: Squares this magnitude of this complex number.
magSquared() - Method in class org.flag4j.algebraic_structures.Complex64: Squares this magnitude of this complex number.
main(String[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils
makeDenseTensor(Shape, double[]) - Method in class org.flag4j.arrays.sparse.CooTensor: Makes a dense tensor with the specified shape and data which is a similar type to this sparse tensor.
makeEigenPairs(CMatrix, double[]) - Method in class org.flag4j.linalg.decompositions.svd.ComplexSVD: Gets the eigen values and vectors of symmetric the block matrix which corresponds to the singular values and vectors of the matrix being decomposed.
makeEigenPairs(Matrix, double[]) - Method in class org.flag4j.linalg.decompositions.svd.RealSVD: Gets the eigen values and vectors of symmetric the block matrix which corresponds to the singular values and vectors of the matrix being decomposed.
makeEigenPairs(T, double[]) - Method in class org.flag4j.linalg.decompositions.svd.SVD: Gets the eigen values and vectors of symmetric block matrix which corresponds to the singular values and vectors of the matrix being decomposed.
makeEigenVals(CMatrix, double[]) - Method in class org.flag4j.linalg.decompositions.svd.ComplexSVD: Gets the eigen values of the symmetric block matrix which corresponds to the singular values of the matrix being decomposed.
makeEigenVals(Matrix, double[]) - Method in class org.flag4j.linalg.decompositions.svd.RealSVD: Gets the eigen values of the symmetric block matrix which corresponds to the singular values of the matrix being decomposed.
makeEigenVals(T, double[]) - Method in class org.flag4j.linalg.decompositions.svd.SVD: Gets the eigen values of the symmetric block matrix which corresponds to the singular values of the matrix being decomposed.
makeEmptyDataArray(int) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Creates an empty array of the same type as the data array of this tensor.
makeEmptyDataArray(int) - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Creates an empty array of the same type as the data array of this tensor.
makeEmptyDataArray(int) - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Creates an empty array of the same type as the data array of this tensor.
makeEmptyDataArray(int) - Method in class org.flag4j.arrays.dense.CMatrix
makeEmptyDataArray(int) - Method in class org.flag4j.arrays.dense.CTensor
makeEmptyDataArray(int) - Method in class org.flag4j.arrays.dense.CVector
makeEmptyDataArray(int) - Method in class org.flag4j.arrays.sparse.CooCMatrix
makeEmptyDataArray(int) - Method in class org.flag4j.arrays.sparse.CooCTensor
makeEmptyDataArray(int) - Method in class org.flag4j.arrays.sparse.CooCVector
makeEmptyDataArray(int) - Method in class org.flag4j.arrays.sparse.CsrCMatrix
makeLikeCooMatrix(Shape, Complex128[], int[], int[]) - Method in class org.flag4j.arrays.dense.CMatrix: Constructs a sparse COO matrix which is of a similar type as this dense matrix.
makeLikeCooMatrix(Shape, Complex128[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Constructs a sparse COO matrix of a similar type to this sparse CSR matrix.
makeLikeCooMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.dense.FieldMatrix: Constructs a sparse COO matrix of similar type to this dense matrix.
makeLikeCooMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.dense.RingMatrix: Constructs a sparse COO matrix which is of a similar type as this dense matrix.
makeLikeCooMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Constructs a sparse COO matrix which is of a similar type as this dense matrix.
makeLikeCooMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Constructs a sparse COO matrix of a similar type to this sparse CSR matrix.
makeLikeCooMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Constructs a sparse COO matrix of a similar type to this sparse CSR matrix.
makeLikeCooMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Constructs a sparse COO matrix of a similar type to this sparse CSR matrix.
makeLikeCooMatrix(Shape, V[], int[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Constructs a sparse COO matrix which is of a similar type as this dense matrix.
makeLikeCooMatrix(Shape, W[], int[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Constructs a sparse COO matrix of a similar type to this sparse CSR matrix.
makeLikeCooTensor(Shape, Complex128[], int[][]) - Method in class org.flag4j.arrays.dense.CMatrix: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, Complex128[], int[][]) - Method in class org.flag4j.arrays.dense.CTensor: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, Complex128[], int[][]) - Method in class org.flag4j.arrays.dense.CVector: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.dense.FieldMatrix: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.dense.FieldTensor: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.dense.FieldVector: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.dense.RingMatrix: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.dense.RingTensor: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.dense.RingVector: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.dense.SemiringTensor: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.dense.SemiringVector: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCooTensor(Shape, V[], int[][]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Constructs a sparse COO tensor which is of a similar type as this dense tensor.
makeLikeCsrMatrix(Shape, Complex128[], int[], int[]) - Method in class org.flag4j.arrays.dense.CMatrix: Constructs a sparse CSR matrix which is of a similar type as this dense matrix.
makeLikeCsrMatrix(Shape, Complex128[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Constructs a sparse CSR matrix of a similar type to this sparse COO matrix.
makeLikeCsrMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.dense.FieldMatrix: Constructs a sparse CSR matrix of similar type to this dense matrix.
makeLikeCsrMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.dense.RingMatrix: Constructs a sparse CSR matrix which is of a similar type as this dense matrix.
makeLikeCsrMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Constructs a sparse CSR matrix which is of a similar type as this dense matrix.
makeLikeCsrMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Constructs a sparse CSR matrix of a similar type to this sparse COO matrix.
makeLikeCsrMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Constructs a sparse CSR matrix of a similar type to this sparse COO matrix.
makeLikeCsrMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Constructs a sparse CSR matrix of a similar type to this sparse COO matrix.
makeLikeCsrMatrix(Shape, V[], int[], int[]) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Constructs a sparse CSR matrix which is of a similar type as this dense matrix.
makeLikeCsrMatrix(Shape, V[], int[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Constructs a sparse CSR matrix which is of a similar type as this dense matrix.
makeLikeCsrMatrix(Shape, W[], int[], int[]) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Constructs a sparse CSR matrix of a similar type to this sparse COO matrix.
makeLikeCsrMatrix(Shape, W[], int[], int[]) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingMatrix: Constructs a sparse CSR matrix of a similar type to this sparse COO matrix.
makeLikeCsrMatrix(Shape, W[], int[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Constructs a sparse CSR matrix of a similar type to this sparse COO matrix.
makeLikeDenseMatrix(Shape, Complex128...) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a dense matrix of a similar type as this vector with the specified shape and data.
makeLikeDenseMatrix(Shape, T...) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a dense matrix of a similar type as this vector with the specified shape and data.
makeLikeDenseMatrix(Shape, T...) - Method in class org.flag4j.arrays.sparse.CooRingVector: Constructs a dense matrix of a similar type as this vector with the specified shape and data.
makeLikeDenseMatrix(Shape, T...) - Method in class org.flag4j.arrays.sparse.CooSemiringVector: Constructs a dense matrix of a similar type as this vector with the specified shape and data.
makeLikeDenseMatrix(Shape, Y...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Constructs a dense matrix of a similar type as this vector with the specified shape and data.
makeLikeDenseTensor(Shape, Complex128[]) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Constructs a dense tensor with the specified shape and data which is a similar type to this sparse tensor.
makeLikeDenseTensor(Shape, Complex128[]) - Method in class org.flag4j.arrays.sparse.CooCTensor: Constructs a dense tensor that is a similar type as this sparse COO tensor.
makeLikeDenseTensor(Shape, Complex128...) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a dense vector of a similar type as this vector with the specified shape and data.
makeLikeDenseTensor(Shape, Complex128[]) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Constructs a dense matrix which is of a similar type to this sparse CSR matrix.
makeLikeDenseTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Constructs a dense tensor with the specified shape and data which is a similar type to this sparse tensor.
makeLikeDenseTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooFieldTensor: Constructs a dense tensor that is a similar type as this sparse COO tensor.
makeLikeDenseTensor(Shape, T...) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a dense vector of a similar type as this vector with the specified shape and data.
makeLikeDenseTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Constructs a dense tensor with the specified shape and data which is a similar type to this sparse tensor.
makeLikeDenseTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooRingTensor: Constructs a dense tensor that is a similar type as this sparse COO tensor.
makeLikeDenseTensor(Shape, T...) - Method in class org.flag4j.arrays.sparse.CooRingVector: Constructs a dense vector of a similar type as this vector with the specified shape and data.
makeLikeDenseTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Constructs a dense tensor with the specified shape and data which is a similar type to this sparse tensor.
makeLikeDenseTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooSemiringTensor: Constructs a dense tensor that is a similar type as this sparse COO tensor.
makeLikeDenseTensor(Shape, T...) - Method in class org.flag4j.arrays.sparse.CooSemiringVector: Constructs a dense vector of a similar type as this vector with the specified shape and data.
makeLikeDenseTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Constructs a dense matrix which is of a similar type to this sparse CSR matrix.
makeLikeDenseTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Constructs a dense matrix which is of a similar type to this sparse CSR matrix.
makeLikeDenseTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Constructs a dense matrix which is of a similar type to this sparse CSR matrix.
makeLikeDenseTensor(Shape, V[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Constructs a dense tensor that is a similar type as this sparse COO tensor.
makeLikeDenseTensor(Shape, W[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Constructs a dense tensor with the specified shape and data which is a similar type to this sparse tensor.
makeLikeDenseTensor(Shape, W[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Constructs a dense matrix which is of a similar type to this sparse CSR matrix.
makeLikeDenseTensor(Shape, Y...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Constructs a dense vector of a similar type as this vector with the specified shape and data.
makeLikeMatrix(Shape, Complex128[]) - Method in class org.flag4j.arrays.dense.CVector: Constructs a matrix of similar type to this vector with the specified shape and data.
makeLikeMatrix(Shape, Complex128[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a COO matrix with the specified shape, non-zero data, and row and column indices.
makeLikeMatrix(Shape, T[]) - Method in class org.flag4j.arrays.dense.FieldVector: Constructs a matrix of similar type to this vector with the specified shape and data.
makeLikeMatrix(Shape, T[]) - Method in class org.flag4j.arrays.dense.RingVector: Constructs a matrix of similar type to this vector with the specified shape and data.
makeLikeMatrix(Shape, T[]) - Method in class org.flag4j.arrays.dense.SemiringVector: Constructs a matrix of similar type to this vector with the specified shape and data.
makeLikeMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a COO matrix with the specified shape, non-zero data, and row and column indices.
makeLikeMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooRingVector: Constructs a COO matrix with the specified shape, non-zero data, and row and column indices.
makeLikeMatrix(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooSemiringVector: Constructs a COO matrix with the specified shape, non-zero data, and row and column indices.
makeLikeMatrix(Shape, V[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Constructs a matrix of similar type to this vector with the specified shape and data.
makeLikeMatrix(Shape, Y[], int[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Constructs a COO matrix with the specified shape, non-zero data, and row and column indices.
makeLikeTensor(int, double[], int[]) - Method in class org.flag4j.arrays.sparse.CooVector: Constructs a vector of the same type as this tensor with the given the shape and data.
makeLikeTensor(Complex128[]) - Method in class org.flag4j.arrays.dense.CVector: Constructs a dense vector with the specified data of the same type as the vector.
makeLikeTensor(Shape, double[]) - Method in class org.flag4j.arrays.dense.Matrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, double[]) - Method in class org.flag4j.arrays.dense.Tensor: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, double[]) - Method in class org.flag4j.arrays.dense.Vector: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, double[]) - Method in class org.flag4j.arrays.sparse.CooMatrix: Constructs a sparse COO matrix of the same type as this tensor with the given the shape and data and indices copied from this matrix.
makeLikeTensor(Shape, double[]) - Method in class org.flag4j.arrays.sparse.CooTensor: Constructs a sparse tensor of the same type as this tensor with the same indices as this sparse tensor and with the provided the shape and data.
makeLikeTensor(Shape, double[]) - Method in class org.flag4j.arrays.sparse.CooVector: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, double[]) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Constructs a CSR matrix of the same type as this matrix with the given the shape and data and the same row pointers and column indices as this matrix.
makeLikeTensor(Shape, double[], int[][]) - Method in class org.flag4j.arrays.sparse.CooTensor: Constructs a sparse tensor of the same type as this tensor with the given the shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<Double>, List<int[]>) - Method in class org.flag4j.arrays.sparse.CooTensor: Constructs a sparse tensor of the same type as this tensor with the given the shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<Complex128>, List<int[]>) - Method in class org.flag4j.arrays.sparse.CooCTensor: Constructs a tensor of the same type as this tensor with the specified shape and non-zero data.
makeLikeTensor(Shape, List<Complex128>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a COO vector with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<Complex128>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Constructs a COO matrix with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<Complex128>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Constructs a CSR matrix with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<T>, List<int[]>) - Method in class org.flag4j.arrays.sparse.CooFieldTensor: Constructs a sparse tensor of the same type as this tensor with the given the shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<T>, List<int[]>) - Method in class org.flag4j.arrays.sparse.CooRingTensor: Constructs a tensor of the same type as this tensor with the specified shape and non-zero data.
makeLikeTensor(Shape, List<T>, List<int[]>) - Method in class org.flag4j.arrays.sparse.CooSemiringTensor: Constructs a tensor of the same type as this tensor with the specified shape and non-zero data.
makeLikeTensor(Shape, List<T>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a COO vector with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<T>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooRingVector: Constructs a COO vector with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<T>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooSemiringVector: Constructs a COO vector with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<T>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Constructs a COO matrix with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<T>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Constructs a COO matrix with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<T>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Constructs a COO matrix with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<T>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Constructs a CSR matrix with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<T>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Constructs a CSR matrix with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<T>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Constructs a CSR matrix with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<V>, List<int[]>) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Constructs a tensor of the same type as this tensor with the specified shape and non-zero data.
makeLikeTensor(Shape, List<W>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Constructs a COO matrix with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<W>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Constructs a CSR matrix with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, List<Y>, List<Integer>) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Constructs a COO vector with the specified shape, non-zero data, and non-zero indices.
makeLikeTensor(Shape, Complex128[]) - Method in class org.flag4j.arrays.dense.CMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, Complex128[]) - Method in class org.flag4j.arrays.dense.CTensor: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, Complex128[]) - Method in class org.flag4j.arrays.dense.CVector: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, Complex128[]) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, Complex128[]) - Method in class org.flag4j.arrays.sparse.CooCTensor: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, Complex128[]) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, Complex128[]) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, Complex128[], int[]) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a sparse COO vector of the same type as this vector with the specified non-zero data and indices.
makeLikeTensor(Shape, Complex128[], int[][]) - Method in class org.flag4j.arrays.sparse.CooCTensor: Constructs a tensor of the same type as this tensor with the specified shape and non-zero data.
makeLikeTensor(Shape, Complex128[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Constructs a sparse COO tensor of the same type as this tensor with the specified non-zero data and indices.
makeLikeTensor(Shape, Complex128[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Constructs a sparse CSR tensor of the same type as this tensor with the specified non-zero data and indices.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.dense.FieldMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.dense.FieldTensor: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.dense.FieldVector: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.dense.RingMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.dense.RingTensor: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.dense.RingVector: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.dense.SemiringTensor: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.dense.SemiringVector: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooFieldTensor: Constructs a sparse tensor of the same type as this tensor with the same indices as this sparse tensor and with the provided the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooRingTensor: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooRingVector: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooSemiringTensor: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CooSemiringVector: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[]) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, T[], int[]) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a sparse COO vector of the same type as this vector with the specified non-zero data and indices.
makeLikeTensor(Shape, T[], int[]) - Method in class org.flag4j.arrays.sparse.CooRingVector: Constructs a sparse COO vector of the same type as this vector with the specified non-zero data and indices.
makeLikeTensor(Shape, T[], int[]) - Method in class org.flag4j.arrays.sparse.CooSemiringVector: Constructs a sparse COO vector of the same type as this vector with the specified non-zero data and indices.
makeLikeTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.sparse.CooFieldTensor: Constructs a tensor of the same type as this tensor with the specified shape and non-zero data.
makeLikeTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.sparse.CooRingTensor: Constructs a tensor of the same type as this tensor with the specified shape and non-zero data.
makeLikeTensor(Shape, T[], int[][]) - Method in class org.flag4j.arrays.sparse.CooSemiringTensor: Constructs a tensor of the same type as this tensor with the specified shape and non-zero data.
makeLikeTensor(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Constructs a sparse COO tensor of the same type as this tensor with the specified non-zero data and indices.
makeLikeTensor(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Constructs a sparse COO tensor of the same type as this tensor with the specified non-zero data and indices.
makeLikeTensor(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Constructs a sparse COO tensor of the same type as this tensor with the specified non-zero data and indices.
makeLikeTensor(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Constructs a sparse CSR tensor of the same type as this tensor with the specified non-zero data and indices.
makeLikeTensor(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Constructs a sparse CSR tensor of the same type as this tensor with the specified non-zero data and indices.
makeLikeTensor(Shape, T[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Constructs a sparse CSR tensor of the same type as this tensor with the specified non-zero data and indices.
makeLikeTensor(Shape, U) - Method in class org.flag4j.arrays.backend.AbstractTensor: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, V) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Constructs a tensor of the same type as this tensor with the given the shape and data.
makeLikeTensor(Shape, V[], int[][]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Constructs a tensor of the same type as this tensor with the specified shape and non-zero data.
makeLikeTensor(Shape, W[], int[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Constructs a sparse COO tensor of the same type as this tensor with the specified non-zero data and indices.
makeLikeTensor(Shape, W[], int[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Constructs a sparse CSR tensor of the same type as this tensor with the specified non-zero data and indices.
makeLikeTensor(Shape, Y[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Constructs a sparse COO vector of the same type as this vector with the specified non-zero data and indices.
makeLikeTensor(T...) - Method in class org.flag4j.arrays.dense.FieldVector: Creates a vector with the specified data.
makeLikeTensor(T[]) - Method in class org.flag4j.arrays.dense.RingVector: Constructs a dense vector with the specified data of the same type as the vector.
makeLikeTensor(T[]) - Method in class org.flag4j.arrays.dense.SemiringVector: Constructs a dense vector with the specified data of the same type as the vector.
makeLikeTensor(V[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Constructs a dense vector with the specified data of the same type as the vector.
makeLikeVector(Complex128[]) - Method in class org.flag4j.arrays.dense.CMatrix: Constructs a vector of a similar type as this matrix.
makeLikeVector(Shape, Complex128[]) - Method in class org.flag4j.arrays.dense.CMatrix: Constructs a vector of a similar type as this matrix.
makeLikeVector(Shape, Complex128[], int[]) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Constructs a sparse COO vector of a similar type to this COO matrix.
makeLikeVector(Shape, T[]) - Method in class org.flag4j.arrays.dense.FieldMatrix: Constructs a vector of a similar type as this matrix.
makeLikeVector(Shape, T[]) - Method in class org.flag4j.arrays.dense.RingMatrix: Constructs a vector of a similar type as this matrix.
makeLikeVector(Shape, T[]) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Constructs a vector of a similar type as this matrix.
makeLikeVector(Shape, T[], int[]) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Constructs a sparse COO vector of a similar type to this COO matrix.
makeLikeVector(Shape, T[], int[]) - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Constructs a sparse COO vector of a similar type to this COO matrix.
makeLikeVector(Shape, T[], int[]) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Constructs a sparse COO vector of a similar type to this COO matrix.
makeLikeVector(Shape, V[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Constructs a vector of a similar type as this matrix.
makeLikeVector(Shape, W[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Constructs a sparse COO vector of a similar type to this COO matrix.
makeLikeVector(T...) - Method in class org.flag4j.arrays.dense.FieldMatrix: Constructs a vector of similar type to this matrix with the given data.
makeLikeVector(T[]) - Method in class org.flag4j.arrays.dense.RingMatrix: Constructs a vector of a similar type as this matrix.
makeLikeVector(T[]) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Constructs a vector of a similar type as this matrix.
makeLikeVector(V[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Constructs a vector of a similar type as this matrix.
makeReflector(int, double, double) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Constructs a householder reflector given specified values for a column to apply the reflector to.
makeReflector(int, double, double, double) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Constructs a householder reflector given specified values for a column to apply the reflector to.
makeReflector(int, Complex128, Complex128) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Constructs a householder reflector given specified values for a column to apply the reflector to.
makeReflector(int, Complex128, Complex128, Complex128) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Constructs a householder reflector given specified values for a column to apply the reflector to.
map(T[], Function<T, T>) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.TransformSemiRing: Applies a specified function to each element of the given array and returns a new array containing the results of the mapping operation.
mapReduce(T[], Function<T, T>, BinaryOperator<T>) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.TransformSemiRing: Applies a map-reduce procedure to an array of Semiring values.
Mathematical Functions: - Search tag in class org.flag4j.algebraic_structures.Complex128: Section
Mathematical Functions: - Search tag in class org.flag4j.algebraic_structures.Complex64: Section
matMultShapeErrMsg(Shape, Shape) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for two matrices with shapes not conducive with matrix multiplication.
MatMultVisitor - Class in org.flag4j.arrays.backend.smart_visitors
MatMultVisitor(MatrixMixin<?, ?, ?, ?>) - Constructor for class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
Matrix - Class in org.flag4j.arrays.dense: Instances of this class represents a complex dense matrix backed by a double[] array.
Matrix(double[][]) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix whose data are specified by a double array.
Matrix(int) - Constructor for class org.flag4j.arrays.dense.Matrix: Constructs a square real dense matrix of a specified size.
Matrix(int[][]) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix whose data are specified by a double array.
Matrix(int, double) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a square real dense matrix with a specified fill value.
Matrix(int, int) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix of a specified shape filled with zeros.
Matrix(int, int, double) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix with a specified shape and fills the matrix with the specified value.
Matrix(int, int, double...) - Constructor for class org.flag4j.arrays.dense.Matrix: Constructs a matrix with specified shape and data.
Matrix(Double[][]) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix whose data are specified by a double array.
Matrix(Integer[][]) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix whose data are specified by a double array.
Matrix(Matrix) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix which is a copy of a specified matrix.
Matrix(Shape) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix with specified shape filled with zeros.
Matrix(Shape, double) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix with specified shape filled with a specific value.
Matrix(Shape, double...) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a tensor with the specified data and shape.
MATRIX - Enum constant in enum class org.flag4j.io.MatrixMarketHeader.MMObject
matrixBinarySearch(int[], int[], int, int) - Static method in class org.flag4j.linalg.ops.sparse.SparseElementSearch: Preforms a binary search along the row and column indices of the non-zero values of a sparse matrix for the location of an entry with the specified target indices.
matrixEquals(AbstractDenseFieldMatrix<?, ?, T>, AbstractCooFieldMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldEquals: Checks if two real dense matrices are equal.
matrixEquals(CMatrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseEquals: Checks if a dense complex matrix is equal to a real sparse matrix.
matrixEquals(Matrix, AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseEquals: Checks if two real dense matrices are equal.
matrixEquals(Matrix, Matrix) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseEquals: Checks if two real dense matrices are equal.
matrixEquals(Matrix, CooCMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseEquals: Checks if a real dense matrix is equal to a sparse complex matrix.
matrixEquals(Matrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseEquals: Checks if a real dense matrix is equal to a real sparse matrix.
matrixEquals(CooMatrix, CooCMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseEquals: Checks if a real sparse matrix and complex sparse matrix are equal.
matrixFindRowStartEnd(int[], int) - Static method in class org.flag4j.linalg.ops.sparse.SparseElementSearch: Finds the indices of the first and last non-zero element in the specified row of a sparse matrix.
matrixGet(CooMatrix, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Gets the specified element from a sparse matrix.
MatrixMarketHeader - Record Class in org.flag4j.io: A data record for storing the tokens of a Matrix Market Exchange Format file header.
MatrixMarketHeader(MatrixMarketHeader.MMObject, MatrixMarketHeader.MMFormat, MatrixMarketHeader.MMField, MatrixMarketHeader.MMSymmetry, String...) - Constructor for record class org.flag4j.io.MatrixMarketHeader: Creates an instance of a MatrixMarketHeader record class.
MatrixMarketHeader.MMField - Enum Class in org.flag4j.io: Enum containing valid field types in a Matrix Market file.
MatrixMarketHeader.MMFormat - Enum Class in org.flag4j.io: Enum containing valid formats in a Matrix Market file.
MatrixMarketHeader.MMObject - Enum Class in org.flag4j.io: Enum containing valid object types in a Matrix Market file.
MatrixMarketHeader.MMSymmetry - Enum Class in org.flag4j.io: Enum containing valid symmetry in a Matrix Market file.
MatrixMarketReader - Class in org.flag4j.io: Instances of this class may be used to parse a file containing matrix or vector data in Matrix Market Exchange Format.
MatrixMarketReader() - Constructor for class org.flag4j.io.MatrixMarketReader
MatrixMarketWriter - Class in org.flag4j.io
MatrixMixin<T,U,V,W> - Interface in org.flag4j.arrays.backend: The MatrixMixin interface defines methods that any matrix implementation must support.
MatrixMultiplyDispatcher - Class in org.flag4j.linalg.ops: Dispatches matrix multiplication to the appropriate algorithm based on the size of the matrices to be multiplied.
matrixNormL2(CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseNorms: Computes the L₂ norm of a matrix.
matrixNormL22(AbstractCooRingMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.coo.ring_ops.CooRingNorms: Computes the L_{2, 2} norm of a matrix.
matrixNormLp(CooMatrix, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseNorms: Computes the L_p norm of a matrix.
matrixNormLpq(AbstractCooRingMatrix<?, ?, ?, T>, double, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.ring_ops.CooRingNorms: Computes the L_{p, q} norm of a matrix.
matrixNormLpq(CooMatrix, double, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseNorms: Computes the L_{p, q} norm of a matrix.
MatrixNorms - Class in org.flag4j.linalg: A utility class providing a range of matrix norm computations for both real and complex matrices.
matrixRank() - Method in class org.flag4j.arrays.dense.Matrix: Computes the rank of this matrix (i.e. the number of linearly independent rows/columns in this matrix).
matrixSet(CooMatrix, int, int, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Sets the specified element from a sparse matrix.
matrixToString(Shape, double[]) - Static method in class org.flag4j.io.PrettyPrint: Converts a matrix into a "pretty" string using parameters set in the PrintOptions class.
matrixToString(Shape, T[]) - Static method in class org.flag4j.io.PrettyPrint: Converts a matrix into a "pretty" string using parameters set in the PrintOptions class.
MatrixVisitor<T> - Class in org.flag4j.arrays.backend.smart_visitors
MatrixVisitor(T) - Constructor for class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
max - Variable in class org.flag4j.rng.distributions.Complex128UniformDisk: Outer radius of the annulus (exclusive).
max - Variable in class org.flag4j.rng.distributions.RealUniform: Upper bound of the uniform distribution (exclusive).
max() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Finds the maximum value in this tensor.
max() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Finds the maximum value in this tensor.
max() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Finds the maximum value in this tensor.
max() - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Finds the maximum value in this tensor.
max() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Finds the maximum value in this tensor.
max() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Finds the maximum (non-zero) value in this tensor.
max() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Finds the maximum value in this tensor.
max() - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Finds the maximum value in this tensor.
max(double...) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Computes the maximum value in a tensor.
max(Complex128...) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the maximum magnitude from an array of complex numbers.
max(Complex64...) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the maximum magnitude from an array of complex numbers.
max(T...) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.CompareSemiring: Computes the maximum value in the specified array.
maxAbs() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Finds the maximum absolute value in this tensor.
maxAbs() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Finds the maximum absolute value in this tensor.
maxAbs() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingTensor: Finds the maximum absolute value in this tensor.
maxAbs() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Finds the maximum absolute value in this tensor.
maxAbs() - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Finds the maximum absolute value in this tensor.
maxAbs(double...) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Computes the maximum absolute value in a tensor.
maxAbs(double[], int, int, int) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Returns the maximum absolute value among n elements in the array src, starting at index start and advancing by stride for each subsequent element.
maxAbs(T...) - Static method in class org.flag4j.linalg.ops.common.ring_ops.CompareRing: Computes the maximum absolute value in the specified array.
maxAbs(T[], int, int, int) - Static method in class org.flag4j.linalg.ops.common.ring_ops.CompareRing: Returns the maximum absolute value among n elements in the array src, starting at index start and advancing by stride for each subsequent element.
maxIm - Variable in class org.flag4j.rng.distributions.Complex128UniformRect: Upper bound of the imaginary component of the uniform distribution (exclusive).
maxIterations - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Maximum number of iterations to run QR algorithm for.
maxIterationsFactor - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Factor for computing the maximum number of iterations to run the QR algorithm for.
maxNorm(AbstractDenseRingMatrix<?, ?, ?>) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the maximum norm of this matrix.
maxNorm(Matrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the maximum norm of this matrix.
maxNorm(CooCMatrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the max norm of a matrix.
maxNorm(CooMatrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the max norm of a matrix.
maxNorm(CsrCMatrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the max norm of a matrix.
maxNorm(CsrMatrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the max norm of a matrix.
maxRe - Variable in class org.flag4j.rng.distributions.Complex128UniformRect: Upper bound of the real component of the uniform distribution (exclusive).
maxRe(Complex128...) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the minimum real component from an array of complex numbers.
maxRe(Complex64...) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the minimum real component from an array of complex numbers.
maxStringLengthRounded(double[], int) - Static method in class org.flag4j.io.PrettyPrint: Computes the maximum length of the string representation of a double in an array of doubles up until stopping index.
maxStringLengthRounded(double[], int, int, int, int) - Static method in class org.flag4j.io.PrettyPrint: Computes the maximum length of the string representation of an element in an array over a specified range with elements spaced by some specified stride.
maxStringLengthRounded(T[], int) - Static method in class org.flag4j.io.PrettyPrint: Computes the maximum length of the string representation of an element in an array up until some stopping index.
maxStringLengthRounded(T[], int, int, int, int) - Static method in class org.flag4j.io.PrettyPrint: Computes the maximum length of the string representation of an element in an array over a specified range with elements spaced by some specified stride.
mean - Variable in class org.flag4j.rng.distributions.RealGaussian: Mean of the Gaussian distribution.
min - Variable in class org.flag4j.rng.distributions.Complex128UniformDisk: Inner radius of the annulus (inclusive).
min - Variable in class org.flag4j.rng.distributions.RealUniform: Lower bound of the uniform distribution (inclusive).
min() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Finds the minimum value in this tensor.
min() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Finds the minimum value in this tensor.
min() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Finds the minimum value in this tensor.
min() - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Finds the minimum value in this tensor.
min() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Finds the minimum value in this tensor.
min() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Finds the minimum (non-zero) value in this tensor.
min() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Finds the minimum value in this tensor.
min() - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Finds the minimum value in this tensor.
min(double...) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Computes the minimum value in a tensor.
min(Complex128...) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the minimum magnitude from an array of complex numbers.
min(Complex64...) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the minimum magnitude from an array of complex numbers.
min(T...) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.CompareSemiring: Computes the minimum value in the specified array.
minAbs() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Finds the minimum value, in absolute value, in this tensor.
minAbs() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Finds the minimum value, in absolute value, in this tensor.
minAbs() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingTensor: Finds the minimum value, in absolute value, in this tensor.
minAbs() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Finds the minimum value, in absolute value, in this tensor.
minAbs() - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Finds the minimum value, in absolute value, in this tensor.
minAbs(double...) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Computes the minimum absolute value in a tensor.
minAbs(double[], int, int, int) - Static method in class org.flag4j.linalg.ops.common.real.RealProperties: Returns the minimum absolute value among n elements in the array src, starting at index start and advancing by stride for each subsequent element.
minAbs(T...) - Static method in class org.flag4j.linalg.ops.common.ring_ops.CompareRing: Computes the minimum absolute value in the specified array.
minAbs(T[], int, int, int) - Static method in class org.flag4j.linalg.ops.common.ring_ops.CompareRing: Returns the minimum absolute value among n elements in the array src, starting at index start and advancing by stride for each subsequent element.
minAxisSize - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: The minimum of rows and columns in the matrix to be decomposed.
minIm - Variable in class org.flag4j.rng.distributions.Complex128UniformRect: Lower bound of the imaginary component of the uniform distribution (inclusive).
minRe - Variable in class org.flag4j.rng.distributions.Complex128UniformRect: Lower bound of the real component of the uniform distribution (inclusive).
minRe(Complex128...) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the minimum real component from an array of complex numbers.
minRe(Complex64...) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the minimum real component from an array of complex numbers.
mult(double) - Method in class org.flag4j.algebraic_structures.Complex128: Multiplies an element of this field with a real number.
mult(double) - Method in interface org.flag4j.algebraic_structures.Field: Multiplies an element of this field with a real number (associative and commutative).
mult(double) - Method in class org.flag4j.algebraic_structures.RealFloat32: Multiplies an element of this field with a real number (associative and commutative).
mult(double) - Method in class org.flag4j.algebraic_structures.RealFloat64: Multiplies an element of this field with a real number (associative and commutative).
mult(double) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Multiplies a primitive scalar value to each entry of this tensor.
mult(double) - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Multiplies a primitive scalar value to each entry of this tensor.
mult(double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Multiplies a primitive scalar value to each entry of this tensor.
mult(double[], V, V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Multiplies a scalar value to each entry of the src tensor.
mult(float) - Method in class org.flag4j.algebraic_structures.Complex64: Multiplies an element of this field and a real number (associative and commutative).
mult(Double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Multiplies a scalar value to each entry of this tensor.
mult(BoolSemiring) - Method in class org.flag4j.algebraic_structures.BoolSemiring: Performs the multiplication operation of this semiring, defined as logical AND.
mult(Complex128) - Method in class org.flag4j.algebraic_structures.Complex128: Multiplies two elements of this field (associative and commutative).
mult(Complex128) - Method in class org.flag4j.arrays.dense.Matrix: Computes the scalar multiplication of this matrix with a complex number.
mult(Complex128) - Method in class org.flag4j.arrays.dense.Tensor: Multiplies a complex scalar value to each entry of this tensor.
mult(Complex128) - Method in class org.flag4j.arrays.dense.Vector: Multiplies this vector by a complex-valued scalar.
mult(Complex128) - Method in class org.flag4j.arrays.sparse.CooVector: Multiplies this vector by a complex scalar value.
mult(Complex64) - Method in class org.flag4j.algebraic_structures.Complex64: Multiplies two elements of this field (associative and commutative).
mult(RealFloat32) - Method in class org.flag4j.algebraic_structures.RealFloat32: Multiplies two elements of this field (associative and commutative).
mult(RealFloat64) - Method in class org.flag4j.algebraic_structures.RealFloat64: Multiplies two elements of this field (associative and commutative).
mult(RealInt16) - Method in class org.flag4j.algebraic_structures.RealInt16: Multiplies two elements of this ring (associative and commutative).
mult(RealInt32) - Method in class org.flag4j.algebraic_structures.RealInt32: Multiplies two elements of this field (associative and commutative).
mult(CMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the matrix multiplication between this matrix and a complex dense matrix.
mult(CMatrix) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Computes the matrix multiplication between two matrices.
mult(CMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the matrix multiplication between two matrices.
mult(CVector) - Method in class org.flag4j.arrays.dense.Matrix: Computes the matrix-vector product of this matrix and a dense complex vector.
mult(CVector) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Computes the matrix-vector multiplication of a vector with this matrix.
mult(Matrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix multiplication between two matrices.
mult(Matrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the matrix multiplication between two matrices.
mult(Matrix) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Computes the matrix multiplication between two matrices.
mult(Matrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Multiplies this sparse CSR matrix with a real dense matrix.
mult(Vector) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix-vector multiplication between this matrix and a vector.
mult(Vector) - Method in class org.flag4j.arrays.dense.Matrix: Computes matrix-vector multiplication.
mult(SmartMatrix) - Method in class org.flag4j.arrays.SmartMatrix: Computes the matrix multiplication of two matrices.
mult(CooCMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix multiplication between two matrices.
mult(CooCMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the matrix multiplication between this matrix and a complex sparse COO matrix.
mult(CooCMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the matrix multiplication between two matrices.
mult(CooCVector) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix-vector multiplication between this matrix and a vector.
mult(CooCVector) - Method in class org.flag4j.arrays.dense.Matrix: Computes the matrix-vector product of this matrix and a complex sparse vector.
mult(CooCVector) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Computes the matrix-vector multiplication of a vector with this matrix.
mult(CooCVector) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Computes the matrix-vector multiplication of a vector with this matrix.
mult(CooFieldVector<T>) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Computes the matrix-vector multiplication of a vector with this matrix.
mult(CooFieldVector<T>) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Computes the matrix-vector multiplication of a vector with this matrix.
mult(CooMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix multiplication between two matrices.
mult(CooMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the matrix multiplication between this matrix and a real sparse COO matrix.
mult(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the matrix multiplication between two matrices.
mult(CooRingVector<T>) - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Computes the matrix-vector multiplication of a vector with this matrix.
mult(CooRingVector<T>) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Computes the matrix-vector multiplication of a vector with this matrix.
mult(CooSemiringVector<T>) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Computes the matrix-vector multiplication of a vector with this matrix.
mult(CooSemiringVector<T>) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Computes the matrix-vector multiplication of a vector with this matrix.
mult(CooVector) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix-vector multiplication between this matrix and a vector.
mult(CooVector) - Method in class org.flag4j.arrays.dense.Matrix: Computes the matrix-vector product of this matrix and a real sparse vector.
mult(CooVector) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes matrix-vector multiplication.
mult(CooVector) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes matrix-vector multiplication.
mult(CsrCMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix multiplication between two matrices.
mult(CsrCMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the matrix multiplication between this matrix and a complex sparse CSR matrix.
mult(CsrCMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the matrix multiplication between two matrices.
mult(CsrMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix multiplication between two matrices.
mult(CsrMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the matrix multiplication between this matrix and a real sparse CSR matrix.
mult(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Computes the matrix multiplication between two matrices.
mult(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the matrix multiplication between two matrices.
mult(PermutationMatrix) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Computes the matrix-matrix multiplication between two permutation matrices.
mult(T) - Method in interface org.flag4j.algebraic_structures.Semiring: Multiplies two elements of this semiring (associative).
mult(T) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Computes the matrix multiplication between two matrices.
mult(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Computes the matrix multiplication between two matrices.
mult(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Computes the matrix multiplication between two matrices.
mult(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Computes the matrix multiplication between two matrices.
mult(U) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Computes the matrix-vector multiplication of a vector with this matrix.
mult(V) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Multiplies a scalar value to each entry of this tensor.
mult(V) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Computes the matrix-vector multiplication of a vector with this matrix.
mult(V) - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Multiplies a scalar value to each entry of this tensor.
mult(V) - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Multiplies a scalar value to each entry of this tensor.
mult(V[], double, V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Multiplies a primitive scalar value to each entry of the src tensor.
mult(W) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Multiplies a scalar value to each entry of this tensor.
MULT_T - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
MULT_T - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
MULT_T_BLOCKED - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
MULT_T_BLOCKED - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
MULT_T_BLOCKED_CONCURRENT - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
MULT_T_BLOCKED_CONCURRENT - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
MULT_T_CONCURRENT - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
MULT_T_CONCURRENT - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
mult2Csr(CsrCMatrix) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Computes the matrix multiplication between two matrices.
mult2Csr(CsrCMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the matrix multiplication between two sparse CSR matrices and stores the result in a CSR matrix.
mult2Csr(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Computes the matrix multiplication between two matrices.
mult2Csr(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the matrix multiplication between two sparse CSR matrices and stores the result in a CSR matrix.
mult2Csr(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Computes the matrix multiplication between two sparse CSR matrices and stores the result in a sparse matrix.
multEq(double) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Multiplies a primitive scalar value to each entry of this tensor and stores the result in this tensor.
multEq(double) - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Multiplies a primitive scalar value to each entry of this tensor and stores the result in this tensor.
multEq(double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Multiplies a primitive scalar value to each entry of this tensor and stores the result in this tensor.
multEq(Double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Multiplies a scalar value to each entry of this tensor and stores the result in this tensor.
multEq(V) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Multiplies a scalar value to each entry of this tensor and stores the result in this tensor.
multEq(V) - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Multiplies a scalar value to each entry of this tensor and stores the result in this tensor.
multEq(V) - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Multiplies a scalar value to each entry of this tensor and stores the result in this tensor.
multEq(W) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Multiplies a scalar value to each entry of this tensor and stores the result in this tensor.
multInv() - Method in class org.flag4j.algebraic_structures.Complex128: Computes the multiplicative inverse of this complex number.
multInv() - Method in class org.flag4j.algebraic_structures.Complex64: Computes the multiplicative inverse of this complex number.
multInv() - Method in interface org.flag4j.algebraic_structures.Field: Computes the multiplicative inverse for an element of this field.
multInv() - Method in class org.flag4j.algebraic_structures.RealFloat32: Computes the multiplicative inverse for an element of this field.
multInv() - Method in class org.flag4j.algebraic_structures.RealFloat64: Computes the multiplicative inverse for an element of this field.
multToSparse(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Computes the matrix multiplication between two sparse CSR matrices and stores the result in a sparse matrix.
multTranspose(double[], Shape, double[], int[], int[], Shape) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatrixMultTranspose: Multiplies a real dense matrix to the transpose of a real sparse matrix.
multTranspose(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix.
multTranspose(double[], Shape, T[], int[], int[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMultTranspose: Multiplies a real dense matrix to the transpose of a sparse field matrix.
multTranspose(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix.
multTranspose(Matrix) - Method in class org.flag4j.arrays.dense.Matrix: Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.T()).
multTranspose(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.T()).
multTranspose(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.T()).
multTranspose(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.H()).
multTranspose(T) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.T()).
multTranspose(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.T()).
multTranspose(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.T()).
multTranspose(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.T()).
multTranspose(T[], Shape, double[], int[], int[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMultTranspose: Multiplies a dense field matrix to the transpose of a real sparse matrix.
multTranspose(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix.
multTranspose(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultTranspose: Multiplies a matrix to the transpose of a second matrix.
multTransposeBlocked(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a blocked algorithm.
multTransposeBlocked(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a blocked algorithm.
multTransposeBlocked(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a blocked algorithm.
multTransposeBlocked(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a blocked algorithm.
multTransposeBlockedConcurrent(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent implementation of a blocked algorithm.
multTransposeBlockedConcurrent(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent implementation of a blocked algorithm.
multTransposeBlockedConcurrent(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent implementation of a blocked algorithm.
multTransposeBlockedConcurrent(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent implementation of a blocked algorithm.
multTransposeConcurrent(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent algorithm.
multTransposeConcurrent(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent algorithm.
multTransposeConcurrent(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent algorithm.
multTransposeConcurrent(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent algorithm.

N

NaN - Static variable in class org.flag4j.algebraic_structures.Complex128: Complex number with real and imaginary parts equal to Double.NaN.
NaN - Static variable in class org.flag4j.algebraic_structures.Complex64: Complex number with real and imaginary parts equal to Float.NaN.
nDArrayShape(Object) - Static method in class org.flag4j.util.ArrayUtils: Infers the shape of a rectangular nD Java array.
nDFlatten(Object, Shape, double[], int) - Static method in class org.flag4j.util.ArrayUtils: Recursively validates the shape of the nD array and flattens it into the provided 1D array.
nDFlatten(Object, Shape, T[], int) - Static method in class org.flag4j.util.ArrayUtils: Recursively validates the shape of the nD array and flattens it into the provided 1D array.
nearZero(Complex128, double) - Static method in class org.flag4j.algebraic_structures.Complex128: Checks if a number is near zero in magnitude.
nearZero(Complex64, float) - Static method in class org.flag4j.algebraic_structures.Complex64: Checks if a number is near zero in magnitude.
NEGATIVE_INFINITY - Static variable in class org.flag4j.algebraic_structures.Complex128: Complex number with real part equal to Double.NEGATIVE_INFINITY.
NEGATIVE_INFINITY - Static variable in class org.flag4j.algebraic_structures.Complex64: Complex number with real part equal to Float.NEGATIVE_INFINITY.
NEGATIVE_ONE - Static variable in class org.flag4j.algebraic_structures.RealFloat32: The numerical value -1.0.
NEGATIVE_ONE - Static variable in class org.flag4j.algebraic_structures.RealFloat64: The numerical value -1.0.
NEGATIVE_ONE - Static variable in class org.flag4j.algebraic_structures.RealInt16: The numerical value -1.
NEGATIVE_ONE - Static variable in class org.flag4j.algebraic_structures.RealInt32: The numerical value -1.
negativeDimErrMsg(int[]) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for an attempted construction of a tensor with a negative dimension.
newShape1 - Variable in class org.flag4j.linalg.ops.TensorDot
newShape2 - Variable in class org.flag4j.linalg.ops.TensorDot
nnz - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Number of non-zero data in this COO matrix.
nnz - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: The number of non-zero data in this sparse tensor.
nnz - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: The number of non-zero data in this sparse COO vector.
nnz - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Number of non-zero data in this CSR matrix.
nnz - Variable in class org.flag4j.arrays.sparse.CooMatrix: Number of non-zero data in this COO matrix.
nnz - Variable in class org.flag4j.arrays.sparse.CooTensor: The number of non-zero data in this tensor.
nnz - Variable in class org.flag4j.arrays.sparse.CooVector: The number of non-zero values in this sparse COO vector.
nnz - Variable in class org.flag4j.arrays.sparse.CsrMatrix: Number of non-zero data in this CSR matrix.
NONE - Enum constant in enum class org.flag4j.linalg.decompositions.lu.LU.Pivoting
noPivot() - Method in class org.flag4j.linalg.decompositions.lu.ComplexLU: Computes the LU decomposition using no pivoting (i.e. rows and columns are not swapped).
noPivot() - Method in class org.flag4j.linalg.decompositions.lu.FieldLU: Computes the LU decomposition using no pivoting (i.e. rows and columns are not swapped).
noPivot() - Method in class org.flag4j.linalg.decompositions.lu.LU: Computes the LU decomposition using no pivoting (i.e. rows and columns are not swapped).
noPivot() - Method in class org.flag4j.linalg.decompositions.lu.RealLU: Computes the LU decomposition using no pivoting (i.e. rows and columns are not swapped).
norm - Variable in class org.flag4j.linalg.decompositions.schur.ComplexSchur: For computing the norm of a column for use when computing Householder reflectors.
norm - Variable in class org.flag4j.linalg.decompositions.schur.RealSchur: For computing the norm of a column for use when computing Householder reflectors.
norm - Variable in class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: For storing the scaled, phase-adjusted norm.
norm - Variable in class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: To store norms of columns in UnitaryDecomposition.transformMatrix.
norm() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Computes the Euclidean norm of this vector.
norm() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Computes the Euclidean norm of this vector.
norm() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingVector: Computes the Euclidean norm of this vector.
norm() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Computes the Euclidean norm of this vector.
norm() - Method in class org.flag4j.arrays.dense.CMatrix: // TODO: Update javadoc.
norm() - Method in class org.flag4j.arrays.dense.Vector: Computes the Euclidean norm of this vector.
norm() - Method in class org.flag4j.arrays.sparse.CooVector: Computes the Euclidean norm of this vector.
norm(double) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Computes the p-norm of this vector.
norm(double) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Computes the p-norm of this vector.
norm(double) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingVector: Computes the p-norm of this vector.
norm(double) - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Computes the p-norm of this vector.
norm(double) - Method in class org.flag4j.arrays.dense.CMatrix: // TODO: Update javadoc.
norm(double...) - Static method in class org.flag4j.linalg.VectorNorms: Computes the Euclidean (ℓ²) norm of a real dense or sparse vector.
norm(double[], double) - Static method in class org.flag4j.linalg.VectorNorms: Computes the ℓ^p norm (or p-norm) of a real dense or sparse vector.
norm(double[], int, int, int) - Static method in class org.flag4j.linalg.VectorNorms: Computes the ℓ² (Euclidean) norm of a sub-vector within src, starting at index start and considering n elements spaced by stride.
norm(double, double) - Method in class org.flag4j.arrays.dense.CMatrix: // TODO: Update javadoc.
norm(int) - Method in class org.flag4j.arrays.dense.Vector: Computes the p-norm of this vector.
norm(int) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the p-norm of this vector.
norm(int, int) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingMatrix: Computes the p-norm of this vector.
norm(AbstractDenseRingMatrix<?, ?, ?>) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the Frobenius (or L_{2, 2}) norm of a real dense matrix.
norm(AbstractDenseRingMatrix<?, ?, ?>, double, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the L_{p, q} norm of a real dense matrix.
norm(Matrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the Frobenius (or L_{2, 2}) norm of a real dense matrix.
norm(Matrix, double, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the L_{p, q} norm of a real dense matrix.
norm(CooCMatrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the Frobenius (L_{2, 2}) norm of this complex COO matrix.
norm(CooCMatrix, double, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the L_{p, q} norm of a complex COO matrix.
norm(CooMatrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the Frobenius (L_{2, 2}) norm of this complex COO matrix.
norm(CooMatrix, double, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the L_{p, q} norm of a real COO matrix.
norm(CsrCMatrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the Frobenius of this matrix.
norm(CsrCMatrix, double, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the L_{p, q} norm of a complex CSR matrix.
norm(CsrMatrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the Frobenius (L_{2, 2}) of this matrix.
norm(CsrMatrix, double, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the L_{p, q} norm of a real CSR matrix.
norm(T...) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingVectorNorms: Computes the 2-norm of a vector.
norm(T...) - Static method in class org.flag4j.linalg.VectorNorms: Computes the Euclidean (ℓ²) norm of a dense or sparse vector whose entries are members of a Ring.
norm(T[], double) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingVectorNorms: Computes the p-norm of a vector.
norm(T[], double) - Static method in class org.flag4j.linalg.VectorNorms: Computes the ℓ^p norm (or p-norm) of a dense or sparse vector whose entries are members of a Ring.
norm(T[], int, int, int) - Static method in class org.flag4j.linalg.VectorNorms: Computes the ℓ² (Euclidean) norm of a sub-vector within src, starting at index start and considering n elements spaced by stride.
normalize() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldVector: Normalizes this vector to a unit length vector.
normalize() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Normalizes this vector to a unit length vector.
normalize() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingVector: Normalizes this vector to a unit length vector.
normalize() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Normalizes this vector to a unit length vector.
normalize() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Normalizes this vector to a unit length vector.
normalize() - Method in interface org.flag4j.arrays.backend.VectorMixin: Normalizes this vector to a unit length vector.
normalize() - Method in class org.flag4j.arrays.dense.CVector: Normalizes this vector to a unit length vector.
normalize() - Method in class org.flag4j.arrays.dense.Vector: Computes a unit vector in the same direction as this vector.
normalize() - Method in class org.flag4j.arrays.sparse.CooCVector: Normalizes this vector to a unit length vector.
normalize() - Method in class org.flag4j.arrays.sparse.CooVector: Computes a unit vector in the same direction as this vector.
normRe - Variable in class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: To store norms of columns in UnitaryDecomposition.transformMatrix.
not() - Method in class org.flag4j.algebraic_structures.BoolSemiring: Computes the logical NOT (negation) of this BoolSemiring.
notContains(int[], int) - Static method in class org.flag4j.util.ArrayUtils: Checks if a key is in an array.
Notes: - Search tag in class org.flag4j.arrays.SmartMatrix: Section
notInAxes(int[], int) - Static method in class org.flag4j.util.ArrayUtils: Given a list of integers, srcAxes, which is a subset of {0, 1, 2, ...., dim-1} in no particular order, compute the integers which are in {0, 1, 2, ...., dim-1} but not in srcAxes.
numCols - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: The number of columns in this matrix.
numCols - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: The number of columns in this matrix.
numCols - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: The number of columns in this matrix.
numCols - Variable in class org.flag4j.arrays.dense.Matrix: The number of columns in this matrix.
numCols - Variable in class org.flag4j.arrays.sparse.CooMatrix: The number of columns in this matrix.
numCols - Variable in class org.flag4j.arrays.sparse.CsrMatrix: The number of columns in this matrix.
numCols - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Number of columns in UnitaryDecomposition.transformMatrix.
numCols() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets the number of columns in this matrix.
numCols() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets the number of columns in this matrix.
numCols() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Gets the number of columns in this matrix.
numCols() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Gets the number of columns in this matrix.
numCols() - Method in class org.flag4j.arrays.dense.Matrix: Gets the number of columns in this matrix.
numCols() - Method in class org.flag4j.arrays.sparse.CooMatrix: Gets the number of columns in this matrix.
numCols() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Gets the number of columns in this matrix.
numColSwaps - Variable in class org.flag4j.linalg.decompositions.lu.LU
numExceptional - Variable in class org.flag4j.linalg.decompositions.schur.Schur: The total number of exceptional shifts that have been used during the decomposition.
numRows - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: The number of rows in this matrix.
numRows - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: The number of rows in this matrix.
numRows - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: The number of rows in this matrix.
numRows - Variable in class org.flag4j.arrays.dense.Matrix: The number of rows in this matrix.
numRows - Variable in class org.flag4j.arrays.sparse.CooMatrix: The number of rows in this matrix.
numRows - Variable in class org.flag4j.arrays.sparse.CsrMatrix: The number of rows in this matrix.
numRows - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Stores the number of rows in the matrix being decomposed.
numRows - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Number of rows in UnitaryDecomposition.transformMatrix.
numRows() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Gets the number of rows in this matrix.
numRows() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets the number of rows in this matrix.
numRows() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Gets the number of rows in this matrix.
numRows() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Gets the number of rows in this matrix.
numRows() - Method in class org.flag4j.arrays.dense.Matrix: Gets the number of rows in this matrix.
numRows() - Method in class org.flag4j.arrays.sparse.CooMatrix: Gets the number of rows in this matrix.
numRows() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Gets the number of rows in this matrix.
numRowSwaps - Variable in class org.flag4j.linalg.decompositions.lu.LU
numUnique(double[]) - Static method in class org.flag4j.util.ArrayUtils: Counts the number of unique elements in an array.
numUnique(int[]) - Static method in class org.flag4j.util.ArrayUtils: Counts the number of unique elements in an array.

O

object() - Method in record class org.flag4j.io.MatrixMarketHeader: Returns the value of the object record component.
ONE - Static variable in class org.flag4j.algebraic_structures.BoolSemiring: The boolean value true.
ONE - Static variable in class org.flag4j.algebraic_structures.Complex128: The complex number with zero imaginary part and one real part.
ONE - Static variable in class org.flag4j.algebraic_structures.Complex64: The complex number with zero imaginary part and one real part.
ONE - Static variable in class org.flag4j.algebraic_structures.RealFloat32: The numerical value 1.0.
ONE - Static variable in class org.flag4j.algebraic_structures.RealFloat64: The numerical value 1.0.
ONE - Static variable in class org.flag4j.algebraic_structures.RealInt16: The numerical value 1.
ONE - Static variable in class org.flag4j.algebraic_structures.RealInt32: The numerical value 1.
or(BoolSemiring) - Method in class org.flag4j.algebraic_structures.BoolSemiring: Computes the logical OR of this BoolSemiring with another.
org.flag4j.algebraic_structures - package org.flag4j.algebraic_structures: Provides algebraic structures such as semirings, rings, and fields, along with their concrete implementations.
org.flag4j.arrays - package org.flag4j.arrays
org.flag4j.arrays.backend - package org.flag4j.arrays.backend
org.flag4j.arrays.backend.field_arrays - package org.flag4j.arrays.backend.field_arrays
org.flag4j.arrays.backend.primitive_arrays - package org.flag4j.arrays.backend.primitive_arrays
org.flag4j.arrays.backend.ring_arrays - package org.flag4j.arrays.backend.ring_arrays
org.flag4j.arrays.backend.semiring_arrays - package org.flag4j.arrays.backend.semiring_arrays
org.flag4j.arrays.backend.smart_visitors - package org.flag4j.arrays.backend.smart_visitors
org.flag4j.arrays.dense - package org.flag4j.arrays.dense: Provides implementations for dense tensors, matrices, and vectors.
org.flag4j.arrays.sparse - package org.flag4j.arrays.sparse: Contains implementations for sparse tensors, matrices, and vectors.
org.flag4j.concurrency - package org.flag4j.concurrency: Utilities, configurations, and management for multithreaded implementations.
org.flag4j.io - package org.flag4j.io: IO for vector, matrix, and tensor objects.
org.flag4j.io.parsing - package org.flag4j.io.parsing
org.flag4j.linalg - package org.flag4j.linalg
org.flag4j.linalg.decompositions - package org.flag4j.linalg.decompositions
org.flag4j.linalg.decompositions.balance - package org.flag4j.linalg.decompositions.balance
org.flag4j.linalg.decompositions.chol - package org.flag4j.linalg.decompositions.chol
org.flag4j.linalg.decompositions.hess - package org.flag4j.linalg.decompositions.hess
org.flag4j.linalg.decompositions.lu - package org.flag4j.linalg.decompositions.lu
org.flag4j.linalg.decompositions.qr - package org.flag4j.linalg.decompositions.qr
org.flag4j.linalg.decompositions.schur - package org.flag4j.linalg.decompositions.schur
org.flag4j.linalg.decompositions.svd - package org.flag4j.linalg.decompositions.svd
org.flag4j.linalg.decompositions.unitary - package org.flag4j.linalg.decompositions.unitary
org.flag4j.linalg.ops - package org.flag4j.linalg.ops
org.flag4j.linalg.ops.common - package org.flag4j.linalg.ops.common: This package contains ops which can be applied to both dense or sparse tensors.
org.flag4j.linalg.ops.common.complex - package org.flag4j.linalg.ops.common.complex
org.flag4j.linalg.ops.common.field_ops - package org.flag4j.linalg.ops.common.field_ops
org.flag4j.linalg.ops.common.real - package org.flag4j.linalg.ops.common.real
org.flag4j.linalg.ops.common.ring_ops - package org.flag4j.linalg.ops.common.ring_ops
org.flag4j.linalg.ops.common.semiring_ops - package org.flag4j.linalg.ops.common.semiring_ops
org.flag4j.linalg.ops.dense - package org.flag4j.linalg.ops.dense
org.flag4j.linalg.ops.dense_sparse.coo.field_ops - package org.flag4j.linalg.ops.dense_sparse.coo.field_ops
org.flag4j.linalg.ops.dense_sparse.coo.real - package org.flag4j.linalg.ops.dense_sparse.coo.real
org.flag4j.linalg.ops.dense_sparse.coo.real_complex - package org.flag4j.linalg.ops.dense_sparse.coo.real_complex
org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops - package org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops
org.flag4j.linalg.ops.dense_sparse.csr.field_ops - package org.flag4j.linalg.ops.dense_sparse.csr.field_ops
org.flag4j.linalg.ops.dense_sparse.csr.real - package org.flag4j.linalg.ops.dense_sparse.csr.real
org.flag4j.linalg.ops.dense_sparse.csr.real_complex - package org.flag4j.linalg.ops.dense_sparse.csr.real_complex
org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops - package org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops
org.flag4j.linalg.ops.dense_sparse.csr.semiring_ops - package org.flag4j.linalg.ops.dense_sparse.csr.semiring_ops
org.flag4j.linalg.ops.dense.complex - package org.flag4j.linalg.ops.dense.complex
org.flag4j.linalg.ops.dense.field_ops - package org.flag4j.linalg.ops.dense.field_ops
org.flag4j.linalg.ops.dense.real - package org.flag4j.linalg.ops.dense.real
org.flag4j.linalg.ops.dense.real_field_ops - package org.flag4j.linalg.ops.dense.real_field_ops
org.flag4j.linalg.ops.dense.ring_ops - package org.flag4j.linalg.ops.dense.ring_ops
org.flag4j.linalg.ops.dense.semiring_ops - package org.flag4j.linalg.ops.dense.semiring_ops
org.flag4j.linalg.ops.sparse - package org.flag4j.linalg.ops.sparse
org.flag4j.linalg.ops.sparse.coo - package org.flag4j.linalg.ops.sparse.coo
org.flag4j.linalg.ops.sparse.coo.real - package org.flag4j.linalg.ops.sparse.coo.real
org.flag4j.linalg.ops.sparse.coo.real_complex - package org.flag4j.linalg.ops.sparse.coo.real_complex
org.flag4j.linalg.ops.sparse.coo.ring_ops - package org.flag4j.linalg.ops.sparse.coo.ring_ops
org.flag4j.linalg.ops.sparse.coo.semiring_ops - package org.flag4j.linalg.ops.sparse.coo.semiring_ops
org.flag4j.linalg.ops.sparse.csr - package org.flag4j.linalg.ops.sparse.csr
org.flag4j.linalg.ops.sparse.csr.real - package org.flag4j.linalg.ops.sparse.csr.real
org.flag4j.linalg.ops.sparse.csr.real_complex - package org.flag4j.linalg.ops.sparse.csr.real_complex
org.flag4j.linalg.ops.sparse.csr.ring_ops - package org.flag4j.linalg.ops.sparse.csr.ring_ops
org.flag4j.linalg.ops.sparse.csr.semiring_ops - package org.flag4j.linalg.ops.sparse.csr.semiring_ops
org.flag4j.linalg.solvers - package org.flag4j.linalg.solvers
org.flag4j.linalg.solvers.exact - package org.flag4j.linalg.solvers.exact
org.flag4j.linalg.solvers.exact.triangular - package org.flag4j.linalg.solvers.exact.triangular
org.flag4j.linalg.solvers.lstsq - package org.flag4j.linalg.solvers.lstsq
org.flag4j.linalg.transformations - package org.flag4j.linalg.transformations
org.flag4j.rng - package org.flag4j.rng: This package contains classes for Pseudo-random generation of real/complex numbers, and arrays, vectors, matrices, and tensors.
org.flag4j.rng.distributions - package org.flag4j.rng.distributions: Distributions useful for repeated random sampling from the same distribution.
org.flag4j.util - package org.flag4j.util
org.flag4j.util.exceptions - package org.flag4j.util.exceptions
other - Variable in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
outer(Vector) - Method in class org.flag4j.arrays.dense.Vector: Computes the outer product of two vectors.
outer(CooVector) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the outer product of two vectors.
outer(T) - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Computes the outer product of two vectors.
outer(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Computes the outer product of two vectors.
outer(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Computes the outer product of two vectors.
outer(T) - Method in interface org.flag4j.arrays.backend.VectorMixin: Computes the outer product of two vectors.
outerProduct(double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseVectorOps: Computes the vector outer product between two real dense vectors.
outerProduct(double[], double[], int[], int) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseVectorOps: Computes the vector outer product between a real dense vector and a real sparse vector.
outerProduct(double[], int[], int, double[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseVectorOps: Computes the vector outer product between a real dense vector and a real sparse vector.
outerProduct(double[], int[], int, T[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Computes the vector outer product between a complex dense vector and a real sparse vector.
outerProduct(double[], T[], int[], int, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Computes the vector outer product between a real dense vector and a complex sparse vector.
outerProduct(double[], T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseVectorOps: Computes the vector outer product between two real dense vectors.
outerProduct(CooCVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseVectorOps: Computes the vector outer product between a complex sparse vector and a real sparse vector.
outerProduct(CooVector, CooCVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseVectorOps: Computes the vector outer product between a complex sparse vector and a real sparse vector.
outerProduct(CooVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooVectorOps: Computes the vector outer product between two real sparse vectors.
outerProduct(T[], double[], int[], int, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Computes the vector outer product between a complex dense vector and a real sparse vector.
outerProduct(T[], double[], T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseVectorOps: Computes the vector outer product between two real dense vectors.
outerProduct(T[], int[], int, double[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Computes the vector outer product between a rea; dense vector and a complex sparse vector.
outerProduct(T[], int[], int, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldVectorOps: Computes the vector outer product between a complex dense vector and a real sparse vector.
outerProduct(T[], int[], int, T[], int[], T[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringVectorOps: Computes the vector outer product between two sparse COO vectors.
outerProduct(T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingVectorOps: Computes the vector outer product between two real dense vectors.
outerProduct(T[], T[], int[], int, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldVectorOps: Computes the vector outer product between a complex dense vector and a real sparse vector.
outerProduct(T[], T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldVectorOps: Computes the vector outer product between two real dense vectors.
outerProduct(T[], T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringVectorOps: Computes the vector outer product between two real dense vectors.
outerProductConcurrent(double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseVectorOps: Computes the vector outer product between two real dense vectors.
outerProductConcurrent(T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingVectorOps: Computes the vector outer product between two real dense vectors using a concurrent implementation.
outerProductConcurrent(T[], T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldVectorOps: Computes the vector outer product between two real dense vectors using a concurrent implementation.
outerProductConcurrent(T[], T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringVectorOps: Computes the vector outer product between two real dense vectors using a concurrent implementation.
OVERFLOW_THRESH_F32 - Static variable in class org.flag4j.util.Flag4jConstants: Overflow threshold for 42-bit floating point values.
OVERFLOW_THRESH_F64 - Static variable in class org.flag4j.util.Flag4jConstants: Overflow threshold for 64-bit floating point values.
Overview - Search tag in class org.flag4j.linalg.MatrixNorms: Section

P

P - Variable in class org.flag4j.linalg.decompositions.lu.LU: Permutation matrix to store row swaps if partial pivoting is used.
Package Contents - Search tag in package org.flag4j.arrays.dense: Section
Pair<T,V> - Record Class in org.flag4j.arrays: Data record to store a pair of values (i.e., a 2-tuple).
Pair(T, V) - Constructor for record class org.flag4j.arrays.Pair: Creates an instance of a Pair record class.
parseHeader(String) - Static method in record class org.flag4j.io.MatrixMarketHeader: Parses a string representing the header of a Matrix Market file and stores in a MatrixMarketHeader object.
parseNumberToComplex128(String) - Static method in class org.flag4j.io.parsing.ComplexNumberParser: Parses a complex number in the form of a string into its real and imaginary parts.
parseNumberToComplex64(String) - Static method in class org.flag4j.io.parsing.ComplexNumberParser: Parses a complex number in the form of a string into its real and imaginary parts.
PARTIAL - Enum constant in enum class org.flag4j.linalg.decompositions.lu.LU.Pivoting
partialPivot() - Method in class org.flag4j.linalg.decompositions.lu.ComplexLU: Computes the LU decomposition using partial pivoting (i.e. row swapping).
partialPivot() - Method in class org.flag4j.linalg.decompositions.lu.FieldLU: Computes the LU decomposition using partial pivoting (i.e. row swapping).
partialPivot() - Method in class org.flag4j.linalg.decompositions.lu.LU: Computes the LU decomposition using partial pivoting (i.e. row swapping).
partialPivot() - Method in class org.flag4j.linalg.decompositions.lu.RealLU: Computes the LU decomposition using partial pivoting (i.e. row swapping).
performDoubleShift(int) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Performs a full iteration of the Francis implicit double shifted QR algorithm (this includes the bulge chase).
performDoubleShift(int) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Performs a full iteration of the Francis implicit double shifted QR algorithm (this includes the bulge chase).
performDoubleShift(int) - Method in class org.flag4j.linalg.decompositions.schur.Schur: Performs a full iteration of the Francis implicit double shifted QR algorithm (this includes the bulge chase).
performExceptionalShift(int) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Performs a full iteration of the single shifted QR algorithm (this includes the bulge chase) where the shift is chosen to be a random value with the same magnitude as the lower right element of the working matrix.
performExceptionalShift(int) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Performs a full iteration of the single shifted QR algorithm (this includes the bulge chase) where the shift is chosen to be a random value with the same magnitude as the lower right element of the working matrix.
performExceptionalShift(int) - Method in class org.flag4j.linalg.decompositions.schur.Schur: Performs a full iteration of the single shifted QR algorithm (this includes the bulge chase) where the shift is chosen to be a random value with the same magnitude as the lower right element of the working matrix.
performSingleShift(int, double) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Performs a full iteration of the implicit single shifted QR algorithm (this includes the bulge chase).
performSingleShift(int, Complex128) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Performs a full iteration of the implicit single shifted QR algorithm (this includes the bulge chase).
permutation - Variable in class org.flag4j.arrays.sparse.PermutationMatrix: Describes the permutation represented by this permutation matrix.
PermutationMatrix - Class in org.flag4j.arrays.sparse: Represents a square permutation matrix with rows and columns equal to PermutationMatrix.size, where each row and column contains exactly one entry of 1, and all other entries are 0.
PermutationMatrix(int) - Constructor for class org.flag4j.arrays.sparse.PermutationMatrix: Creates a permutation matrix which is equivalent to the identity matrix of the specified size.
PermutationMatrix(int...) - Constructor for class org.flag4j.arrays.sparse.PermutationMatrix: Constructs a permutation matrix from the specified permutation.
PermutationMatrix(int[], boolean) - Constructor for class org.flag4j.arrays.sparse.PermutationMatrix: Constructs a permutation matrix from the specified permutation.
PermutationMatrix(Shape) - Constructor for class org.flag4j.arrays.sparse.PermutationMatrix: Creates a permutation matrix which is equivalent to the identity matrix of the specified size.
PermutationMatrix(PermutationMatrix) - Constructor for class org.flag4j.arrays.sparse.PermutationMatrix: Copy constructor which creates a deep copy of the src permutation matrix.
permute(int[], int[]) - Static method in class org.flag4j.util.ArrayUtils: Swaps elements in an array according to a specified permutation.
permuteAxes(int...) - Method in class org.flag4j.arrays.Shape: Permutes the axes of this shape.
permuteRows(int[]) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Permutes rows of this permutation matrix.
permuteRows(CMatrix) - Method in class org.flag4j.linalg.solvers.exact.ComplexExactSolver: Permute the rows of a matrix using the row permutation matrix from the LU decomposition.
permuteRows(CVector) - Method in class org.flag4j.linalg.solvers.exact.ComplexExactSolver: Permute the rows of a vector using the row permutation matrix from the LU decomposition.
permuteRows(Matrix) - Method in class org.flag4j.linalg.solvers.exact.RealExactSolver: Permute the rows of a matrix using the row permutation matrix from the LU decomposition.
permuteRows(Vector) - Method in class org.flag4j.linalg.solvers.exact.RealExactSolver: Permute the rows of a vector using the row permutation matrix from the LU decomposition.
permuteRows(T) - Method in class org.flag4j.linalg.solvers.exact.ExactSolver: Permute the rows of a matrix using the row permutation matrix from the LU decomposition.
permuteRows(U) - Method in class org.flag4j.linalg.solvers.exact.ExactSolver: Permute the rows of a vector using the row permutation matrix from the LU decomposition.
permuteUnsafe(int[], int[]) - Static method in class org.flag4j.util.ArrayUtils: Swaps elements in an array according to a specified permutation.
PI - Static variable in class org.flag4j.algebraic_structures.RealFloat32: The numerical value representing pi (π), the ratio of the circumference of a circle to its diameter.
PI - Static variable in class org.flag4j.algebraic_structures.RealFloat64: The numerical value representing pi (π), the ratio of the circumference of a circle to its diameter.
pInv(CMatrix) - Static method in class org.flag4j.linalg.Invert: Computes the pseudo-inverse of this matrix.
pInv(Matrix) - Static method in class org.flag4j.linalg.Invert: Computes the pseudo-inverse of this matrix.
pivotFlag - Variable in class org.flag4j.linalg.decompositions.lu.LU: Flag indicating what pivoting to use.
POSITIVE_INFINITY - Static variable in class org.flag4j.algebraic_structures.Complex128: Complex number with real part equal to Double.POSITIVE_INFINITY.
POSITIVE_INFINITY - Static variable in class org.flag4j.algebraic_structures.Complex64: Complex number with real part equal to Float.POSITIVE_INFINITY.
PositiveDefiniteness - Class in org.flag4j.linalg: This class contains several methods for determining the positive definiteness of a matrix.
pow(double, Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Compute a raised to the power of b.
pow(float, Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Compute a raised to the power of b.
pow(int) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix multiplication of this matrix with itself n times.
pow(int) - Method in class org.flag4j.arrays.dense.FieldMatrix: Computes the matrix multiplication of this matrix with itself n times.
pow(int) - Method in class org.flag4j.arrays.dense.Matrix: Computes the matrix multiplication of this matrix with itself n times.
pow(int) - Method in class org.flag4j.arrays.dense.RingMatrix: Computes the matrix multiplication of this matrix with itself n times.
pow(int) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Computes the matrix multiplication of this matrix with itself n times.
pow(Complex128, double) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes a raised to the power of b.
pow(Complex128, Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Compute a raised to the power of b.
pow(Complex64, float) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes a raised to the power of b.
pow(Complex64, Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes a raised to the power of b.
PrettyPrint - Class in org.flag4j.io: Utility class for formatting arrays as ★★pretty★★ human-readable strings.
PrintOptions - Class in org.flag4j.io: Printing and formating options for tensors, matrices, and vectors.
prod() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Computes the product of all values in this tensor (or non-zero values if this tensor is sparse).
prod() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Computes the product of all values in this tensor.
prod() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Computes the product of all values in this tensor (or non-zero values if this tensor is sparse).
prod() - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Computes the product of all values in this tensor (or non-zero values if this tensor is sparse).
prod() - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Computes the product of all values in this tensor.
prod() - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the product of all non-zero values in this tensor.
prod() - Method in class org.flag4j.arrays.sparse.CooTensor: Computes the product of all non-zero values in this tensor.
prod() - Method in class org.flag4j.arrays.sparse.CooVector: Computes the product of all non-zero values in this tensor.
prod(double...) - Static method in class org.flag4j.linalg.ops.common.real.AggregateReal: Computes the sum of all data in this tensor.
prod(double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Multiplies all data in a tensor.
prod(int[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Multiplies all data in a tensor.
prod(RealFloat32...) - Static method in class org.flag4j.algebraic_structures.RealFloat32: Computes the product of all data of specified array.
prod(RealFloat64...) - Static method in class org.flag4j.algebraic_structures.RealFloat64: Computes the product of all data of specified array.
prod(T...) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.AggregateSemiring: Computes the sum of all data in this tensor.
Projection - Class in org.flag4j.linalg.transformations: A utility class for generating projection matrices used in 3D graphics transformations.
putBackSymbol(int) - Method in class org.flag4j.io.parsing.Lexer: Replaces unneeded symbol back into content string.

Q

Q - Variable in class org.flag4j.linalg.decompositions.lu.LU: Permutation matrix to store column swaps if full pivoting is used.
qFactors - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Storage of the scalar factors for the HouseholderOld reflectors used in the decomposition.
Qh - Variable in class org.flag4j.linalg.solvers.lstsq.LstsqSolver: Q The Hermitian transpose of the orthonormal matrix from the QR decomposition.
qr - Variable in class org.flag4j.linalg.solvers.lstsq.LstsqSolver: Decomposer to compute the QR decomposition for using the least-squares solver.

R

R - Variable in class org.flag4j.linalg.solvers.lstsq.LstsqSolver: R The upper triangular matrix from the QR decomposition.
randnCMatrix(Shape) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a matrix filled with pseudorandom values sampled from a bivariate standard Gaussian (normal) distribution with mean zero and standard deviation one along both the real and imaginary axes.
randnCMatrix(Shape, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a matrix filled with pseudorandom values sampled from a bivariate Gaussian (normal) distribution with specified mean and standard deviation along both the real and imaginary axes.
randnCMatrix(Shape, double, double, double, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a matrix filled with pseudorandom values sampled from a bivariate Gaussian (normal) distribution.
randnComplex128() - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number sampled from a 2D circular standard Gaussian (normal) distribution on the complex plain.
randnComplex128(double, double) - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number sampled from a 2D circular Gaussian (normal) distribution on the complex plain.
randnComplex128(double, double, double, double) - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number sampled from a 2D elliptical Gaussian (normal) distribution on the complex plain.
randnComplex128(double, double, double, double, double) - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number sampled from a bivariate Gaussian (normal) distribution on the complex plain.
randnComplex64() - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number sampled from a 2D circular standard Gaussian (normal) distribution on the complex plain.
randnComplex64(float, float) - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number sampled from a 2D circular Gaussian (normal) distribution on the complex plain.
randnComplex64(float, float, float, float) - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number sampled from a 2D elliptical Gaussian (normal) distribution on the complex plain.
randnComplex64(float, float, float, float, float) - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number sampled from a bivariate Gaussian (normal) distribution on the complex plain.
randnCTensor(Shape) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a tensor filled with pseudorandom values sampled from a bivariate standard Gaussian (normal) distribution with mean zero and standard deviation one along both the real and imaginary axes.
randnCTensor(Shape, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a tensor filled with pseudorandom values sampled from a bivariate Gaussian (normal) distribution with specified mean and standard deviation along both the real and imaginary axes.
randnCTensor(Shape, double, double, double, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a tensor filled with pseudorandom values sampled from a bivariate Gaussian (normal) distribution.
randnCVector(int) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a vector filled with pseudorandom values sampled from a bivariate standard Gaussian (normal) distribution with mean zero and standard deviation one along both the real and imaginary axes.
randnCVector(int, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a vector filled with pseudorandom values sampled from a bivariate Gaussian (normal) distribution with specified mean and standard deviation along both the real and imaginary axes.
randnCVector(int, double, double, double, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a vector filled with pseudorandom values sampled from a bivariate Gaussian (normal) distribution.
randnMatrix(Shape) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a matrix filled with pseudorandom values sampled from a normal distribution with mean of 0.0 and standard deviation of 1.0.
randnMatrix(Shape, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a matrix filled with pseudorandom values sampled from a normal distribution with specified mean and standard deviation.
randnTensor(Shape) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a tensor filled with pseudorandom values sampled from a normal distribution with mean of 0.0 and standard deviation of 1.0.
randnTensor(Shape, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a tensor filled with pseudorandom values sampled from a normal distribution with specified mean and standard deviation.
randnVector(int) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a vector filled with pseudorandom values sampled from a normal distribution with mean of 0.0 and standard deviation of 1.0.
randnVector(int, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a vector filled with pseudorandom values sampled from a normal distribution with specified mean and standard deviation.
RandomArray - Class in org.flag4j.rng
RandomArray() - Constructor for class org.flag4j.rng.RandomArray: Creates a RandomArrayOld object to generate arrays filled with random values using a default random number generator.
RandomArray(RandomComplex) - Constructor for class org.flag4j.rng.RandomArray: Creates a RandomArrayOld object to generate arrays filled with random values using the specified complex random number generator.
randomCartComplex64() - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number distributed uniformly in the unit square on the complex plane centered at (0.0, 0.0).
randomCartComplex64(float, float, float, float) - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number distributed uniformly in a rectangle on the complex plane.
randomCMatrix(Shape) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a matrix filled with pseudorandom complex values uniformly distributed in the unit disk centered at the origin of the complex plane.
randomCMatrix(Shape, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a matrix filled with pseudorandom complex values uniformly distributed in an annulus (i.e. washer) centered at the origin of the complex plane.
RandomComplex - Class in org.flag4j.rng: The RandomComplex class provides methods to generate pseudorandom complex numbers under a variety of distributions and constraints.
RandomComplex() - Constructor for class org.flag4j.rng.RandomComplex: Constructs a complex value random number generator.
RandomComplex(long) - Constructor for class org.flag4j.rng.RandomComplex: Constructs a complex value random number generator.
randomComplex128() - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number which is uniformly distributed on the unit disk within the complex plane.
randomComplex128(double) - Method in class org.flag4j.rng.RandomComplex: Generates pseudorandom complex number with specified magnitude which is uniformly distributed around the origin.
randomComplex128(double, double) - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number with magnitude in [min, max) which is uniformly distributed in the annulus (i.e. washer) with minimum and maximum radii equal to min and max respectively.
randomComplex64() - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number which is uniformly distributed on the unit disk within the complex plane.
randomComplex64(float) - Method in class org.flag4j.rng.RandomComplex: Generates pseudorandom complex number with specified magnitude which is uniformly distributed around the origin.
randomComplex64(float, float) - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number with magnitude in [min, max) which is uniformly distributed in the annulus (i.e. washer) with minimum and maximum radii equal to min and max respectively.
randomCooMatrix(int, int, double, double, double) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified sparsity.
randomCooMatrix(int, int, double, double, int) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified number of non-zero data.
randomCooMatrix(Shape, double, double, double) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified sparsity.
randomCooMatrix(Shape, double, double, int) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified number of non-zero data.
randomCsrMatrix(int, int, double, double, double) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified sparsity.
randomCsrMatrix(int, int, double, double, int) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified number of non-zero data.
randomCsrMatrix(Shape, double, double, double) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified sparsity.
randomCsrMatrix(Shape, double, double, int) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified number of non-zero data.
randomCTensor(Shape) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a tensor filled with pseudorandom complex values uniformly distributed in the unit disk centered at the origin of the complex plane.
randomCTensor(Shape, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a tensor filled with pseudorandom complex values uniformly distributed in an annulus (i.e. washer) centered at the origin of the complex plane.
randomCVector(int) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a vector filled with pseudorandom complex values uniformly distributed in the unit disk centered at the origin of the complex plane.
randomCVector(int, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a vector filled with pseudorandom complex values uniformly distributed in an annulus (i.e. washer) centered at the origin of the complex plane.
RandomDenseTensor - Class in org.flag4j.rng: A utility class for generating random dense tensors, matrices, and vectors with customizable distributions.
RandomDenseTensor() - Constructor for class org.flag4j.rng.RandomDenseTensor: Constructs a new pseudorandom tensor generator with a seed which is unlikely to be the same as other from any other invocation of this constructor.
RandomDenseTensor(long) - Constructor for class org.flag4j.rng.RandomDenseTensor: Constructs a pseudorandom tensor generator with a specified seed.
randomDiagMatrix(int, int, int) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a random diagonal matrix whose diagonal entries are uniformly distributed in [min, max).
randomFill(double[], Distribution<Double, Random>) - Static method in class org.flag4j.rng.RandomArray: Fills an array with pseudorandom values sampled from the specified distribution.
randomFill(int[], Distribution<Integer, Random>) - Static method in class org.flag4j.rng.RandomArray: Fills an array with pseudorandom values sampled from the specified distribution.
randomFill(Complex128[], Distribution<Complex128, RandomComplex>) - Static method in class org.flag4j.rng.RandomArray: Fills an array with pseudorandom values sampled from the specified distribution.
randomFill(Complex64[], Distribution<Complex64, RandomComplex>) - Static method in class org.flag4j.rng.RandomArray: Fills an array with pseudorandom values sampled from the specified distribution.
randomHermPosDefMatrix(int) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a pseudorandom symmetric positive definite matrix.
randomMatrix(Shape) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a matrix filled with pseudorandom values uniformly distributed in [0, 1).
randomMatrix(Shape, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a matrix filled with pseudorandom values uniformly distributed in [min, max).
randomOrthogonalMatrix(int) - Method in class org.flag4j.rng.RandomDenseTensor: Gets a pseudorandom orthogonal matrix.
randomRectComplex128() - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number distributed uniformly in the unit square on the complex plane centered at (0.0, 0.0).
randomRectComplex128(double, double, double, double) - Method in class org.flag4j.rng.RandomComplex: Generates a pseudorandom complex number distributed uniformly in a rectangle on the complex plane.
randomSparseCMatrix(int, int, double, double, double) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified sparsity.
randomSparseCMatrix(int, int, double, double, int) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified number of non-zero data.
randomSparseCMatrix(Shape, double, double, double) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified sparsity.
randomSparseCMatrix(Shape, double, double, int) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a random sparse matrix with the specified number of non-zero data.
RandomSparseTensor - Class in org.flag4j.rng: A utility class for generating random sparse tensors and matrices with customizable sparsity and distributions.
RandomSparseTensor() - Constructor for class org.flag4j.rng.RandomSparseTensor: Constructs a new pseudorandom tensor generator with a seed which is unlikely to be the same as other from any other invocation of this constructor.
RandomSparseTensor(long) - Constructor for class org.flag4j.rng.RandomSparseTensor: Constructs a pseudorandom tensor generator with a specified seed.
randomSymmetricCooMatrix(int, int, int, double) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a symmetric COO matrix filled with pseudorandom values uniformly distributed in [min, max).
randomSymmetricCsrMatrix(int, int, int, double) - Method in class org.flag4j.rng.RandomSparseTensor: Generates a symmetric CSR matrix filled with pseudorandom values uniformly distributed in [min, max).
randomSymmetricMatrix(int) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a symmetric matrix filled with pseudorandom values uniformly distributed in [0, 1).
randomSymmPosDefMatrix(int) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a pseudorandom symmetric positive definite matrix.
randomTensor(Shape) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a tensor filled with pseudorandom values uniformly distributed in [0, 1).
randomTensor(Shape, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a tensor filled with pseudorandom values uniformly distributed in [min, max).
randomTrilMatrix(int, int, int) - Method in class org.flag4j.rng.RandomDenseTensor: Gets a pseudorandom lower triangular matrix of the specified size.
randomTriuMatrix(int, int, int) - Method in class org.flag4j.rng.RandomDenseTensor: Gets a pseudorandom upper triangular matrix of the specified size.
randomUniqueIndices(int, int, int) - Method in class org.flag4j.rng.RandomArray: Creates unique indices in [start, end).
randomUniqueIndices2D(int, int, int, int, int) - Method in class org.flag4j.rng.RandomArray: Creates a list of unique two-dimensional indices.
randomUnitaryMatrix(int) - Method in class org.flag4j.rng.RandomDenseTensor: Gets a pseudorandom unitary matrix.
randomVector(int) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a vector filled with pseudorandom values uniformly distributed in [0, 1).
randomVector(int, double, double) - Method in class org.flag4j.rng.RandomDenseTensor: Generates a vector filled with pseudorandom values uniformly distributed in [min, max).
range(int, int) - Static method in class org.flag4j.util.ArrayBuilder: Gets an array filled with integers from start (inclusive) to end (exclusive)
rank - Variable in class org.flag4j.arrays.backend.AbstractTensor: The rank of this tensor.
rank - Variable in class org.flag4j.linalg.decompositions.svd.SVD: The rank of the matrix being decomposed.
RANK_CONDITION - Static variable in class org.flag4j.linalg.solvers.exact.triangular.BackSolver: Threshold for determining if a determinant is to be considered zero when checking if the coefficient matrix is full rank.
RANK_CONDITION - Static variable in class org.flag4j.linalg.solvers.exact.triangular.ForwardSolver: Threshold for determining if a determinant is to be considered zero when checking if the coefficient matrix is full rank.
re - Variable in class org.flag4j.algebraic_structures.Complex128: Real component of the complex number.
re - Variable in class org.flag4j.algebraic_structures.Complex64: Real component of the complex number.
re() - Method in class org.flag4j.algebraic_structures.Complex128: Gets the real component of this complex number.
re() - Method in class org.flag4j.algebraic_structures.Complex64: Gets the real component of this complex number.
read(String) - Method in class org.flag4j.io.MatrixMarketReader: Loads Matrix Market data from the file specified on instantiation of this MatrixMarketReader.
read(String) - Static method in class org.flag4j.io.TensorReader: Reads a serialized AbstractTensor from a specified file using a ObjectInputStream.
REAL - Enum constant in enum class org.flag4j.io.MatrixMarketHeader.MMField
real2ComplexSchur() - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur
real2ComplexSchur() - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Converts the real schur form computed in the last decomposition to the complex Schur form.
RealBackSolver - Class in org.flag4j.linalg.solvers.exact.triangular: This solver solves linear systems of equations where the coefficient matrix in an upper triangular real dense matrix and the constant vector is a real dense vector or matrix.
RealBackSolver() - Constructor for class org.flag4j.linalg.solvers.exact.triangular.RealBackSolver: Creates a solver for solving linear systems for upper triangular coefficient matrices.
RealBackSolver(boolean) - Constructor for class org.flag4j.linalg.solvers.exact.triangular.RealBackSolver: Creates a solver for solving linear systems for upper triangular coefficient matrices.
RealBalancer - Class in org.flag4j.linalg.decompositions.balance: Instances of this class may be used to balance real dense matrices.
RealBalancer() - Constructor for class org.flag4j.linalg.decompositions.balance.RealBalancer: Constructs a real balancer which will perform both the permutations and scaling steps out-of-place.
RealBalancer(boolean, boolean) - Constructor for class org.flag4j.linalg.decompositions.balance.RealBalancer: Constructs a real balancer optionally performing the permutation and scaling steps out-of-place.
RealBalancer(boolean, boolean, boolean) - Constructor for class org.flag4j.linalg.decompositions.balance.RealBalancer: Constructs a real balancer optionally performing the permutation and scaling steps in/out-of-place.
RealCholesky - Class in org.flag4j.linalg.decompositions.chol: An instance of this class allows for the computation of a Cholesky decomposition for a real dense matrix.
RealCholesky() - Constructor for class org.flag4j.linalg.decompositions.chol.RealCholesky: Constructs a Cholesky decomposer.
RealCholesky(boolean) - Constructor for class org.flag4j.linalg.decompositions.chol.RealCholesky: Constructs a Cholesky decomposer.
RealComplexCooConcats - Class in org.flag4j.linalg.ops.sparse.coo.real_complex: This utility class contains implementations for ops which concatenate sparse COO matrices and vectors.
RealComplexCooTensorOps - Class in org.flag4j.linalg.ops.sparse.coo.real_complex: Utility class for computing ops between a complex sparse COO tensor and a real coo tensor.
RealComplexCsrDenseOps - Class in org.flag4j.linalg.ops.dense_sparse.csr.real_complex: This class contains low-level ops which act on a real/complex dense and a complex/real sparse CSR matrix.
RealComplexCsrMatMult - Class in org.flag4j.linalg.ops.sparse.csr.real_complex: This class provides low-level implementation of matrix multiplication between a real CSR matrix and a complex CSR matrix.
RealComplexCsrOps - Class in org.flag4j.linalg.ops.sparse.csr.real_complex: This class contains low-level implementations for element-wise ops on real/complex CSR matrices.
RealComplexDenseCooMatOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.real_complex: This class contains low level implementations of ops between real/complex and dense/sparse matrices.
RealComplexDenseCooOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.real_complex: This class contains methods to apply common binary ops to a real/complex dense matrix and to a complex/real sparse matrix.
RealComplexDenseSparseEquals - Class in org.flag4j.linalg.ops.dense_sparse.coo.real_complex: This class contains methods for checking the equality of real dense/sparse and complex dense/sparse tensors.
RealComplexDenseSparseVectorOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.real_complex: This class provides low level methods for computing ops between a real/complex dense/sparse vector and a complex/real sparse/dense vector.
RealComplexSparseEquals - Class in org.flag4j.linalg.ops.sparse.coo.real_complex: This class contains methods for checking the equality of real/complex sparse tensors.
RealComplexSparseMatOps - Class in org.flag4j.linalg.ops.sparse.coo.real_complex: This class has low level implementations for ops between a real sparse matrix and a complex sparse matrix.
RealComplexSparseMatrixMultiplication - Class in org.flag4j.linalg.ops.sparse.coo.real_complex: This class contains low level methods for computing the multiplication between a real/complex matrix and a complex/real matrix/vector.
RealComplexSparseVectorOps - Class in org.flag4j.linalg.ops.sparse.coo.real_complex: This class contains low level implementations of ops on a real sparse tensor and a complex sparse tensor.
RealCooMatrixGetSet - Class in org.flag4j.linalg.ops.sparse.coo.real: This class provides methods for getting and setting elements and slices from/to a real sparse matrix.
RealCooTensorDot - Class in org.flag4j.linalg.ops.sparse.coo.real: Utility class for computing tensor dot products between two real sparse COO tensors.
RealCooTensorOps - Class in org.flag4j.linalg.ops.sparse.coo.real: Utility class for computing ops between two real sparse COO tensors backed by a primitive double array.
RealCooVectorOps - Class in org.flag4j.linalg.ops.sparse.coo.real: This class contains low level implementations for ops on a real sparse COO vector.
RealCsrDenseMatrixMultiplication - Class in org.flag4j.linalg.ops.dense_sparse.csr.real: This class contains low-level implementations of real sparse-dense matrix multiplication where the sparse matrix is in CSR format.
RealCsrDenseOps - Class in org.flag4j.linalg.ops.dense_sparse.csr.real: This class contains low-level ops which act on a real dense and a real sparse CSR matrix.
RealCsrEquals - Class in org.flag4j.linalg.ops.sparse.csr.real: This class contains methods to check equality or approximate equality between two sparse CSR matrices.
RealCsrManipulations - Class in org.flag4j.linalg.ops.sparse.csr.real: Utility class for manipulating real sparse CSR matrices (e.g. row swaps, column swaps, etc.).
RealCsrMatMult - Class in org.flag4j.linalg.ops.sparse.csr.real: This class provides low-level implementation of matrix multiplication between two real CSR matrices.
RealCsrMatrixTensorDot - Class in org.flag4j.linalg.ops.sparse.csr.real: This utility class provides implementations for tensor dot products on two real sparse CSR matrices.
RealCsrOps - Class in org.flag4j.linalg.ops.sparse.csr.real: This utility class contains low-level implementations for operations on real CSR matrices.
RealCsrProperties - Class in org.flag4j.linalg.ops.sparse.csr.real: This class contains low-level implementations for evaluating properties of real sparse CSR matrices.
RealDenseCooTensorOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.real: This class contains methods to apply common binary ops to a real dense matrix and to a real sparse matrix.
RealDenseDeterminant - Class in org.flag4j.linalg.ops.dense.real: This class contains methods for computing the determinant of a real dense matrix.
RealDenseElemDiv - Class in org.flag4j.linalg.ops.dense.real: This class contains low level implementations of element-wise division algorithms for real dense tensors.
RealDenseElemMult - Class in org.flag4j.linalg.ops.dense.real: This class contains low level implementations of element-wise multiplications algorithms for real dense tensors.
RealDenseEquals - Class in org.flag4j.linalg.ops.dense.real: This class provides methods for checking the equality of real dense tensors.
RealDenseMatMult - Class in org.flag4j.linalg.ops.dense.real: This class contains several low level methods for computing matrix-matrix multiplications.
RealDenseMatMultTranspose - Class in org.flag4j.linalg.ops.dense.real: This class contains several low level methods for computing matrix-matrix multiplications with a transpose for two real dense matrices.
RealDenseMatrixMultiplyDispatcher - Class in org.flag4j.linalg.ops: Singleton class which stores a map of all viable real dense matrix multiply algorithms and uses that map to dispatch a real dense matrix multiply problem to the appropriate algorithm.
RealDenseMatrixMultiplyDispatcher.AlgorithmNames - Enum Class in org.flag4j.linalg.ops: Simple enum class containing all possible choices of real dense matrix multiply algorithms.
RealDenseOps - Class in org.flag4j.linalg.ops.dense.real: This class provides low level methods for computing ops on real dense tensors.
RealDenseProperties - Class in org.flag4j.linalg.ops.dense.real: This class contains low-level implementations for ops which check if a tensor satisfies some property.
RealDenseSetOps - Class in org.flag4j.linalg.ops.dense.real: This class contains low-level implementations of setting ops for real dense tensors.
RealDenseSetOps() - Constructor for class org.flag4j.linalg.ops.dense.real.RealDenseSetOps
RealDenseSparseEquals - Class in org.flag4j.linalg.ops.dense_sparse.coo.real: This class contains methods for checking the equality of a real dense and real sparse tensors.
RealDenseSparseMatMult - Class in org.flag4j.linalg.ops.dense_sparse.coo.real: This class contains low level methods for computing the matrix multiplication (and matrix vector multiplication) between a real dense/sparse matrix and a real sparse/dense matrix or vector.
RealDenseSparseMatrixMultTranspose - Class in org.flag4j.linalg.ops.dense_sparse.coo.real: This class contains several low level methods for computing matrix-matrix multiplications with a transpose for a real dense matrix and a real sparse matrix.
RealDenseSparseMatrixOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.real: This class contains low-level ops between a real dense and real sparse matrix.
RealDenseSparseVectorOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.real: This class provides low level methods for computing ops between a real dense/sparse vector and a real sparse/dense vector.
RealDenseTensorBinaryOperation - Interface in org.flag4j.linalg.ops: Functional interface for creating a lambda which implements an operation acting on two real dense tensors.
RealDenseTensorDot - Class in org.flag4j.linalg.ops.dense.real: Instances of this class can be used to compute the tensor dot product between two real dense primitive double tensors.
RealDenseTensorDot(Shape, double[], Shape, double[], int[], int[]) - Constructor for class org.flag4j.linalg.ops.dense.real.RealDenseTensorDot: Constructs a tensor dot product problem for computing the tensor contraction of two tensors over the specified set of axes.
RealDenseTranspose - Class in org.flag4j.linalg.ops.dense.real: This class contains several low-level algorithms for computing the transpose of real dense tensors.
RealDenseVectorOps - Class in org.flag4j.linalg.ops.dense.real: This class provides low level implementations for several vector operation.
RealExactSolver - Class in org.flag4j.linalg.solvers.exact: Solver for solving a well determined system of linear equations in an exact sense using the LU decomposition.
RealExactSolver() - Constructor for class org.flag4j.linalg.solvers.exact.RealExactSolver: Constructs an exact LU solver where the coefficient matrix is real dense.
RealExactTensorSolver - Class in org.flag4j.linalg.solvers.exact: Solver for solving a real well determined linear tensor equation A*X=B in an exact sense.
RealExactTensorSolver() - Constructor for class org.flag4j.linalg.solvers.exact.RealExactTensorSolver: Creates an exact tensor solver for solving a well determined linear tensor equation A*X=B for X in an exact sense.
RealFieldDenseCooMatMult - Class in org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops: This class contains low level methods for computing the matrix multiplication (and matrix vector multiplication) between a real dense/sparse matrix and a sparse/dense field matrix/vector.
RealFieldDenseCooMatMultTranspose - Class in org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops: This class contains several low level methods for computing matrix-matrix multiplications with a transpose for a real/field and sparse/dense matrix.
RealFieldDenseCooMatrixOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops: This class contains low level implementations of ops between real/field and dense/sparse matrices.
RealFieldDenseCooOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops: This class contains methods to apply common binary ops to a real/field dense matrix and to a field/real sparse matrix.
RealFieldDenseCooVectorOps - Class in org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops: This class provides low level methods for computing ops between a real/field dense/sparse vector and a field/real sparse/dense vector.
RealFieldDenseCsrMatMult - Class in org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops: This class contains low-level implementations of real-complex sparse-dense matrix multiplication where the sparse matrix is in CSR format.
RealFieldDenseCsrOps - Class in org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops: This class contains low-level ops which act on a real/complex dense and a complex/real sparse CSR matrix.
RealFieldDenseElemDiv - Class in org.flag4j.linalg.ops.dense.real_field_ops: This class contains low-level implementations of element-wise tensor division for a dense real and dense field tensor.
RealFieldDenseElemMult - Class in org.flag4j.linalg.ops.dense.real_field_ops: This class contains low-level implementations of element-wise tensor multiplication for a dense real and dense field tensor.
RealFieldDenseEquals - Class in org.flag4j.linalg.ops.dense.real_field_ops: This class provides methods for checking the equality of one dense real and one dense field tensors.
RealFieldDenseMatMult - Class in org.flag4j.linalg.ops.dense.real_field_ops: This class contains several low level methods for computing dense matrix-matrix multiplications between one field matrix and one real matrix.
RealFieldDenseMatMultTranspose - Class in org.flag4j.linalg.ops.dense.real_field_ops: This class contains several low level methods for computing matrix-matrix multiplications with a transpose for a real dense matrix and a dense field matrix.
RealFieldDenseOps - Class in org.flag4j.linalg.ops.dense.real_field_ops: This class provides low level methods for computing ops with at least one real tensor and at least one field tensor.
RealFieldDenseVectorOps - Class in org.flag4j.linalg.ops.dense.real_field_ops: This class provides low level implementations for vector ops with one dense real vector and one dense field vector.
RealFloat32 - Class in org.flag4j.algebraic_structures: Represents an immutable real number backed by a 32-bit floating-point value.
RealFloat32(float) - Constructor for class org.flag4j.algebraic_structures.RealFloat32: Constructs a real 32-bit floating point number.
RealFloat32(RealFloat64) - Constructor for class org.flag4j.algebraic_structures.RealFloat32: Constructs a real 32-bit floating point number by casting a real 64-bit floating point.
RealFloat64 - Class in org.flag4j.algebraic_structures: Represents an immutable real number backed by a 64-bit floating-point value.
RealFloat64(double) - Constructor for class org.flag4j.algebraic_structures.RealFloat64: Constructs a new RealFloat64 instance with the specified double value.
RealFloat64(RealFloat32) - Constructor for class org.flag4j.algebraic_structures.RealFloat64: Constructs a new RealFloat64 instance with the specified RealFloat32 value.
RealForwardSolver - Class in org.flag4j.linalg.solvers.exact.triangular: This solver solves linear systems of equations where the coefficient matrix in a lower triangular real dense matrix and the constant vector is a real dense vector.
RealForwardSolver() - Constructor for class org.flag4j.linalg.solvers.exact.triangular.RealForwardSolver: Creates a solver to solve a linear system where the coefficient matrix is lower triangular.
RealForwardSolver(boolean) - Constructor for class org.flag4j.linalg.solvers.exact.triangular.RealForwardSolver: Creates a solver to solve a linear system where the coefficient matrix is lower triangular or unit lower triangular.
RealForwardSolver(boolean, boolean) - Constructor for class org.flag4j.linalg.solvers.exact.triangular.RealForwardSolver: Creates a solver to solve a linear system where the coefficient matrix is lower triangular or unit lower triangular.
RealGaussian - Class in org.flag4j.rng.distributions: A real Gaussian (e.g. normal) distribution.
RealGaussian(RandomComplex, double, double) - Constructor for class org.flag4j.rng.distributions.RealGaussian: Constructs a real Gaussian distribution.
RealHess - Class in org.flag4j.linalg.decompositions.hess: Computes the Hessenburg decomposition of a real dense square matrix.
RealHess() - Constructor for class org.flag4j.linalg.decompositions.hess.RealHess: Creates a real Hessenburg decomposer which will reduce the matrix to an upper quasi-triangular matrix which is has zeros below the first sub-diagonal.
RealHess(boolean) - Constructor for class org.flag4j.linalg.decompositions.hess.RealHess: Creates a real Hessenburg decomposer which will reduce the matrix to an upper quasi-triangular matrix which is has zeros below the first sub-diagonal.
RealInt16 - Class in org.flag4j.algebraic_structures: A real number backed by a 16-bit integer number.
RealInt16(short) - Constructor for class org.flag4j.algebraic_structures.RealInt16: Constructs a real 16-bit integer number.
RealInt32 - Class in org.flag4j.algebraic_structures: A real number backed by a 32-bit integer number.
RealInt32(int) - Constructor for class org.flag4j.algebraic_structures.RealInt32: Constructs a real 32-bit floating point number.
RealInt32(RealInt16) - Constructor for class org.flag4j.algebraic_structures.RealInt32: Constructs a real 32-bit integer number from a RealInt16.
RealLstsqSolver - Class in org.flag4j.linalg.solvers.lstsq: This class solves a linear system of equations Ax=b in a least-squares sense.
RealLstsqSolver() - Constructor for class org.flag4j.linalg.solvers.lstsq.RealLstsqSolver: Constructs a least-squares solver to solve a system Ax=b in a least square sense.
RealLU - Class in org.flag4j.linalg.decompositions.lu: This class provides methods for computing the LU decomposition of a real dense matrix.
RealLU() - Constructor for class org.flag4j.linalg.decompositions.lu.RealLU: Constructs a LU decomposer to decompose the specified matrix using partial pivoting.
RealLU(LU.Pivoting) - Constructor for class org.flag4j.linalg.decompositions.lu.RealLU: Constructs a LU decomposer to decompose the specified matrix.
RealLU(LU.Pivoting, double) - Constructor for class org.flag4j.linalg.decompositions.lu.RealLU: Constructs a LU decomposer to decompose the specified matrix.
RealOps - Class in org.flag4j.linalg.ops.common.real: This class provides low level methods for computing ops on real tensors.
RealProperties - Class in org.flag4j.linalg.ops.common.real: This class provides low level methods for checking tensor properties.
RealQR - Class in org.flag4j.linalg.decompositions.qr: Instances of this class compute the QR decomposition of a real dense matrix.
RealQR() - Constructor for class org.flag4j.linalg.decompositions.qr.RealQR: Creates a QR decomposer.
RealQR(boolean) - Constructor for class org.flag4j.linalg.decompositions.qr.RealQR: Creates a QR decomposer to compute either the full or reduced QR decomposition.
RealSchur - Class in org.flag4j.linalg.decompositions.schur: This class computes the Schur decomposition of a real dense square matrix.
RealSchur() - Constructor for class org.flag4j.linalg.decompositions.schur.RealSchur: Creates a decomposer to compute the Schur decomposition for a real dense matrix.
RealSchur(boolean) - Constructor for class org.flag4j.linalg.decompositions.schur.RealSchur: Creates a decomposer to compute the Schur decomposition for a real dense matrix where the U matrix may or may not be computed.
RealSchur(boolean, long) - Constructor for class org.flag4j.linalg.decompositions.schur.RealSchur: Creates a decomposer to compute the Schur decomposition for a real dense matrix.
RealSchur(long) - Constructor for class org.flag4j.linalg.decompositions.schur.RealSchur: Creates a decomposer to compute the Schur decomposition for a real dense matrix.
RealSparseEquals - Class in org.flag4j.linalg.ops.sparse.coo.real: This class contains methods for checking the equality of real sparse tensors.
RealSparseManipulations - Class in org.flag4j.linalg.ops.sparse.coo.real: This utility class provides methods for inserting/removing values in a real sparse vector.
RealSparseMatMult - Class in org.flag4j.linalg.ops.sparse.coo.real: This class contains low level implementations of matrix multiplication for real sparse matrices.
RealSparseMatrixManipulations - Class in org.flag4j.linalg.ops.sparse.coo.real: This utility class contains implementations for real sparse COO matrix manipulations.
RealSparseMatrixOps - Class in org.flag4j.linalg.ops.sparse.coo.real: This class has low level implementations for ops between two real sparse matrices.
RealSparseMatrixProperties - Class in org.flag4j.linalg.ops.sparse.coo.real: This class contains low level implementations for methods to evaluate certain properties of a real sparse matrix.
RealSparseNorms - Class in org.flag4j.linalg.ops.sparse.coo.real: This class contains low level implementations of norms for tensors, matrices and vector.
RealSVD - Class in org.flag4j.linalg.decompositions.svd: Instances of this class can be used to compute the singular value decomposition (SVD) of a real dense matrix.
RealSVD() - Constructor for class org.flag4j.linalg.decompositions.svd.RealSVD: Creates a decomposer to compute the singular value decomposition of a real matrix.
RealSVD(boolean) - Constructor for class org.flag4j.linalg.decompositions.svd.RealSVD: Creates a decomposer to compute the singular value decomposition of a real matrix.
RealSVD(boolean, boolean) - Constructor for class org.flag4j.linalg.decompositions.svd.RealSVD: Creates a decomposer to compute the singular value decomposition of a real matrix.
RealUniform - Class in org.flag4j.rng.distributions: A uniform real distribution.
RealUniform(RandomComplex, double, double) - Constructor for class org.flag4j.rng.distributions.RealUniform: Constructs a real uniform distribution.
RealUnitaryDecomposition - Class in org.flag4j.linalg.decompositions.unitary: This class is the base class for real matrix decompositions which proceed by using unitary/orthogonal transformations (specifically HouseholderOld reflectors) to bring a matrix into an upper triangular/Hessenburg matrix.
RealUnitaryDecomposition(int) - Constructor for class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: Creates a real unitary decomposer which will reduce the matrix to an upper triangular/Hessenburg matrix which is has zeros below the specified sub-diagonal.
RealUnitaryDecomposition(int, boolean) - Constructor for class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: Creates a real unitary decomposer which will reduce the matrix to an upper triangular/Hessenburg matrix which has zeros below the specified sub-diagonal (must be 0 or 1).
recip() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Computes the element-wise reciprocals of this tensor.
recip() - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Computes the element-wise reciprocals of this tensor.
recip() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Computes the element-wise reciprocals of this tensor.
recip() - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the element-wise reciprocals of non-zero values of this tensor.
recip() - Method in class org.flag4j.arrays.sparse.CooTensor: Computes the element-wise reciprocals of the non-zero elements of this sparse tensor.
recip() - Method in class org.flag4j.arrays.sparse.CooVector: Computes the element-wise reciprocals of the non-zero values of this tensor.
recip(double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Computes the reciprocals, element-wise, of a tensor.
recip(V[], V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Computes the reciprocals, element-wise, of a tensor.
reduce(T[], BinaryOperator<T>) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.TransformSemiRing: Reduces the given array of field elements to a single element by repeatedly applying a binary operator to combine elements.
reduced - Variable in class org.flag4j.linalg.decompositions.qr.ComplexQR: Flag indicating if the reduced (true) or full (false) QR decomposition should be computed.
reduced - Variable in class org.flag4j.linalg.decompositions.qr.RealQR: Flag indicating if the reduced (true) or full (false) QR decomposition should be computed.
reduced - Variable in class org.flag4j.linalg.decompositions.svd.SVD: Flag which indicates if the reduced (or full) SVD should be computed.
ref(CMatrix) - Static method in class org.flag4j.linalg.RowEchelon: Computes a row echelon form of a Matrix.
ref(Matrix) - Static method in class org.flag4j.linalg.RowEchelon: Computes a row echelon form of a Matrix.
removeCol(int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Removes a specified column from this matrix.
removeCol(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Removes a specified column from this matrix.
removeCol(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Removes a specified column from this matrix.
removeCol(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Removes a specified column from this matrix.
removeCol(int) - Method in class org.flag4j.arrays.dense.Matrix: Removes a specified column from this matrix.
removeCol(int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Removes a specified column from this matrix.
removeCol(int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Removes a specified column from this matrix.
removeCol(CooMatrix, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixManipulations: Removes a specified column from a sparse matrix.
removeCols(int...) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Removes a specified set of columns from this matrix.
removeCols(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Removes a specified set of columns from this matrix.
removeCols(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Removes a specified set of columns from this matrix.
removeCols(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Removes a specified set of columns from this matrix.
removeCols(int...) - Method in class org.flag4j.arrays.dense.Matrix: Removes a specified set of columns from this matrix.
removeCols(int...) - Method in class org.flag4j.arrays.sparse.CooMatrix: Removes a specified set of columns from this matrix.
removeCols(int...) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Removes a specified set of columns from this matrix.
removeCols(CooMatrix, int...) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixManipulations: Removes a list of specified columns from a sparse matrix.
removeRow(int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Removes a specified row from this matrix.
removeRow(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Removes a specified row from this matrix.
removeRow(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Removes a specified row from this matrix.
removeRow(int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Removes a specified row from this matrix.
removeRow(int) - Method in class org.flag4j.arrays.dense.Matrix: Removes a specified row from this matrix.
removeRow(int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Removes a specified row from this matrix.
removeRow(int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Removes a specified row from this matrix.
removeRow(CooMatrix, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixManipulations: Removes a specified row from a sparse matrix.
removeRows(int...) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Removes a specified set of rows from this matrix.
removeRows(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Removes a specified set of rows from this matrix.
removeRows(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Removes a specified set of rows from this matrix.
removeRows(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Removes a specified set of rows from this matrix.
removeRows(int...) - Method in class org.flag4j.arrays.dense.Matrix: Removes a specified set of rows from this matrix.
removeRows(int...) - Method in class org.flag4j.arrays.sparse.CooMatrix: Removes a specified set of rows from this matrix.
removeRows(int...) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Removes a specified set of rows from this matrix.
removeRows(CooMatrix, int...) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixManipulations: Removes multiple rows from a real sparse matrix.
reordered(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the matrix multiplication between two real dense matrices using the standard algorithm with j-k loops swapped.
reordered(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication between a real dense matrix with a dense field matrix using the standard algorithm with j-k loops swapped.
reordered(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication between a real dense matrix with a dense field matrix using the standard algorithm with j-k loops swapped.
reordered(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the matrix multiplication between two dense matrices using the standard algorithm with j-k loops swapped.
REORDERED - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
REORDERED - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
repeat(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Repeats a vector n times along a certain axis to create a matrix.
repeat(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Repeats a vector n times along a certain axis to create a matrix.
repeat(int, int) - Method in interface org.flag4j.arrays.backend.VectorMixin: Repeats a vector n times along a certain axis to create a matrix.
repeat(int, int) - Method in class org.flag4j.arrays.dense.Vector: Repeats a vector n times along a certain axis to create a matrix.
repeat(int, int) - Method in class org.flag4j.arrays.sparse.CooVector: Repeats a vector n times along a certain axis to create a matrix.
repeat(int, int[]) - Static method in class org.flag4j.util.ArrayJoiner: Repeats an array a specified number of times.
repeat(Object[], int, int, Object[]) - Static method in class org.flag4j.linalg.ops.dense.DenseConcat: Repeats a vector n times along a certain axis to create a matrix.
repeat(CooVector, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooVectorOps: Repeats a vector n times along a certain axis to create a matrix.
repeat(T[], int[], int, int, int, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooConcat: Repeats a sparse COO vector n times along a certain axis to create a matrix.
resetAll() - Static method in class org.flag4j.concurrency.Configurations: Resets all configurations to their default values.
resetAll() - Static method in class org.flag4j.io.PrintOptions: Resets all print options to their default values.
reshape(int...) - Method in class org.flag4j.arrays.backend.AbstractTensor: Copies and reshapes this tensor.
reshape(Shape) - Method in class org.flag4j.arrays.backend.AbstractTensor: Copies and reshapes this tensor.
reshape(Shape) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Copies and reshapes this tensor.
reshape(Shape) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Copies and reshapes this tensor.
reshape(Shape) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Copies and reshapes this tensor.
reshape(Shape) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Copies and reshapes this tensor.
reshape(Shape) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Copies and reshapes this tensor.
reshape(Shape) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Copies and reshapes this tensor.
reshape(Shape) - Method in class org.flag4j.arrays.sparse.CooMatrix: Copies and reshapes this tensor.
reshape(Shape) - Method in class org.flag4j.arrays.sparse.CooTensor: Copies and reshapes this tensor.
reshape(Shape) - Method in class org.flag4j.arrays.sparse.CooVector: Copies and reshapes this tensor.
reshape(Shape) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Copies and reshapes this tensor.
Restrictions - Search tag in class org.flag4j.util.ArrayUtils: Section
Restrictions: - Search tag in class org.flag4j.util.ArrayBuilder: Section
Restrictions: - Search tag in class org.flag4j.util.ArrayConversions: Section
rightMult(CMatrix) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Right multiplies this permutation matrix to the specified matrix.
rightMult(CVector) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Right multiplies this permutation matrix to the specified vector.
rightMult(Matrix) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Right multiplies this permutation matrix to the specified matrix.
rightMult(Vector) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Right multiplies this permutation matrix to the specified vector.
rightMult2x2Rotator(CMatrix, CMatrix, int, Complex128[]) - Static method in class org.flag4j.linalg.transformations.Givens: Right multiplies a 2x2 Givens rotator to a matrix at the specified row.
rightMult2x2Rotator(Matrix, Matrix, int, double[]) - Static method in class org.flag4j.linalg.transformations.Givens: Right multiplies a 2x2 Givens rotator to a matrix at the specified row.
rightMultReflector(CMatrix, Complex128[], Complex128, int, int, int) - Static method in class org.flag4j.linalg.transformations.Householder: Right multiplies a Householder matrix H=I-invalid input: '&alpha'vv^H, represented by the vector v, to another matrix A.
rightMultReflector(CMatrix, CVector, Complex128, int, int, int) - Static method in class org.flag4j.linalg.transformations.Householder: Right multiplies a Householder matrix H=I-invalid input: '&alpha'vv^H, represented by the vector v, to another matrix A.
rightMultReflector(Matrix, double[], double, int, int, int) - Static method in class org.flag4j.linalg.transformations.Householder: Right multiplies a Householder matrix H=I-invalid input: '&alpha'vv^T, represented by the vector v, to another matrix A.
rightMultReflector(Matrix, Vector, double, int, int, int) - Static method in class org.flag4j.linalg.transformations.Householder: Right multiplies a Householder matrix H=I-invalid input: '&alpha'vv^T, represented by the vector v, to another matrix A.
Ring<T> - Interface in org.flag4j.algebraic_structures: Defines a mathematical ring structure and specifies the operations that ring elements must support.
RingMatrix<T> - Class in org.flag4j.arrays.dense: Instances of this class represents a dense matrix backed by a Ring array.
RingMatrix(int, int, T) - Constructor for class org.flag4j.arrays.dense.RingMatrix: Creates a dense ring matrix with the specified data and filled with filledValue.
RingMatrix(int, int, T[]) - Constructor for class org.flag4j.arrays.dense.RingMatrix: Creates a dense ring matrix with the specified data and shape.
RingMatrix(int, int, T[][]) - Constructor for class org.flag4j.arrays.dense.RingMatrix: Creates a dense ring matrix with the specified data and shape.
RingMatrix(Shape, T) - Constructor for class org.flag4j.arrays.dense.RingMatrix: Creates a dense ring matrix with the specified data and filled with filledValue.
RingMatrix(Shape, T[]) - Constructor for class org.flag4j.arrays.dense.RingMatrix: Creates a tensor with the specified data and shape.
RingMatrix(T[][]) - Constructor for class org.flag4j.arrays.dense.RingMatrix: Creates a dense ring matrix with the specified data and shape.
RingOps - Class in org.flag4j.linalg.ops.common.ring_ops: Utility class useful for computing ops on Ring tensors.
RingProperties - Class in org.flag4j.linalg.ops.common.ring_ops: Utility class for checking properties of Ring's
RingTensor<T> - Class in org.flag4j.arrays.dense: Instances of this class represent a dense tensor backed by a Ring array.
RingTensor(Object) - Constructor for class org.flag4j.arrays.dense.RingTensor: Creates a tensor from an nD array.
RingTensor(Shape, T) - Constructor for class org.flag4j.arrays.dense.RingTensor: Creates a dense ring tensor with the specified data and filled with filledValue.
RingTensor(Shape, T[]) - Constructor for class org.flag4j.arrays.dense.RingTensor: Creates a tensor with the specified data and shape.
RingTensorMixin<T,U,V> - Interface in org.flag4j.arrays.backend.ring_arrays: This interface provides default functionality for all tensors whose data are elements of a Ring.
RingVector<T> - Class in org.flag4j.arrays.dense: Instances of this class represents a dense vector backed by a Ring array.
RingVector(Shape, T[]) - Constructor for class org.flag4j.arrays.dense.RingVector: Creates a ring vector with the specified data and shape.
RingVector(T[]) - Constructor for class org.flag4j.arrays.dense.RingVector: Creates a ring vector with the specified data and shape.
rng - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Random number generator to be used when computing a random exceptional shift.
rng - Variable in class org.flag4j.rng.distributions.Distribution: The random number generator to use when sampling this distribution.
ROOT_THREE - Static variable in class org.flag4j.algebraic_structures.Complex128: The double value closer than any other to the square root of 3,
ROOT_THREE - Static variable in class org.flag4j.algebraic_structures.Complex64: The float value closer than any other to the square root of 3
ROOT_THREE - Static variable in class org.flag4j.algebraic_structures.RealFloat32: The numerical value representing the square root of three.
ROOT_THREE - Static variable in class org.flag4j.algebraic_structures.RealFloat64: The numerical value representing the square root of three.
ROOT_TWO - Static variable in class org.flag4j.algebraic_structures.Complex128: The double value closer than any other to the square root of 2.
ROOT_TWO - Static variable in class org.flag4j.algebraic_structures.Complex64: The float value closer than any other to the square root of 2
ROOT_TWO - Static variable in class org.flag4j.algebraic_structures.RealFloat32: The numerical value representing the square root of two.
ROOT_TWO - Static variable in class org.flag4j.algebraic_structures.RealFloat64: The numerical value representing the square root of two.
rotate2D(double) - Static method in class org.flag4j.linalg.transformations.Rotation: Constructs a rotation matrix, R(θ), which rotates 2D column vectors theta degrees.
rotate3D(double, double, double) - Static method in class org.flag4j.linalg.transformations.Rotation: Constructs a 3D rotation matrix, R(α, β, γ), representing a rotation with yaw, pitch, and roll angles α, β, and γ respectively.
rotate3D(double, Vector) - Static method in class org.flag4j.linalg.transformations.Rotation: Constructs a 3D rotation matrix, R_u(θ), which representing a rotation of θ degrees about an axis unit vector u.
rotateEuler(double, double, double) - Static method in class org.flag4j.linalg.transformations.Rotation: Constructs a 3D rotation matrix, R_E(α, β, γ), representing a rotation described by proper Euler angles (α, β, γ).
rotateX3D(double) - Static method in class org.flag4j.linalg.transformations.Rotation: Constructs a matrix which rotates 3D column vectors about the x-axis theta degrees.
rotateY3D(double) - Static method in class org.flag4j.linalg.transformations.Rotation: Constructs a matrix which rotates 3D column vectors about the y-axis theta degrees.
rotateZ3D(double) - Static method in class org.flag4j.linalg.transformations.Rotation: Constructs a matrix which rotates 3D column vectors about the z-axis theta degrees.
Rotation - Class in org.flag4j.linalg.transformations: The Rotation class provides utility methods to compute rotation matrices for 2D and 3D rotations.
round() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Rounds all data in this matrix to the nearest integer.
round() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Rounds each entry of this tensor to the nearest whole number.
round() - Method in class org.flag4j.arrays.dense.CMatrix: Rounds all data in this matrix to the nearest integer.
round(double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealOps: Rounds the values of a tensor to the nearest integer.
round(double[], int) - Static method in class org.flag4j.linalg.ops.common.real.RealOps: Rounds the values of a tensor with specified precision.
round(int) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Rounds all data within this matrix to the specified precision.
round(int) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Rounds each entry in this tensor to the nearest whole number.
round(int) - Method in class org.flag4j.arrays.dense.CMatrix: Rounds all data within this matrix to the specified precision.
round(int) - Method in class org.flag4j.arrays.dense.CTensor: Rounds all data within this tensor to the specified precision.
round(int) - Method in class org.flag4j.arrays.dense.CVector: Rounds all data within this vector to the specified precision.
round(int) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Rounds all data within this matrix to the specified precision.
round(int) - Method in class org.flag4j.arrays.sparse.CooCTensor: Rounds all data within this tensor to the specified precision.
round(int) - Method in class org.flag4j.arrays.sparse.CooCVector: Rounds all data within this vector to the specified precision.
round(int) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Rounds all data within this matrix to the specified precision.
round(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Rounds both components of a complex number to the nearest respective integer.
round(Complex128[], int) - Static method in class org.flag4j.linalg.ops.common.complex.Complex128Ops: Rounds the values of a tensor with specified precision.
round(Complex128, int) - Static method in class org.flag4j.algebraic_structures.Complex128: Rounds number to specified number of decimal places.
round(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Rounds both components of a complex number to the nearest respective integer.
round(Complex64[], int) - Static method in class org.flag4j.linalg.ops.common.complex.Complex64Ops: Rounds the values of a tensor with specified precision.
round(Complex64, int) - Static method in class org.flag4j.algebraic_structures.Complex64: Rounds number to specified number of decimal places.
round(RealFloat32, int) - Static method in class org.flag4j.algebraic_structures.RealFloat32: Rounds number to specified number of decimal places.
round(RealFloat64, int) - Static method in class org.flag4j.algebraic_structures.RealFloat64: Rounds number to specified number of decimal places.
roundToZero() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Rounds values in this tensor which are close to zero in absolute value to zero.
roundToZero(double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Sets all elements of this matrix to zero if they are within tol of zero.
roundToZero(double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Rounds values which are close to zero in absolute value to zero.
roundToZero(double) - Method in class org.flag4j.arrays.dense.CMatrix: Sets all elements of this matrix to zero if they are within tol of zero.
roundToZero(double) - Method in class org.flag4j.arrays.dense.CTensor: Sets all elements of this tensor to zero if they are within tol of zero.
roundToZero(double) - Method in class org.flag4j.arrays.dense.CVector: Sets all elements of this vector to zero if they are within tol of zero.
roundToZero(double) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Sets all elements of this matrix to zero if they are within tol of zero.
roundToZero(double) - Method in class org.flag4j.arrays.sparse.CooCTensor: Sets all elements of this tensor to zero if they are within tol of zero.
roundToZero(double) - Method in class org.flag4j.arrays.sparse.CooCVector: Sets all elements of this vector to zero if they are within tol of zero.
roundToZero(double) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Sets all elements of this matrix to zero if they are within tol of zero.
roundToZero(double[], double) - Static method in class org.flag4j.linalg.ops.common.real.RealOps: Rounds values which are close to zero in absolute value to zero.
roundToZero(Complex128[], double) - Static method in class org.flag4j.linalg.ops.common.complex.Complex128Ops: Rounds values which are close to zero in absolute value to zero.
roundToZero(Complex128, double) - Static method in class org.flag4j.algebraic_structures.Complex128: Rounds a complex numbers to zero if its magnitude within the specified tolerance from zero.
roundToZero(Complex64[], float) - Static method in class org.flag4j.linalg.ops.common.complex.Complex64Ops: Rounds values which are close to zero in absolute value to zero.
roundToZero(Complex64, float) - Static method in class org.flag4j.algebraic_structures.Complex64: Rounds a complex numbers to zero if its magnitude within the specified tolerance from zero.
rowData() - Method in record class org.flag4j.arrays.SparseMatrixData: Returns the value of the rowData record component.
RowEchelon - Class in org.flag4j.linalg: This class contains static methods for computing row echelon, reduced row echelon, and extended reduced row echelon forms of a matrix.
rowIndices - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Row indices for non-zero value of this sparse COO matrix.
rowIndices - Variable in class org.flag4j.arrays.sparse.CooMatrix: Row indices for non-zero value of this sparse COO matrix.
rowIndicesToArray() - Method in record class org.flag4j.arrays.SparseMatrixData: Converts the row indices of this sparse matrix data to a primitive integer array.
rowPermute - Variable in class org.flag4j.linalg.solvers.exact.ExactSolver: Row permutation matrix for LU decomposition.
rowPointers - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Pointers indicating starting index of each row within the AbstractCsrSemiringMatrix.colIndices and AbstractTensor.data arrays.
rowPointers - Variable in class org.flag4j.arrays.sparse.CsrMatrix: Pointers indicating starting index of each row within the CsrMatrix.colIndices and AbstractTensor.data arrays.
rowSwaps - Variable in class org.flag4j.linalg.decompositions.lu.LU
rref(CMatrix) - Static method in class org.flag4j.linalg.RowEchelon: Computes the reduced row echelon form of a matrix.
rref(Matrix) - Static method in class org.flag4j.linalg.RowEchelon: Computes the reduced row echelon form of a matrix.

S

S - Variable in class org.flag4j.linalg.decompositions.svd.SVD: The rectangular diagonal S corresponding to M=USV^H in the SVD.
SAFE_MIN_F32 - Static variable in class org.flag4j.util.Flag4jConstants: The smallest "safe" 32-bit floating point value.
SAFE_MIN_F64 - Static variable in class org.flag4j.util.Flag4jConstants: The smallest "safe" 64-bit floating point value.
sameShape(AbstractTensor<?, ?, ?>) - Method in class org.flag4j.arrays.backend.AbstractTensor: Checks if a tensor has the same shape as this tensor.
sample() - Method in class org.flag4j.rng.distributions.Complex128BiGaussian: Randomly samples this distribution.
sample() - Method in class org.flag4j.rng.distributions.Complex128UniformDisk: Randomly samples this complex annular uniform distribution centered at (Complex128UniformDisk.centerRe, Complex128UniformDisk.centerIm) with inner and outer radius Complex128UniformDisk.min and Complex128UniformDisk.max respectively.
sample() - Method in class org.flag4j.rng.distributions.Complex128UniformRect: Randomly samples this complex rectangular uniform distribution.
sample() - Method in class org.flag4j.rng.distributions.Distribution: Randomly samples this distribution.
sample() - Method in class org.flag4j.rng.distributions.RealGaussian: Randomly samples this Gaussian distribution.
sample() - Method in class org.flag4j.rng.distributions.RealUniform: Randomly samples this uniform distribution.
scalDiv(double[], double, double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealOps: Computes the scalar division of a tensor.
scalDiv(double[], Complex128) - Static method in class org.flag4j.linalg.ops.common.complex.Complex128Ops: Computes the scalar division of a tensor.
scalDiv(double[], T, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Computes the scalar multiplication of a tensor.
scalDiv(T[], double, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Computes the scalar division of a tensor.
scalePerm - Variable in class org.flag4j.linalg.decompositions.balance.Balancer: Stores both the scaling and permutation information for the balanced matrix.
scalMult(double[], double, double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealOps: Computes the scalar multiplication of a tensor.
scalMult(double[], double, int, int, double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealOps: Computes the scalar multiplication of a tensor.
scalMult(double[], double, int, int, int, double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealOps: Scales entries by the specified factor within src starting at index start and scaling a total of n elements spaced by stride.
scalMult(double[], V, V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Computes the scalar multiplication of a tensor.
scalMult(T[], double, int, int, int, T[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Scales entries by the specified factor within src starting at index start and scaling a total of n elements spaced by stride.
scalMult(T[], T, T[]) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.SemiringOps: Computes the scalar multiplication of a tensor.
scalMult(T[], T, T[], int, int) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.SemiringOps: Computes the scalar multiplication of a tensor.
scalMult(V[], double, V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Computes the scalar multiplication of a tensor with a scalar value.
schattenNorm(CMatrix, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the Schatten p-norm of a complex dense matrix.
schattenNorm(Matrix, double) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the Schatten p-norm of a real dense matrix.
Schur<T,U> - Class in org.flag4j.linalg.decompositions.schur: The base class for Schur decompositions.
Schur(boolean, RandomComplex, UnitaryDecomposition<T, U>) - Constructor for class org.flag4j.linalg.decompositions.schur.Schur: Creates a decomposer to compute the Schur decomposition for a real dense matrix.
second() - Method in record class org.flag4j.arrays.Pair: Returns the value of the second record component.
second() - Method in record class org.flag4j.arrays.Triple: Returns the value of the second record component.
selectAlgorithmVector(Shape) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher: Dynamically chooses matrix-vector multiply algorithm based on the shapes of the matrix to multiply.
Semiring<T> - Interface in org.flag4j.algebraic_structures: Defines a mathematical semiring structure and specifies the operations that semiring elements must support.
SemiringCsrMatMult - Class in org.flag4j.linalg.ops.sparse.csr.semiring_ops: Utility class for computing matrix multiplication of a sparse CSR Semiring matrix.
SemiringCsrOps - Class in org.flag4j.linalg.ops.sparse.csr.semiring_ops: Utility class for computing ops on sparse CSR Semiring tensors.
SemiringCsrProperties - Class in org.flag4j.linalg.ops.sparse.csr.semiring_ops: Utility class containing methods useful for determining certain properties of a sparse CSR Semiring matrix.
SemiringMatrix<T> - Class in org.flag4j.arrays.dense: Instances of this class represents a dense matrix backed by a Semiring array.
SemiringMatrix(int, int, T) - Constructor for class org.flag4j.arrays.dense.SemiringMatrix: Creates a dense semiring matrix with the specified data and filled with filledValue.
SemiringMatrix(int, int, T[]) - Constructor for class org.flag4j.arrays.dense.SemiringMatrix: Creates a dense semiring matrix with the specified data and shape.
SemiringMatrix(int, int, T[][]) - Constructor for class org.flag4j.arrays.dense.SemiringMatrix: Creates a dense semiring matrix with the specified data and shape.
SemiringMatrix(Shape, T) - Constructor for class org.flag4j.arrays.dense.SemiringMatrix: Creates a dense semiring matrix with the specified data and filled with filledValue.
SemiringMatrix(Shape, T[]) - Constructor for class org.flag4j.arrays.dense.SemiringMatrix: Creates a tensor with the specified data and shape.
SemiringMatrix(T[][]) - Constructor for class org.flag4j.arrays.dense.SemiringMatrix: Creates a dense semiring matrix with the specified data and shape.
SemiringOps - Class in org.flag4j.linalg.ops.common.semiring_ops: This utility class contains ops for tensors whose elements are members of a Field.
SemiringProperties - Class in org.flag4j.linalg.ops.common.semiring_ops: This utility class provides methods useful for determining properties of semiring tensors.
SemiringTensor<T> - Class in org.flag4j.arrays.dense: Instances of this class represent a dense tensor backed by a Semiring array.
SemiringTensor(Object) - Constructor for class org.flag4j.arrays.dense.SemiringTensor: Creates a tensor from an nD array.
SemiringTensor(Shape, T) - Constructor for class org.flag4j.arrays.dense.SemiringTensor: Creates a dense semiring tensor with the specified data and filled with filledValue.
SemiringTensor(Shape, T[]) - Constructor for class org.flag4j.arrays.dense.SemiringTensor: Creates a tensor with the specified data and shape.
SemiringTensorMixin<T,U,V> - Interface in org.flag4j.arrays.backend.semiring_arrays: This interface provides default functionality for all tensors whose data are elements of a Semiring.
SemiringVector<T> - Class in org.flag4j.arrays.dense: Instances of this class represents a dense vector backed by a Semiring array.
SemiringVector(Shape, T[]) - Constructor for class org.flag4j.arrays.dense.SemiringVector: Creates a semiring vector with the specified data and shape.
SemiringVector(T[]) - Constructor for class org.flag4j.arrays.dense.SemiringVector: Creates a semiring vector with the specified data and shape.
set(double[], Shape, double, int...) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseSetOps: Sets an element of a tensor to the specified value.
set(double, int) - Method in class org.flag4j.arrays.dense.CVector: Sets the specified index of this vector to the provided real value.
set(double, int...) - Method in class org.flag4j.arrays.sparse.CooCTensor: Sets the element of this tensor at the specified target index.
set(double, int, int) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Sets an index of this matrix to the specified value.
set(double, int, int) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Sets the specified index of this matrix to the provided value.
set(Double, int...) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Sets the element of this tensor at the specified indices.
set(Double, int...) - Method in class org.flag4j.arrays.sparse.CooMatrix: Sets the element of this tensor at the specified indices.
set(Double, int...) - Method in class org.flag4j.arrays.sparse.CooTensor: Sets the element of this tensor at the specified indices.
set(Double, int...) - Method in class org.flag4j.arrays.sparse.CooVector: Sets the element of this tensor at the specified indices.
set(Double, int...) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Sets the element of this tensor at the specified indices.
set(Double, int, int) - Method in class org.flag4j.arrays.dense.Matrix: Sets an index of this matrix to the specified value.
set(Double, int, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Sets an index of this matrix to the specified value.
set(Double, int, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Sets an index of this matrix to the specified value.
set(T, int...) - Method in class org.flag4j.arrays.sparse.CooFieldTensor: Sets the element of this tensor at the specified indices.
set(V, int...) - Method in class org.flag4j.arrays.backend.AbstractTensor: Sets the element of this tensor at the specified indices.
set(V, int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Sets the element of this tensor at the specified target.
set(V, int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Sets the element of this tensor at the specified indices.
set(V, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Sets an index of this matrix to the specified value.
set(W, int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Sets the element of this tensor at the specified indices.
set(W, int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Sets the element of this tensor at the specified indices.
set(W, int, int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Sets an index of this matrix to the specified value.
set(W, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Sets an index of this matrix to the specified value.
set(W, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Sets an index of this matrix to the specified value.
set(Y, int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Sets the element of this tensor at the specified indices.
setBlockSize(int) - Static method in class org.flag4j.concurrency.Configurations: Sets the current block size used in blocked algorithms.
setCentering(boolean) - Static method in class org.flag4j.io.PrintOptions: Sets the centering flag.
setCol(double[], int) - Method in class org.flag4j.arrays.dense.Matrix: Sets a column of this matrix at the given index to the specified values.
setCol(Double[], int) - Method in class org.flag4j.arrays.dense.Matrix: Sets a column of this matrix at the given index to the specified values.
setCol(Vector, int) - Method in class org.flag4j.arrays.dense.Matrix: Sets a column of this matrix at the given index to the specified values.
setCol(Shape, T[], int[], int[], int, int, T[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Sets a column of a sparse matrix to the values in a sparse tensor.
setCol(CooMatrix, int, double[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Sets a column of a sparse matrix to the data of a dense array.
setCol(CooMatrix, int, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Sets a column of a sparse matrix to the values in a sparse tensor.
setCol(CooVector, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Sets a column of this matrix at the given index to the specified values.
setCol(CooVector, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Sets a column of this matrix at the given index to the specified values.
setCol(U, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Sets a specified column of this matrix to a vector.
setCol(V[], int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Sets a specified column of this matrix to an array.
setCol(V, int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Sets a specified column of this matrix to a vector.
setCol(V, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Sets a column of this matrix at the given index to the specified vector.
setCol(V, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Sets a specified column of this matrix to a vector.
setExceptionalThreshold(int) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Sets the number of iterations of the QR algorithm to perform without deflation before performing a random shift.
setExceptionalThreshold(int) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Sets the number of iterations of the QR algorithm to perform without deflation before performing a random shift.
setExceptionalThreshold(int) - Method in class org.flag4j.linalg.decompositions.schur.Schur: Sets the number of iterations of the QR algorithm to perform without deflation before performing a random shift.
setMaxColumns(int) - Static method in class org.flag4j.io.PrintOptions: Sets the maximum number of columns to print.
setMaxIterationFactor(int) - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Specify maximum iteration factor for computing the total number of iterations to run the QR algorithm for when computing the decomposition.
setMaxIterationFactor(int) - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Specify maximum iteration factor for computing the total number of iterations to run the QR algorithm for when computing the decomposition.
setMaxIterationFactor(int) - Method in class org.flag4j.linalg.decompositions.schur.Schur: Specify maximum iteration factor for computing the total number of iterations to run the QR algorithm for when computing the decomposition.
setMaxRows(int) - Static method in class org.flag4j.io.PrintOptions: Set the maximum number of rows to print.
setMaxRowsCols(int) - Static method in class org.flag4j.io.PrintOptions: Set the maximum number of rows and columns to print.
setMaxRowsCols(int, int) - Static method in class org.flag4j.io.PrintOptions: Set the maximum number of rows and columns to print.
setNumThreads(int) - Static method in class org.flag4j.concurrency.Configurations: Sets the number of threads to use in concurrent algorithms.
setNumThreadsAsAvailableProcessors() - Static method in class org.flag4j.concurrency.Configurations: Sets the number of threads for use in concurrent ops as the number of processors available to the Java virtual machine.
setPadding(int) - Static method in class org.flag4j.io.PrintOptions: Sets the minimum padding amount for the columns.
setParallelismLevel(int) - Static method in class org.flag4j.concurrency.ThreadManager: Sets the number of threads to use in the thread pool.
setPrecision(int) - Static method in class org.flag4j.io.PrintOptions: Sets the printing precision for which values in a matrix/vector
setRow(double[], int) - Method in class org.flag4j.arrays.dense.Matrix: Sets a row of this matrix at the given index to the specified values.
setRow(double[], int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Sets a specified row of this matrix to an array.
setRow(Double[], int) - Method in class org.flag4j.arrays.dense.Matrix: Sets a row of this matrix at the given index to the specified values.
setRow(Vector, int) - Method in class org.flag4j.arrays.dense.Matrix: Sets a row of this matrix at the given index to the specified values.
setRow(Shape, T[], int[], int[], int, int, T[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Sets a specified row of a real sparse COO matrix to the values in a sparse COO vector.
setRow(CooMatrix, int, double[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Sets a specified row of a real sparse matrix to the values of a dense array.
setRow(CooMatrix, int, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Sets a specified row of a real sparse COO matrix to the values in a sparse COO vector.
setRow(CooVector, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Sets a row of this matrix at the given index to the specified values.
setRow(CooVector, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Sets a row of this matrix at the given index to the specified values.
setRow(U, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Sets a specified row of this matrix to a vector.
setRow(V[], int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Sets a specified row of this matrix to an array.
setRow(V, int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Sets a specified row of this matrix to a vector.
setRow(V, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Sets a specified row of this matrix to a vector.
setRow(V, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Sets a specified row of this matrix to a vector.
setSlice(double[][], int, int) - Method in class org.flag4j.arrays.dense.Matrix: Sets a slice of this matrix to the specified values.
setSlice(Double[][], int, int) - Method in class org.flag4j.arrays.dense.Matrix: Sets a slice of this matrix to the specified values.
setSlice(Matrix, int, int) - Method in class org.flag4j.arrays.dense.Matrix: Sets a slice of this matrix to the specified values.
setSlice(Shape, T[], int[], int[], Shape, T[], int[], int[], int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Copies a sparse matrix and sets a slice of the sparse COO matrix to the data of another sparse COO matrix.
setSlice(CooMatrix, double[][], int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Copies a sparse matrix and sets a slice of the sparse matrix to the data of a dense array.
setSlice(CooMatrix, int[][], int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Copies a sparse matrix and sets a slice of the sparse matrix to the data of a dense array.
setSlice(CooMatrix, Matrix, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Copies a sparse matrix and sets a slice of the sparse matrix to the data of a dense matrix.
setSlice(CooMatrix, CooMatrix, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooMatrixGetSet: Copies a sparse matrix and sets a slice of the sparse matrix to the data of another sparse matrix.
setSlice(T, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Sets a slice of this matrix to the specified values.
setSliceCopy(Matrix, int, int) - Method in class org.flag4j.arrays.dense.Matrix: Creates a copy of this matrix and sets a slice of the copy to the specified values.
setSliceCopy(CooMatrix, int, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Creates a copy of this matrix and sets a slice of the copy to the specified values.
setSliceCopy(CsrMatrix, int, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Creates a copy of this matrix and sets a slice of the copy to the specified values.
setSliceCopy(T, int, int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Creates a copy of this matrix and sets a slice of the copy to the specified values.
setSliceCopy(T, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Creates a copy of this matrix and sets a slice of the copy to the specified values.
setSliceCopy(T, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Creates a copy of this matrix and sets a slice of the copy to the specified values.
setSliceCopy(T, int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Creates a copy of this matrix and sets a slice of the copy to the specified values.
setUp(CMatrix) - Method in class org.flag4j.linalg.decompositions.hess.HermHess: Performs basic setup for the decomposition.
setUp(Matrix) - Method in class org.flag4j.linalg.decompositions.hess.SymmHess: Performs basic setup for the decomposition.
setUp(T) - Method in class org.flag4j.linalg.decompositions.schur.Schur: Performs basic setup and initializes data structures to be used in the decomposition.
setUp(T) - Method in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Initializes storage and other parameters for the decomposition.
setUpArrays() - Method in class org.flag4j.linalg.decompositions.schur.ComplexSchur: Initializes temporary work arrays to be used in the decomposition.
setUpArrays() - Method in class org.flag4j.linalg.decompositions.schur.RealSchur: Initializes temporary work arrays to be used in the decomposition.
setUpArrays() - Method in class org.flag4j.linalg.decompositions.schur.Schur: Initializes temporary work arrays to be used in the decomposition.
setValues(double[][]) - Method in class org.flag4j.arrays.dense.Matrix: Sets the value of this matrix using a 2D array.
setValues(double[][], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseSetOps: Sets the value of this matrix using a 2D array.
setValues(double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseSetOps: Sets the value of this matrix using a 2D array.
setValues(int[][]) - Method in class org.flag4j.arrays.dense.Matrix: Sets the value of this matrix using a 2D array.
setValues(int[][], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseSetOps: Sets the value of this matrix using a 2D array.
setValues(int[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseSetOps: Sets the value of this matrix using a 2D array.
setValues(Double[][]) - Method in class org.flag4j.arrays.dense.Matrix: Sets the value of this matrix using a 2D array.
setValues(Double[][], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseSetOps: Sets the value of this matrix using a 2D array.
setValues(Double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseSetOps: Sets the value of this matrix using a 2D array.
setValues(Integer[][]) - Method in class org.flag4j.arrays.dense.Matrix: Sets the value of this matrix using a 2D array.
setValues(Integer[][], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseSetOps: Sets the value of this matrix using a 2D array.
setValues(Integer[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseSetOps: Sets the value of this matrix using a 2D array.
setValues(Matrix) - Method in class org.flag4j.arrays.dense.Matrix: Sets the value of this matrix using another matrix.
setValues(V[][]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Sets the value of this matrix using a 2D array.
setZeroElement(V) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Sets the zero element for the field of this tensor.
setZeroElement(V) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Sets the zero element for the field of this tensor.
setZeroElement(W) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Sets the zero element for the semiring of this tensor.
setZeroElement(W) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Sets the zero element for the semiring of this tensor.
setZeroElement(Y) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Sets the zero element for the field of this tensor.
sgn(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: The complex signum function.
sgn(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: The complex signum function.
sgn(RealFloat32) - Static method in class org.flag4j.algebraic_structures.RealFloat32: Evaluates the signum or sign function on a field element.
sgn(RealFloat64) - Static method in class org.flag4j.algebraic_structures.RealFloat64: Evaluates the signum or sign function on a field element.
sgn(RealInt16) - Static method in class org.flag4j.algebraic_structures.RealInt16: Evaluates the signum or sign function on a ring element.
sgn(RealInt32) - Static method in class org.flag4j.algebraic_structures.RealInt32: Evaluates the signum or sign function on a ring element.
shape - Variable in class org.flag4j.arrays.backend.AbstractTensor: The shape of this tensor.
shape - Variable in class org.flag4j.arrays.sparse.PermutationMatrix: Shape of this permutation matrix.
shape() - Method in record class org.flag4j.arrays.SparseMatrixData: Returns the value of the shape record component.
shape() - Method in record class org.flag4j.arrays.SparseTensorData: Returns the value of the shape record component.
shape() - Method in record class org.flag4j.arrays.SparseVectorData: Returns the value of the shape record component.
Shape - Class in org.flag4j.arrays: Represents the shape of a multidimensional array (e.g. tensor, matrix, vector, etc.), specifying its dimensions and providing utilities for shape-related ops.
Shape(int...) - Constructor for class org.flag4j.arrays.Shape: Constructs a shape object from specified dimensions.
shape1 - Variable in class org.flag4j.linalg.ops.TensorDot
shape2 - Variable in class org.flag4j.linalg.ops.TensorDot
shapeEntriesError(Shape, int) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for a shape which cannot hold a specified number of data.
shapeRankErr(int, int) - Static method in class org.flag4j.util.ErrorMessages: Gets an error message for an incorrect shape.
shift - Variable in class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: Stores the shifted value of the first entry in a HouseholderOld vector.
shift(int, int[]) - Static method in class org.flag4j.util.ArrayUtils: Shifts all indices in an array by a specified amount.
shiftCol - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Stores the non-zero data of the first column of the shifted matrix (A- invalid input: '&rho'₁I)(A-invalid input: '&rho'₂ I) where invalid input: '&rho'₁ and invalid input: '&rho'₂ are the two shifts.
shiftRange(int, int[], int, int) - Static method in class org.flag4j.util.ArrayUtils: Shifts a range of indices in an array by a specified amount.
shuffle(double[]) - Method in class org.flag4j.rng.RandomArray: Randomly shuffles array using the Fisher–Yates algorithm.
shuffle(int[]) - Method in class org.flag4j.rng.RandomArray: Randomly shuffles array using the Fisher–Yates algorithm.
shuffle(Object[]) - Method in class org.flag4j.rng.RandomArray: Randomly shuffles array using the Fisher–Yates algorithm.
sin(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the trigonometric sine of a complex value.
sin(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the trigonometric sine of a complex value.
sinceLastExceptional - Variable in class org.flag4j.linalg.decompositions.schur.Schur: The number of iterations run in the QR algorithm without deflating or performing an exceptional shift.
SingularMatrixException - Exception Class in org.flag4j.util.exceptions: An exception which is thrown when some operation not defined for singular matrices is attempted to be performed on a singular matrix.
SingularMatrixException() - Constructor for exception class org.flag4j.util.exceptions.SingularMatrixException: Creates a SingularMatrixException with the simple error message "Matrix is singular."
SingularMatrixException(String) - Constructor for exception class org.flag4j.util.exceptions.SingularMatrixException: Creates a SingularMatrixException with a specified error message.
sinh(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the hyperbolic sine of a complex value.
sinh(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the hyperbolic sine of a complex value.
size - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: The total size of this sparse COO vector (including zero values).
size - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: The size of this vector.
size - Variable in class org.flag4j.arrays.dense.Vector: The size of this vector.
size - Variable in class org.flag4j.arrays.sparse.CooVector: The full size of this sparse COO vector (including the zeros.).
size - Variable in class org.flag4j.arrays.sparse.PermutationMatrix: Size of this permutation matrix.
size - Variable in class org.flag4j.linalg.decompositions.balance.Balancer: This size of the matrix to be balanced.
size() - Method in interface org.flag4j.arrays.backend.VectorMixin: Gets the size/length of a vector.
size() - Method in record class org.flag4j.arrays.IntTuple: Gets the size of the tuple.
size() - Method in record class org.flag4j.arrays.Tuple: Gets the size of the tuple.
slice(int) - Method in class org.flag4j.arrays.Shape: Returns a slice of this shape starting from the specified index to the end of this shape's dimensions.
slice(int, int) - Method in class org.flag4j.arrays.Shape: Returns a slice of this shape from the specified start index to the stop index of this shape's dimensions.
SmartMatrix - Class in org.flag4j.arrays: The SmartMatrix class provides a unified interface for performing operations on matrices of various types without requiring users to know the specific underlying implementation.
SmartMatrix(double[][]) - Constructor for class org.flag4j.arrays.SmartMatrix: Constructs a SmartMatrix from a 2D primitive double array.
SmartMatrix(Complex128[][]) - Constructor for class org.flag4j.arrays.SmartMatrix: Constructs a SmartMatrix from a 2D Complex128 array.
SmartMatrix(MatrixMixin<?, ?, ?, ?>) - Constructor for class org.flag4j.arrays.SmartMatrix: Constructs a SmartMatrix which is backed by the specified matrix.
SmartMatrix(T[][]) - Constructor for class org.flag4j.arrays.SmartMatrix: Constructs a SmartMatrix from a 2D Field array.
SmartMatrix(T[][]) - Constructor for class org.flag4j.arrays.SmartMatrix: Constructs a SmartMatrix from a 2D SemiringMatrix array.
solve(CMatrix, CMatrix) - Method in class org.flag4j.linalg.solvers.exact.triangular.ComplexBackSolver: Solves the linear system of equations given by U*X=B where the coefficient matrix U is an upper triangular matrix.
solve(CMatrix, CMatrix) - Method in class org.flag4j.linalg.solvers.exact.triangular.ComplexForwardSolver: Performs forward substitution for a unit lower triangular matrix L and a matrix B.
solve(CMatrix, CVector) - Method in class org.flag4j.linalg.solvers.exact.triangular.ComplexBackSolver: Solves the linear system of equations given by U*x=b where the coefficient matrix U is an upper triangular matrix.
solve(CMatrix, CVector) - Method in class org.flag4j.linalg.solvers.exact.triangular.ComplexForwardSolver: Performs forward substitution for a unit lower triangular matrix L and a vector b.
solve(Matrix, Matrix) - Method in class org.flag4j.linalg.solvers.exact.triangular.RealBackSolver: Solves the linear system of equations given by U*X=B where the coefficient matrix U is an upper triangular matrix.
solve(Matrix, Matrix) - Method in class org.flag4j.linalg.solvers.exact.triangular.RealForwardSolver: Performs forward substitution for a unit lower triangular matrix L and a matrix B.
solve(Matrix, Vector) - Method in class org.flag4j.linalg.solvers.exact.triangular.RealBackSolver: Solves the linear system of equations given by U*x=b where the coefficient matrix U is an upper triangular matrix.
solve(Matrix, Vector) - Method in class org.flag4j.linalg.solvers.exact.triangular.RealForwardSolver: Performs forward substitution for a unit lower triangular matrix L and a vector b.
solve(T, T) - Method in class org.flag4j.linalg.solvers.exact.ExactSolver: Solves the set of linear system of equations given by A*X=B for the matrix X.
solve(T, T) - Method in class org.flag4j.linalg.solvers.exact.ExactTensorSolver: Solves the linear tensor equation given by AX=B for the tensor X.
solve(T, T) - Method in interface org.flag4j.linalg.solvers.LinearMatrixSolver: Solves the linear matrix equation AX=B for the matrix X.
solve(T, T) - Method in interface org.flag4j.linalg.solvers.LinearSolver: Solves the linear tensor equation AX=B for the tensor X.
solve(T, T) - Method in class org.flag4j.linalg.solvers.lstsq.LstsqSolver: Solves the set of linear system of equations given by A*X=B for the matrix X where A, B, and X are matrices.
solve(T, U) - Method in class org.flag4j.linalg.solvers.exact.ExactSolver: Solves the linear system of equations given by A*x=b for the vector x.
solve(T, U) - Method in interface org.flag4j.linalg.solvers.LinearMatrixSolver: Solves the linear system of equations Ax=b for the vector x.
solve(T, U) - Method in class org.flag4j.linalg.solvers.lstsq.LstsqSolver: Solves the linear system given by Ax=b in the least-squares sense.
solveIdentity(CMatrix) - Method in class org.flag4j.linalg.solvers.exact.triangular.ComplexBackSolver: Solves the linear system of equations given by U*X=I where the coefficient matrix U is an upper triangular matrix and I is the identity matrix of appropriate size.
solveIdentity(CMatrix) - Method in class org.flag4j.linalg.solvers.exact.triangular.ComplexForwardSolver: Performs forward substitution for a unit lower triangular matrix L and the identity matrix.
solveIdentity(Matrix) - Method in class org.flag4j.linalg.solvers.exact.triangular.RealBackSolver: Solves the linear system of equations given by U*X=I where the coefficient matrix U is an upper triangular matrix and I is the identity matrix of appropriate size.
solveIdentity(Matrix) - Method in class org.flag4j.linalg.solvers.exact.triangular.RealForwardSolver: Performs forward substitution for a unit lower triangular matrix L and the identity matrix.
solveLower(CMatrix, CMatrix) - Method in class org.flag4j.linalg.solvers.exact.triangular.ComplexBackSolver: Solves a special case of the linear system U*X=L for X where the coefficient matrix U is an upper triangular matrix and the constant matrix L is lower triangular.
solveLower(Matrix, Matrix) - Method in class org.flag4j.linalg.solvers.exact.triangular.RealBackSolver: Solves a special case of the linear system U*X=L for X where the coefficient matrix U is an upper triangular matrix and the constant matrix L is lower triangular.
sortCsrMatrix(double[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Sorts the non-zero data and column indices of a sparse CSR matrix lexicographically by row and column index.
sortCsrMatrix(Object[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Sorts the non-zero data and column indices of a sparse CSR matrix lexicographically by row and column index.
sortIndices() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Sorts the indices of this tensor in lexicographical order while maintaining the associated value for each index.
sortIndices() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Sorts the indices of this tensor in lexicographical order while maintaining the associated value for each index.
sortIndices() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Sorts the indices of this tensor in lexicographical order while maintaining the associated value for each index.
sortIndices() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Sorts the indices of this tensor in lexicographical order while maintaining the associated value for each index.
sortIndices() - Method in class org.flag4j.arrays.sparse.CooMatrix: Sorts the indices of this tensor in lexicographical order while maintaining the associated value for each index.
sortIndices() - Method in class org.flag4j.arrays.sparse.CooTensor: Sorts the indices of this tensor in lexicographical order while maintaining the associated value for each index.
sortIndices() - Method in class org.flag4j.arrays.sparse.CooVector: Sorts the indices of this tensor in lexicographical order while maintaining the associated value for each index.
sortIndices() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Sorts the indices of this tensor in lexicographical order while maintaining the associated value for each index.
SparseElementSearch - Class in org.flag4j.linalg.ops.sparse: This class provides methods for efficiently finding if a sparse vector, matrix, or tensor contains a non-zero item at a specified index.
SparseMatrixData<T> - Record Class in org.flag4j.arrays: Data class for storing information for a sparse (CSR or COO) matrix.
SparseMatrixData(Shape, List<T>, List<Integer>, List<Integer>) - Constructor for record class org.flag4j.arrays.SparseMatrixData: Creates an instance of a SparseMatrixData record class.
sparseSort() - Method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Sorts the wrapped indices in lexicographical order while maintaining the order of the non-zero values so that their order matches the order of the indices.
SparseTensorData<T> - Record Class in org.flag4j.arrays: Data class for storing information for a sparse COO tensor.
SparseTensorData(Shape, List<T>, List<int[]>) - Constructor for record class org.flag4j.arrays.SparseTensorData: Creates an instance of a SparseTensorData record class.
SparseUtils - Class in org.flag4j.linalg.ops.sparse: Contains common utility functions for working with sparse matrices.
SparseUtils() - Constructor for class org.flag4j.linalg.ops.sparse.SparseUtils
SparseVectorData<T> - Record Class in org.flag4j.arrays: Data class for storing information for a sparse COO vector.
SparseVectorData(Shape, List<T>, List<Integer>) - Constructor for record class org.flag4j.arrays.SparseVectorData: Creates an instance of a SparseVectorData record class.
sparsity - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: The sparsity of this matrix.
sparsity - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Stores the sparsity of this matrix.
sparsity - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: The sparsity of this matrix.
sparsity - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: The sparsity of this matrix.
sparsity() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Gets the sparsity of this matrix as a decimal percentage.
sparsity() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Gets the sparsity of this tensor as a decimal percentage.
sparsity() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Gets the sparsity of this matrix as a decimal percentage.
sparsity() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Gets the sparsity of this matrix as a decimal percentage.
sparsity() - Method in class org.flag4j.arrays.sparse.CooMatrix: The sparsity of this sparse tensor.
sparsity() - Method in class org.flag4j.arrays.sparse.CooTensor: The sparsity of this sparse tensor.
sparsity() - Method in class org.flag4j.arrays.sparse.CooVector: The sparsity of this sparse tensor.
sparsity() - Method in class org.flag4j.arrays.sparse.CsrMatrix: The sparsity of this sparse CSR matrix.
Special Values: - Search tag in class org.flag4j.algebraic_structures.Complex128: Section
Special Values: - Search tag in class org.flag4j.algebraic_structures.Complex64: Section
sqrt() - Method in class org.flag4j.algebraic_structures.Complex128: Computes the square root of this field element.
sqrt() - Method in class org.flag4j.algebraic_structures.Complex64: Computes the square root of this field element.
sqrt() - Method in interface org.flag4j.algebraic_structures.Field: Computes the square root of this field element.
sqrt() - Method in class org.flag4j.algebraic_structures.RealFloat32: Computes the square root of this field element.
sqrt() - Method in class org.flag4j.algebraic_structures.RealFloat64: Computes the square root of this field element.
sqrt() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Computes the element-wise square root of this tensor.
sqrt() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldTensor: Computes the element-wise square root of this tensor.
sqrt() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldVector: Computes the element-wise square root of this tensor.
sqrt() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCsrFieldMatrix: Computes the element-wise square root of this tensor.
sqrt() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldMatrix: Computes the element-wise square root of this tensor.
sqrt() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldTensor: Computes the element-wise square root of this tensor.
sqrt() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractDenseFieldVector: Computes the element-wise square root of this tensor.
sqrt() - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Computes the element-wise square root of this tensor.
sqrt() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Computes the element-wise square root of this tensor.
sqrt(double) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the principle square root of a number.
sqrt(double[]) - Static method in class org.flag4j.linalg.ops.common.complex.Complex128Ops: Computes the element-wise square root of a tensor as complex values.
sqrt(double[]) - Static method in class org.flag4j.linalg.ops.common.real.RealOps: Computes the element-wise square root of a tensor.
sqrt(float) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the principle square root of a number.
sqrt(V[], V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Computes the element-wise square root of a tensor.
sqrtComplex() - Method in class org.flag4j.arrays.dense.Matrix: Computes the element-wise square root of a tensor.
src1 - Variable in class org.flag4j.linalg.ops.TensorDot
src1Axes - Variable in class org.flag4j.linalg.ops.TensorDot
src1Dims - Variable in class org.flag4j.linalg.ops.TensorDot
src1NewAxes - Variable in class org.flag4j.linalg.ops.TensorDot
src2 - Variable in class org.flag4j.linalg.ops.TensorDot
src2Axes - Variable in class org.flag4j.linalg.ops.TensorDot
src2Dims - Variable in class org.flag4j.linalg.ops.TensorDot
src2NewAxes - Variable in class org.flag4j.linalg.ops.TensorDot
stack(Object[], Object[], int, Object[]) - Static method in class org.flag4j.linalg.ops.dense.DenseConcat: Stacks two vectors along specified axis.
stack(Matrix) - Method in class org.flag4j.arrays.dense.Matrix: Stacks matrices along columns.
stack(Vector) - Method in class org.flag4j.arrays.dense.Vector: Stacks two vectors vertically as if they were row vectors to form a matrix with two rows.
stack(Vector, int) - Method in class org.flag4j.arrays.dense.Vector: Stacks two vectors along specified axis.
stack(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Stacks matrices along columns.
stack(CooVector) - Method in class org.flag4j.arrays.sparse.CooVector: Stacks two vectors vertically as if they were row vectors to form a matrix with two rows.
stack(CooVector, int) - Method in class org.flag4j.arrays.sparse.CooVector: Stacks two vectors along specified axis.
stack(CooVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooVectorOps: Stacks two vectors along columns as if they were row vectors.
stack(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Stacks matrices along columns.
stack(T) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Stacks matrices along columns.
stack(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Stacks matrices along columns.
stack(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Stacks matrices along columns.
stack(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Stacks matrices along columns.
stack(T) - Method in interface org.flag4j.arrays.backend.VectorMixin: Stacks two vectors vertically as if they were row vectors to form a matrix with two rows.
stack(T[], int[], int[], int, T[], int[], int[], T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooConcat: Stacks two sparse COO matrices along columns.
stack(T[], int[], T[], int[], T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooConcat: Stacks two sparse COO vectors joining along columns as if they were row vectors.
stack(T, int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Stacks matrices along specified axis.
stack(T, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Stacks two vectors along specified axis.
stack(T, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Stacks two vectors along specified axis.
stack(T, int) - Method in interface org.flag4j.arrays.backend.VectorMixin: Stacks two vectors along specified axis.
standard(double[], int[], int[], Shape, double[], int[], int[], Shape) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatMult: Computes the matrix multiplication between two sparse matrices using a standard algorithm.
standard(double[], int[], int[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatMult: Computes the matrix multiplication between a real sparse matrix and a real dense matrix using a standard algorithm.
standard(double[], int[], int[], Shape, Complex128[], int[], int[], Shape) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatrixMultiplication: Computes the matrix multiplication between two sparse matrices using a standard algorithm.
standard(double[], int[], int[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the matrix multiplication between a real sparse matrix and a dense field matrix using a standard algorithm.
standard(double[], Shape, double[], int[], int[], Shape) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatMult: Computes the matrix multiplication between a real dense matrix and a real sparse matrix using a standard algorithm.
standard(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the matrix multiplication between two real dense matrices using the standard algorithm.
standard(double[], Shape, int[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseTranspose: Computes the transpose of a tensor.
standard(double[], Shape, int[], double[]) - Static method in class org.flag4j.linalg.ops.dense.DenseTranspose: Computes the transpose of a tensor.
standard(double[], Shape, int, int) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseTranspose: Transposes tensor along specified axes using a standard transpose algorithm.
standard(double[], Shape, T[], int[], int[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the matrix multiplication between a real dense matrix and a sparse field matrix using a standard algorithm.
standard(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication between a real dense matrix with a dense field matrix using the standard algorithm.
standard(Object[], Shape, int[], Object[]) - Static method in class org.flag4j.linalg.ops.dense.DenseTranspose: Computes the transpose of a tensor.
standard(Object[], Shape, int, int, Object[]) - Static method in class org.flag4j.linalg.ops.dense.DenseTranspose: Transposes tensor along specified axes using a standard transpose algorithm.
standard(Complex128[], int[], int[], Shape, double[], int[], int[], Shape) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatrixMultiplication: Computes the matrix multiplication between two sparse matrices using a standard algorithm.
standard(AbstractCsrFieldMatrix<?, ?, ?, T>, Matrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrMatMult: Computes the matrix multiplication between a complex sparse CSR matrix and a real dense matrix.
standard(AbstractDenseFieldMatrix<?, ?, T>, CsrMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrMatMult: Computes the matrix multiplication between a real dense matrix and a real sparse CSR matrix.
standard(AbstractCsrSemiringMatrix<?, ?, ?, T>, AbstractDenseSemiringMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.semiring_ops.DenseCsrSemiringMatMult: Computes the matrix multiplication between a sparse CSR matrix and a dense field matrix.
standard(AbstractDenseSemiringMatrix<?, ?, T>, AbstractCsrSemiringMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.semiring_ops.DenseCsrSemiringMatMult: Computes the matrix multiplication between a dense matrix and a sparse CSR field matrix.
standard(Matrix, AbstractCsrFieldMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrMatMult: Computes the matrix multiplication between a real dense matrix and a real sparse CSR matrix.
standard(Matrix, CsrMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real.RealCsrDenseMatrixMultiplication: Computes the matrix multiplication between a real dense matrix and a real sparse CSR matrix.
standard(Shape, T[], int[], int[], Shape, T[], int[], int[], T[], Semiring<T>) - Static method in class org.flag4j.linalg.ops.sparse.csr.semiring_ops.SemiringCsrMatMult: Computes the matrix multiplication between two sparse CSR matrices.
standard(CsrCMatrix, CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrMatMult: Computes the matrix multiplication between two sparse CSR matrices.
standard(CsrMatrix, AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrMatMult: Computes the matrix multiplication between a real sparse CSR matrix and a complex dense matrix.
standard(CsrMatrix, Matrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real.RealCsrDenseMatrixMultiplication: Computes the matrix multiplication between a real sparse CSR matrix and a real dense matrix.
standard(CsrMatrix, CsrCMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrMatMult: Computes the matrix multiplication between two sparse CSR matrices.
standard(CsrMatrix, CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrMatMult: Computes the matrix multiplication between two sparse CSR matrices.
standard(T[], int[], int[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the matrix multiplication between a real sparse matrix and a dense field matrix using a standard algorithm.
standard(T[], int[], int[], Shape, T[], int[], int[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringMatMult: Computes the matrix multiplication between two sparse matrices using a standard algorithm.
standard(T[], int[], int[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMult: Computes the matrix multiplication between a sparse COO matrix and a dense matrix using a standard algorithm.
standard(T[], Shape, double[], int[], int[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the matrix multiplication between a real dense matrix and a sparse field matrix using a standard algorithm.
standard(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the matrix multiplication between a real dense matrix with a dense field matrix using the standard algorithm.
standard(T[], Shape, T[], int[], int[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMult: Computes the matrix multiplication between a dense matrix and a sparse COO matrix using a standard algorithm.
standard(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the matrix multiplication between two dense matrices using the standard algorithm.
STANDARD - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
STANDARD - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
STANDARD_VECTOR - Enum constant in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames
STANDARD_VECTOR - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
standardAsSparse(CsrCMatrix, CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrMatMult: Computes the matrix multiplication between two sparse CSR matrices and returns the result as a sparse matrix.
standardAsSparse(CsrMatrix, CsrCMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrMatMult: Computes the matrix multiplication between two sparse CSR matrices and returns the result as a sparse matrix.
standardAsSparse(CsrMatrix, CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrMatMult: Computes the matrix multiplication between two sparse CSR matrices and returns the result as a sparse matrix.
standardConcurrent(double[], Shape, int[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseTranspose: Computes the transpose of a tensor using a concurrent implementation.
standardConcurrent(double[], Shape, int, int) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseTranspose: Transposes tensor along specified axes using a standard concurrent transpose algorithm.
standardConcurrent(Object[], Shape, int[], Object[]) - Static method in class org.flag4j.linalg.ops.dense.DenseTranspose: Computes the transpose of a tensor using a concurrent implementation.
standardConcurrent(Object[], Shape, int, int, Object[]) - Static method in class org.flag4j.linalg.ops.dense.DenseTranspose: Transposes tensor along specified axes using a standard concurrent transpose algorithm.
standardConcurrentHerm(T[], Shape, int[], T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingHermitianTranspose: Computes the conjugate transpose of a tensor using a concurrent implementation.
standardConcurrentHerm(T[], Shape, int, int, T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingHermitianTranspose: Computes complex conjugate transpose of a tensor along specified axes using a standard concurrent transpose algorithm.
standardHerm(T[], Shape, int[], T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingHermitianTranspose: Computes the conjugate transpose of a tensor using a standard implementation.
standardHerm(T[], Shape, int, int, T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingHermitianTranspose: Computes complex conjugate transpose of a tensor along specified axes using a standard transpose algorithm.
standardIntMatrix(int[][]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseTranspose: Transposes a matrix using the standard algorithm.
standardMatrix(double[], int, int) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseTranspose: Transposes a matrix using the standard algorithm.
standardMatrix(Object[], int, int, Object[]) - Static method in class org.flag4j.linalg.ops.dense.DenseTranspose: Transposes a matrix using the standard algorithm.
standardMatrixConcurrent(double[], int, int) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseTranspose: Computes the transpose of a matrix using a standard concurrent algorithm.
standardMatrixConcurrent(Object[], int, int, Object[]) - Static method in class org.flag4j.linalg.ops.dense.DenseTranspose: Computes the transpose of a matrix using a standard concurrent algorithm.
standardMatrixConcurrentHerm(T[], int, int, T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingHermitianTranspose: Computes the complex conjugate transpose of a matrix using a standard concurrent algorithm.
standardMatrixHerm(T[], int, int, T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingHermitianTranspose: Computes complex conjugate transpose of a matrix using the standard algorithm.
standardToSparse(Shape, T[], int[], int[], Shape, T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.csr.semiring_ops.SemiringCsrMatMult: Computes the matrix multiplication between two sparse CSR matrices and returns the result as a sparse matrix.
standardTranspose(CsrMatrix, AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrMatMult: Computes the matrix multiplication between a real sparse CSR matrix and the transpose of a complex dense matrix.
standardTranspose(CsrMatrix, Matrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real.RealCsrDenseMatrixMultiplication: Computes the matrix multiplication between a real sparse CSR matrix and the transpose of a real dense matrix.
standardVector(double[], int[], int[], Shape, double[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatMult: Computes the multiplication between a sparse matrix and a sparse vector using a standard algorithm.
standardVector(double[], int[], int[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatMult: Computes the sparse matrix dense vector multiplication using a standard algorithm.
standardVector(double[], int[], int[], Shape, Complex128[], int[], Shape) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatrixMultiplication: Computes the multiplication between a sparse matrix and a sparse vector using a standard algorithm.
standardVector(double[], int[], int[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the sparse matrix dense vector multiplication using a standard algorithm.
standardVector(double[], Shape, double[], int[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatMult: Computes the dense matrix sparse vector multiplication using a standard algorithm.
standardVector(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatMult: Computes the multiplication of a real dense matrix with a real dense vector using the standard algorithm.
standardVector(double[], Shape, T[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the dense matrix sparse vector multiplication using a standard algorithm.
standardVector(double[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the multiplication of a real dense matrix with a dense field vector using the standard algorithm.
standardVector(Complex128[], int[], int[], Shape, double[], int[], Shape) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatrixMultiplication: Computes the multiplication between a sparse matrix and a sparse vector using a standard algorithm.
standardVector(AbstractCsrFieldMatrix<?, ?, ?, T>, Vector) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrMatMult: Computes the matrix-vector multiplication between a real sparse CSR matrix and a complex dense vector.
standardVector(AbstractCsrSemiringMatrix<?, ?, ?, T>, AbstractDenseSemiringVector<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.semiring_ops.DenseCsrSemiringMatMult: Computes the matrix-vector multiplication between a real sparse CSR matrix and a dense field vector.
standardVector(Shape, T[], int[], int[], int, T[], int[], T[], T) - Static method in class org.flag4j.linalg.ops.sparse.csr.semiring_ops.SemiringCsrMatMult: Computes the matrix-vector multiplication between a sparse CSR matrix and a sparse COO vector.
standardVector(CsrCMatrix, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrMatMult: Computes the matrix-vector multiplication between a real sparse CSR matrix and a complex sparse COO vector.
standardVector(CsrMatrix, AbstractDenseFieldVector<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrMatMult: Computes the matrix-vector multiplication between a real sparse CSR matrix and a complex dense vector.
standardVector(CsrMatrix, Vector) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real.RealCsrDenseMatrixMultiplication: Computes the matrix-vector multiplication between a real sparse CSR matrix and a real dense vector.
standardVector(CsrMatrix, CooCVector) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrMatMult: Computes the matrix-vector multiplication between a real sparse CSR matrix and a complex sparse COO vector.
standardVector(CsrMatrix, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrMatMult: Computes the matrix-vector multiplication between a real sparse CSR matrix and a real sparse COO vector.
standardVector(T[], int[], int[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the sparse matrix dense vector multiplication using a standard algorithm.
standardVector(T[], int[], int[], Shape, T[], int[], T[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringMatMult: Computes the multiplication between a sparse matrix and a sparse vector using a standard algorithm.
standardVector(T[], int[], int[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMult: Computes the sparse matrix dense vector multiplication using a standard algorithm.
standardVector(T[], Shape, double[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatMult: Computes the dense matrix sparse vector multiplication using a standard algorithm.
standardVector(T[], Shape, double[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMult: Computes the multiplication of a real dense matrix with a dense field vector using the standard algorithm.
standardVector(T[], Shape, T[], int[], T[]) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMult: Computes the dense matrix sparse vector multiplication using a standard algorithm.
standardVector(T[], Shape, T[], Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMult: Computes the multiplication of a dense matrix with a dense vector using the standard algorithm.
std - Variable in class org.flag4j.rng.distributions.RealGaussian: Standard deviation of the Gaussian distribution.
storeReflectors - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Flag indicating if Q should be computed in the decomposition.
stridedFillZeros(double[], int, int) - Static method in class org.flag4j.util.ArrayBuilder: Fills an array with zeros separated by the given stride.
stridedFillZeros(double[], int, int, int) - Static method in class org.flag4j.util.ArrayBuilder: Fills an array with a range of zeros, each separated by the given stride.
stridedFillZeros(Complex128[], int, int) - Static method in class org.flag4j.util.ArrayBuilder: Fills an array with zeros separated by the given stride.
stridedFillZeros(Complex128[], int, int, int) - Static method in class org.flag4j.util.ArrayBuilder: Fills an array with a range of zeros, each separated by the given stride.
StringUtils - Class in org.flag4j.util: A class which provides simple utility methods for strings.
sub(double) - Method in class org.flag4j.algebraic_structures.Complex128: Computes difference of an element of this field and a real number.
sub(double) - Method in interface org.flag4j.algebraic_structures.Field: Computes difference of an element of this field and a real number.
sub(double) - Method in class org.flag4j.algebraic_structures.RealFloat32: Computes difference of an element of this field and a real number.
sub(double) - Method in class org.flag4j.algebraic_structures.RealFloat64: Computes difference of an element of this field and a real number.
sub(double) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Subtracts a primitive scalar value from each entry of this tensor.
sub(double) - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Subtracts a primitive scalar value from each entry of this tensor.
sub(double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Subtracts a primitive scalar value from each entry of this tensor.
sub(double) - Method in class org.flag4j.arrays.sparse.CooMatrix: Subtracts a scalar value from each non-zero element of this tensor.
sub(double) - Method in class org.flag4j.arrays.sparse.CooTensor: Subtracts a scalar value from each non-zero value of this tensor.
sub(double) - Method in class org.flag4j.arrays.sparse.CooVector: Subtracts a scalar value non-zero from each element of this tensor.
sub(double[], double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Computes the element-wise subtraction of two tensors.
sub(double[], double, double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Subtracts a scalar from every element of a tensor.
sub(double[], T, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Subtracts a scalar value from all data of a tensor.
sub(double[], V, V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Subtracts a scalar value from each entry of the src tensor.
sub(float) - Method in class org.flag4j.algebraic_structures.Complex64: Computes difference of an element of this field and a real number.
sub(Double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Subtracts a scalar value from each entry of this tensor.
sub(Double) - Method in class org.flag4j.arrays.sparse.CooTensor: Subtracts a scalar value from each non-zero entry of this tensor.
sub(Double) - Method in class org.flag4j.arrays.sparse.CooVector: Subtracts a scalar value from each non-zero entry of this tensor.
sub(Complex128) - Method in class org.flag4j.algebraic_structures.Complex128: Computes difference of two elements of this field.
sub(Complex128) - Method in class org.flag4j.arrays.dense.Matrix: Subtracts a complex-valued scalar from each entry of this matrix.
sub(Complex128) - Method in class org.flag4j.arrays.dense.Tensor: Subtracts a complex-valued scalar from each element of this tensor.
sub(Complex128) - Method in class org.flag4j.arrays.dense.Vector: Subtracts a complex-valued scalar from each entry of this vector.
sub(Complex128) - Method in class org.flag4j.arrays.sparse.CooMatrix: Subtracts a scalar value from each non-zero element of this tensor.
sub(Complex128) - Method in class org.flag4j.arrays.sparse.CooVector: Subtracts a scalar value from each non-zero entry of this tensor.
sub(Complex128) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Subtracts a complex-valued scalar from all non-zero data of this sparse matrix.
sub(Complex64) - Method in class org.flag4j.algebraic_structures.Complex64: Computes difference of two elements of this field.
sub(RealFloat32) - Method in class org.flag4j.algebraic_structures.RealFloat32: Computes difference of two elements of this field.
sub(RealFloat64) - Method in class org.flag4j.algebraic_structures.RealFloat64: Computes difference of two elements of this field.
sub(RealInt16) - Method in class org.flag4j.algebraic_structures.RealInt16: Computes difference of two elements of this ring.
sub(RealInt32) - Method in class org.flag4j.algebraic_structures.RealInt32: Computes difference of two elements of this field.
sub(AbstractCooFieldMatrix<?, ?, ?, T>, AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatrixOps: Subtracts a complex dense matrix from a complex sparse matrix.
sub(AbstractCooFieldTensor<?, ?, T>, Field<T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldTensorOps: Subtracts a scalar from a sparse COO tensor.
sub(AbstractCooFieldTensor<?, ?, T>, AbstractDenseFieldTensor<?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldTensorOps: Subtracts a complex dense tensor from a complex sparse tensor.
sub(AbstractCooFieldVector<?, ?, ?, ?, T>, AbstractDenseFieldVector<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldVectorOps: Subtracts a complex dense vector from a complex sparse vector.
sub(AbstractCsrFieldMatrix<?, ?, ?, T>, AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.field_ops.DenseCsrFieldOps: Computes the element-wise difference of two matrices.
sub(AbstractDenseFieldMatrix<?, ?, T>, AbstractCooFieldMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatrixOps: Subtracts a real sparse matrix from a real dense matrix.
sub(AbstractDenseFieldMatrix<?, ?, T>, AbstractCsrFieldMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.field_ops.DenseCsrFieldOps: Computes the element-wise difference of two matrices.
sub(AbstractDenseFieldMatrix<?, ?, T>, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatrixOps: Subtracts a real sparse matrix from a complex dense matrix.
sub(AbstractDenseFieldMatrix<?, ?, T>, CsrMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrOps: Computes the element-wise difference of two matrices.
sub(AbstractDenseFieldTensor<?, T>, AbstractCooFieldTensor<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldTensorOps: Computes the element-wise tensor a complex sparse tensor from a complex dense tensor.
sub(AbstractDenseFieldTensor<?, T>, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooOps: Adds a dense complex tensor to a real sparse tensor.
sub(AbstractDenseFieldVector<?, ?, T>, AbstractCooFieldVector<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldVectorOps: Subtracts a complex sparse vector from a complex dense vector.
sub(AbstractDenseFieldVector<?, ?, T>, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Subtracts a real sparse vector from a complex dense vector.
sub(CMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the difference of this matrix with a complex dense matrix.
sub(CTensor) - Method in class org.flag4j.arrays.dense.Tensor: Computes the element-wise difference between two tensors of the same shape.
sub(CVector) - Method in class org.flag4j.arrays.dense.Vector: Subtracts a complex dense vector from this vector.
sub(CVector, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseVectorOps: Subtracts a real sparse vector from a complex dense vector.
sub(Matrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the element-wise difference between two tensors of the same shape.
sub(Matrix, CooCMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooMatOps: Subtracts a real sparse matrix from a real dense matrix.
sub(Matrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatrixOps: Subtracts a real sparse matrix from a real dense matrix.
sub(Matrix, CsrCMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_complex.RealComplexCsrDenseOps: Computes the element-wise difference of two matrices.
sub(RingMatrix<T>) - Method in class org.flag4j.arrays.dense.RingMatrix: Computes the element-wise difference of two matrices.
sub(SemiringMatrix<T>) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Computes the element-wise difference of two matrices.
sub(Tensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise difference between two tensors of the same shape.
sub(Tensor, CooCTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooOps: Subtracts a sparse complex tensor from a real dense tensor.
sub(Tensor, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseCooTensorOps: Subtracts a real sparse tensor from a real dense tensor.
sub(Vector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise difference between two tensors of the same shape.
sub(Vector, CooCVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseVectorOps: Subtracts a complex sparse vector from a real dense vector.
sub(Vector, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseVectorOps: Subtracts a real sparse vector from a real dense vector.
sub(Shape, double[], Shape, T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Computes the element-wise subtraction of two tensors.
sub(Shape, T[], int[], Shape, T[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.ring_ops.CooRingVectorOps: Computes the element-wise vector subtraction between two real sparse vectors.
sub(Shape, T[], Shape, double[], T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Computes the element-wise subtraction of two tensors.
sub(Shape, T[], Shape, T[], T[]) - Static method in class org.flag4j.linalg.ops.dense.ring_ops.DenseRingTensorOps: Computes the element-wise difference between two dense tensors.
sub(Shape, V[], int[][], Shape, V[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.coo.ring_ops.CooRingTensorOps: Sums two complex sparse COO tensors and stores result in a new COO tensor.
sub(Shape, V[], int[], int[], Shape, V[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.ring_ops.CooRingMatrixOps: Computes the element-wise difference of two sparse matrices.
sub(SmartMatrix) - Method in class org.flag4j.arrays.SmartMatrix: Computes the element-wise difference of two matrices.
sub(CooCMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the element-wise difference between two tensors of the same shape.
sub(CooCMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the difference of this matrix with a real sparse COO matrix.
sub(CooCMatrix, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Adds a double all data (including zero values) of a complex sparse matrix.
sub(CooCMatrix, Matrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooMatOps: Subtracts a real sparse matrix from a real dense matrix.
sub(CooCMatrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Subtracts a real sparse matrix from a complex sparse matrix.
sub(CooCTensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise difference between two tensors of the same shape.
sub(CooCTensor) - Method in class org.flag4j.arrays.dense.Tensor: Computes the element-wise difference between two tensors of the same shape and stores the result in this tensor.
sub(CooCTensor, double) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooOps: Adds a scalar to a real sparse COO tensor.
sub(CooCTensor, Tensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooOps: Subtracts a real dense tensor from a complex sparse tensor.
sub(CooCTensor, CooTensor) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexCooTensorOps: Computes difference of two sparse COO tensors and stores result in a new COO tensor.
sub(CooCVector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise difference between two tensors of the same shape.
sub(CooCVector) - Method in class org.flag4j.arrays.dense.Vector: Subtracts a complex sparse vector from this vector.
sub(CooCVector, Vector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseVectorOps: Subtracts a complex dense vector from a complex sparse vector.
sub(CooCVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseVectorOps: Computes the element-wise vector subtraction between a real sparse vector and a complex sparse vector.
sub(CooMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the element-wise difference between two tensors of the same shape.
sub(CooMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the difference of this matrix with a real sparse COO matrix.
sub(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Computes the element-wise difference to two matrices.
sub(CooMatrix) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the element-wise difference between two tensors of the same shape.
sub(CooMatrix, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixOps: Subtracts a double from all data (including zero values) of a real sparse matrix.
sub(CooMatrix, Complex128) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Adds a complex number to all data (including zero values) of a real sparse matrix.
sub(CooMatrix, AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatrixOps: Subtracts a real sparse matrix from a real dense matrix.
sub(CooMatrix, Matrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatrixOps: Subtracts a real dense matrix from a real sparse matrix.
sub(CooMatrix, CooCMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseMatOps: Subtracts a complex sparse matrix from a real sparse matrix.
sub(CooMatrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixOps: Computes the subtraction between two real sparse matrices.
sub(CooSemiringMatrix<T>) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Computes the element-wise difference of two matrices.
sub(CooTensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise difference between two tensors of the same shape.
sub(CooTensor) - Method in class org.flag4j.arrays.dense.Tensor: Computes the element-wise difference between two tensors of the same shape.
sub(CooTensor) - Method in class org.flag4j.arrays.sparse.CooTensor: Computes the element-wise difference between two tensors of the same shape.
sub(CooTensor, double) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseCooTensorOps: Subtracts a scalar from each entry of a real sparse COO tensor.
sub(CooTensor, Complex128) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseCooOps: Subtracts a scalar from a real sparse COO tensor.
sub(CooTensor, AbstractDenseFieldTensor<?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooOps: Subtracts a complex dense tensor from a real sparse tensor.
sub(CooTensor, Tensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseCooTensorOps: Subtracts a real dense tensor from a real sparse tensor.
sub(CooTensor, CooCTensor) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexCooTensorOps: Computes difference of two sparse COO tensors and stores result in a new COO tensor.
sub(CooTensor, CooTensor) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooTensorOps: Computes difference between two sparse COO tensors and stores result in a new COO tensor.
sub(CooVector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise difference between two tensors of the same shape.
sub(CooVector) - Method in class org.flag4j.arrays.dense.Vector: Subtracts a real sparse vector from this vector.
sub(CooVector) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the element-wise difference between two tensors of the same shape.
sub(CooVector, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooVectorOps: Subtracts a real number from each entry of a sparse vector, including the zero data.
sub(CooVector, Complex128) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseVectorOps: Subtracts a real number from each entry of a sparse vector, including the zero data.
sub(CooVector, AbstractDenseFieldVector<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Subtracts a complex dense vector from a complex sparse vector.
sub(CooVector, Vector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseVectorOps: Subtracts a real dense vector from a real sparse vector.
sub(CooVector, CooCVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseVectorOps: Computes the element-wise vector subtraction between a real sparse vector and a complex sparse vector.
sub(CooVector, CooVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooVectorOps: Computes the element-wise vector subtraction between two real sparse vectors.
sub(CsrCMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the difference of this matrix with a real sparse CSR matrix.
sub(CsrCMatrix, Matrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_complex.RealComplexCsrDenseOps: Computes the element-wise difference of two matrices.
sub(CsrCMatrix, CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrOps: Computes the element-wise difference of two matrices.
sub(CsrMatrix) - Method in class org.flag4j.arrays.dense.Matrix: Computes the difference of this matrix with a real sparse CSR matrix.
sub(CsrMatrix) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the element-wise difference between two tensors of the same shape.
sub(CsrMatrix, AbstractDenseFieldMatrix<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real_field_ops.RealFieldDenseCsrOps: Computes the element-wise difference of two matrices.
sub(CsrMatrix, Matrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.csr.real.RealCsrDenseOps: Computes the element-wise difference of two matrices.
sub(CsrMatrix, CsrCMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real_complex.RealComplexCsrOps: Computes the element-wise difference of two matrices.
sub(T) - Method in interface org.flag4j.algebraic_structures.Ring: Computes difference of two elements of this ring.
sub(T) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Computes the element-wise difference of two matrices.
sub(T) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the element-wise difference between two tensors of the same shape.
sub(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingMatrix: Computes the element-wise difference between two tensors of the same shape.
sub(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingTensor: Computes the element-wise difference between two tensors of the same shape.
sub(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingVector: Computes the element-wise difference between two tensors of the same shape.
sub(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCsrRingMatrix: Computes the element-wise difference between two tensors of the same shape.
sub(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingMatrix: Computes the element-wise difference of two matrices.
sub(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingTensor: Computes the element-wise difference between two tensors of the same shape.
sub(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingVector: Computes the element-wise difference between two tensors of the same shape.
sub(T) - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Computes the element-wise difference between two tensors of the same shape.
sub(T) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Warning: throws UnsupportedOperationException as subtraction is not defined for general semiring matrices.
sub(T[], double, T[]) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseOps: Subtracts a scalar value from all data of a tensor.
sub(T[], T, T[]) - Static method in class org.flag4j.linalg.ops.common.ring_ops.RingOps: Subtracts a scalar value from each entry of an array.
sub(V) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Subtracts a scalar value from each entry of this tensor.
sub(V) - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Subtracts a scalar value from each entry of this tensor.
sub(V[], double, V[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Subtracts a primitive scalar value from each entry of the src tensor.
sub(W) - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Subtracts a scalar value from each entry of this tensor.
subDiagonal - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Sub-diagonal of the upper quasi-triangular matrix.
subEq(double) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Subtracts a scalar primitive value from each entry of this tensor and stores the result in this tensor.
subEq(double) - Method in interface org.flag4j.arrays.backend.field_arrays.TensorOverField: Subtracts a scalar primitive value from each entry of this tensor and stores the result in this tensor.
subEq(double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Subtracts a scalar primitive value from each entry of this tensor and stores the result in this tensor.
subEq(double[], double) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Subtracts a scalar from each entry of this tensor and stores the result in the tensor.
subEq(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Computes element-wise subtraction between tensors and stores the result in the first tensor.
subEq(Double) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Subtracts a scalar value from each entry of this tensor and stores the result in this tensor.
subEq(Double) - Method in class org.flag4j.arrays.sparse.CooTensor: Subtracts a scalar value from each non-zero entry of this tensor and stores the result in this tensor.
subEq(Double) - Method in class org.flag4j.arrays.sparse.CooVector: Subtracts a scalar value from each non-zero entry of this tensor and stores the result in this tensor.
subEq(AbstractDenseFieldMatrix<?, ?, T>, AbstractCooFieldMatrix<?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatrixOps: Subtracts a complex sparse matrix from a complex dense matrix and stores the result in the dense matrix.
subEq(AbstractDenseFieldMatrix<?, ?, T>, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooMatrixOps: Subtracts a real sparse matrix from a complex dense matrix and stores the result in the first matrix.
subEq(AbstractDenseFieldTensor<?, T>, AbstractCooFieldTensor<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldTensorOps: Computes element-wise subtraction of a complex dense tensor with a complex sparse tensor.
subEq(AbstractDenseFieldTensor<?, T>, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooOps: Computes element-wise subtraction between a complex dense tensor and a real sparse tensor.
subEq(AbstractDenseFieldVector<?, ?, T>, AbstractCooFieldVector<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldVectorOps: Computes the element-wise subtraction between a dense complex vector and sparse complex vectors.
subEq(AbstractDenseFieldVector<?, ?, T>, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_field_ops.RealFieldDenseCooVectorOps: Computes the vector subtraction between a dense complex vector and a real sparse vector.
subEq(Matrix, CooMatrix) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseMatrixOps: Subtracts a real sparse matrix from a real dense matrix and stores the result in the first matrix.
subEq(Tensor) - Method in class org.flag4j.arrays.dense.CTensor: Computes the element-wise difference of this tensor with a real dense tensor and stores the result in this tensor.
subEq(Tensor, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseCooTensorOps: Subtracts a real sparse tensor from a real dense tensor and stores the result in the dense tensor.
subEq(Vector) - Method in class org.flag4j.arrays.dense.CVector: Computes the element-wise difference between two vectors of the same shape.
subEq(Vector) - Method in class org.flag4j.arrays.dense.Vector: Computes the element-wise difference between two tensors and stores the result in this tensor.
subEq(Vector, CooVector) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseVectorOps: Adds a real dense vector to a real sparse vector and stores the result in the first vector.
subEq(T) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the element-wise difference between two tensors of the same shape and stores the result in this tensor.
subEq(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingMatrix: Computes the element-wise difference between two matrices of the same shape and stores the result in this matrix.
subEq(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingTensor: Computes the element-wise difference between two tensors of the same shape and stores the result in this tensor.
subEq(T) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractDenseRingVector: Computes the element-wise difference between two vectors of the same shape and stores the result in this vectors.
subEq(V) - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Subtracts a scalar value from each entry of this tensor and stores the result in this tensor.
subEq(V) - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Subtracts a scalar value from each entry of this tensor and stores the result in this tensor.
subEq(W) - Method in interface org.flag4j.arrays.backend.ring_arrays.TensorOverRing: Subtracts a scalar value from each entry of this tensor and stores the result in this tensor.
SubSpace - Class in org.flag4j.linalg: This class contains several methods for computing the subspace of a matrix.
SubVisitor - Class in org.flag4j.arrays.backend.smart_visitors
SubVisitor(MatrixMixin<?, ?, ?, ?>) - Constructor for class org.flag4j.arrays.backend.smart_visitors.SubVisitor
sum() - Method in interface org.flag4j.arrays.backend.field_arrays.FieldTensorMixin: Computes the sum of all values in this tensor.
sum() - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDoubleTensor: Computes the sum of all values in this tensor.
sum() - Method in interface org.flag4j.arrays.backend.ring_arrays.RingTensorMixin: Computes the sum of all values in this tensor.
sum() - Method in interface org.flag4j.arrays.backend.semiring_arrays.SemiringTensorMixin: Computes the sum of all values in this tensor.
sum() - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Computes the sum of all values in this tensor.
sum(double...) - Static method in class org.flag4j.linalg.ops.common.real.AggregateReal: Computes the sum of all data in this tensor.
sum(Complex128...) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the sum of all data of specified array.
sum(Complex64...) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the sum of all data of specified array.
sum(RealFloat32...) - Static method in class org.flag4j.algebraic_structures.RealFloat32: Computes the sum of all data of specified array.
sum(RealFloat64...) - Static method in class org.flag4j.algebraic_structures.RealFloat64: Computes the sum of all data of specified array.
sum(T...) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.AggregateSemiring: Computes the sum of all data in this tensor.
Supported Projections: - Search tag in class org.flag4j.linalg.transformations.Projection: Section
SVD<T> - Class in org.flag4j.linalg.decompositions.svd: This abstract class specifies methods for computing the singular value decomposition (SVD) of a matrix.
SVD(boolean, boolean) - Constructor for class org.flag4j.linalg.decompositions.svd.SVD: Creates a decomposer to compute the Schur decomposition.
swap(double[], int, int) - Static method in class org.flag4j.util.ArrayUtils: Swaps to elements in an array.
swap(int[], int, int) - Static method in class org.flag4j.util.ArrayUtils: Swaps to elements in an array.
swap(Object[], int, int) - Static method in class org.flag4j.util.ArrayUtils: Swaps to elements in an array.
swapAxes(int, int) - Method in class org.flag4j.arrays.Shape: Swaps two axes of this shape.
swapCols(int, int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Swaps specified columns in the matrix.
swapCols(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Swaps specified columns in the matrix.
swapCols(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Swaps specified columns in the matrix.
swapCols(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Swaps specified columns in the matrix.
swapCols(int, int) - Method in class org.flag4j.arrays.dense.Matrix: Swaps specified columns in the matrix.
swapCols(int, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Swaps specified columns in the matrix.
swapCols(int, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Swaps specified columns in the matrix.
swapCols(int, int) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Swaps two columns in this permutation matrix.
swapCols(int, int) - Method in class org.flag4j.linalg.decompositions.lu.LU: Tracks the swapping of two columns during gaussian elimination with full pivoting.
swapCols(int, int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Swaps two columns, over a specified range, within the Balancer.balancedMatrix matrix.
swapCols(int, int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.ComplexBalancer: Swaps two columns, over a specified range, within the Balancer.balancedMatrix matrix.
swapCols(int, int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.RealBalancer: Swaps two columns, over a specified range, within the Balancer.balancedMatrix matrix.
swapCols(Shape, Object[], int[], int[], int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooManipulations: Swaps two columns, in place, in a sparse COO matrix.
swapCols(Shape, T[], int, int) - Static method in class org.flag4j.linalg.ops.dense.DenseOps: Swaps specified columns in the matrix.
swapCols(CooMatrix, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixManipulations: Swaps two columns, in place, in a sparse matrix.
swapCols(CsrMatrix, int, int) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrManipulations: Swaps two columns in a sparse CSR matrix.
swapCols(T[], int[], int[], int, int) - Static method in class org.flag4j.linalg.ops.sparse.csr.CsrOps: Swaps two columns in a sparse CSR matrix.
swapColsUnsafe(Shape, double[], int, int, int, int) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Swaps two columns, over a specified range of rows, within a matrix.
swapColsUnsafe(Shape, T[], int, int, int, int) - Static method in class org.flag4j.linalg.ops.dense.DenseOps: Swaps two columns, over a specified range of rows, within a matrix.
swapRows(int, int) - Method in interface org.flag4j.arrays.backend.MatrixMixin: Swaps specified rows in the matrix.
swapRows(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Swaps specified rows in the matrix.
swapRows(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Swaps specified rows in the matrix.
swapRows(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Swaps specified rows in the matrix.
swapRows(int, int) - Method in class org.flag4j.arrays.dense.Matrix: Swaps specified rows in the matrix.
swapRows(int, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Swaps specified rows in the matrix.
swapRows(int, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Swaps specified rows in the matrix.
swapRows(int, int) - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Swaps two rows in this permutation matrix.
swapRows(int, int) - Method in class org.flag4j.linalg.decompositions.lu.LU: Tracks the swapping of two rows during gaussian elimination with partial or full pivoting.
swapRows(int, int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Swaps two rows, over a specified range, within the Balancer.balancedMatrix matrix.
swapRows(int, int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.ComplexBalancer: Swaps two rows, over a specified range, within the Balancer.balancedMatrix matrix.
swapRows(int, int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.RealBalancer: Swaps two rows, over a specified range, within the Balancer.balancedMatrix matrix.
swapRows(Shape, Object[], int[], int[], int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooManipulations: Swaps two rows, in place, in a sparse COO matrix.
swapRows(Shape, T[], int, int) - Static method in class org.flag4j.linalg.ops.dense.DenseOps: Swaps specified rows in the matrix.
swapRows(CooMatrix, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixManipulations: Swaps two rows, in place, in a sparse matrix.
swapRows(CsrMatrix, int, int) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrManipulations: Swaps two rows in a sparse CSR matrix.
swapRows(T[], int[], int[], int, int) - Static method in class org.flag4j.linalg.ops.sparse.csr.CsrOps: Swaps two rows in a sparse CSR matrix.
swapRowsUnsafe(Shape, double[], int, int, int, int) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Swaps two rows, over a specified range of columns, within a matrix.
swapRowsUnsafe(Shape, T[], int, int, int, int) - Static method in class org.flag4j.linalg.ops.dense.DenseOps: Swaps two rows, over a specified range of columns, within a matrix.
symmetry() - Method in record class org.flag4j.io.MatrixMarketHeader: Returns the value of the symmetry record component.
SymmHess - Class in org.flag4j.linalg.decompositions.hess: Computes the Hessenburg decomposition of a real dense symmetric matrix.
SymmHess() - Constructor for class org.flag4j.linalg.decompositions.hess.SymmHess: Constructs a Hessenberg decomposer for symmetric matrices.
SymmHess(boolean) - Constructor for class org.flag4j.linalg.decompositions.hess.SymmHess: Constructs a Hessenberg decomposer for symmetric matrices.
SymmHess(boolean, boolean) - Constructor for class org.flag4j.linalg.decompositions.hess.SymmHess: Constructs a Hessenberg decomposer for symmetric matrices.
symmLeftRightMultReflector(Matrix, double[], double, int, double[]) - Static method in class org.flag4j.linalg.transformations.Householder: Applies a Householder matrix H=I-invalid input: '&alpha'vv^T, represented by the vector v to a symmetric matrix A on both the left and right side.
SymmTriDiag - Class in org.flag4j.arrays.sparse: A real symmetric tri-diagonal matrix.
SymmTriDiag(double[], double[]) - Constructor for class org.flag4j.arrays.sparse.SymmTriDiag: Constructs a symmetric tri-diagonal matrix with the provided diagonal and off-diagonal data.

T

T - Variable in class org.flag4j.linalg.decompositions.schur.Schur: For storing the (possibly block) upper triangular matrix T in the Schur decomposition.
T() - Method in class org.flag4j.arrays.backend.AbstractTensor: Computes the transpose of a tensor by exchanging the first and last axes of this tensor.
T() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Computes the transpose of this matrix.
T() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Computes the transpose of a tensor by exchanging the first and last axes of this tensor.
T() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Computes the transpose of a tensor by exchanging the first and last axes of this tensor.
T() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Computes the transpose of a tensor by exchanging the first and last axes of this tensor.
T() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Computes the transpose of a tensor by exchanging the first and last axes of this tensor.
T() - Method in class org.flag4j.arrays.dense.Matrix: Computes the transpose of a tensor by exchanging the first and last axes of this tensor.
T() - Method in class org.flag4j.arrays.SmartMatrix: Computes the transpose of this matrix.
T() - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the transpose of a tensor by exchanging the first and last axes of this tensor.
T() - Method in class org.flag4j.arrays.sparse.CooVector: Computes the transpose of a tensor by exchanging the first and last axes of this tensor.
T() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the transpose of a tensor by exchanging the first and last axes of this tensor.
T() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Computes the transpose/inverse of this permutation matrix.
T(int...) - Method in class org.flag4j.arrays.backend.AbstractTensor: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.dense.Matrix: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.dense.Vector: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.sparse.CooTensor: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the transpose of this tensor.
T(int...) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the transpose of this tensor.
T(int, int) - Method in class org.flag4j.arrays.backend.AbstractTensor: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.dense.Matrix: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.dense.Vector: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.sparse.CooTensor: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the transpose of a tensor by exchanging axis1 and axis2.
T(int, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the transpose of a tensor by exchanging axis1 and axis2.
tan(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the trigonometric tangent value of a complex value.
tan(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the trigonometric tangent value of a complex value.
tanh(Complex128) - Static method in class org.flag4j.algebraic_structures.Complex128: Computes the hyperbolic tangent of a complex value.
tanh(Complex64) - Static method in class org.flag4j.algebraic_structures.Complex64: Computes the hyperbolic tangent of a complex value.
temp - Variable in class org.flag4j.linalg.decompositions.schur.Schur: Array for holding temporary values when computing the shifts.
TEN - Static variable in class org.flag4j.algebraic_structures.RealFloat32: The numerical value 10.0.
TEN - Static variable in class org.flag4j.algebraic_structures.RealFloat64: The numerical value 10.0.
TEN - Static variable in class org.flag4j.algebraic_structures.RealInt16: The numerical value 10.
TEN - Static variable in class org.flag4j.algebraic_structures.RealInt32: The numerical value 10.
Tensor - Class in org.flag4j.arrays.dense: A real dense tensor backed by a primitive double array.
Tensor(Object) - Constructor for class org.flag4j.arrays.dense.Tensor: Creates a tensor from an nD array.
Tensor(Tensor) - Constructor for class org.flag4j.arrays.dense.Tensor: Constructs a copy of the specified tensor.
Tensor(Shape) - Constructor for class org.flag4j.arrays.dense.Tensor: Creates a zero tensor with the shape.
Tensor(Shape, double) - Constructor for class org.flag4j.arrays.dense.Tensor: Creates a tensor with the specified shape filled with fillValue.
Tensor(Shape, double...) - Constructor for class org.flag4j.arrays.dense.Tensor: Creates a tensor with the specified data and shape.
Tensor(Shape, int...) - Constructor for class org.flag4j.arrays.dense.Tensor: Creates a tensor with the specified data and shape.
Tensor(Shape, Double[]) - Constructor for class org.flag4j.arrays.dense.Tensor: Creates a tensor with the specified data and shape.
Tensor(Shape, Integer[]) - Constructor for class org.flag4j.arrays.dense.Tensor: Creates a tensor with the specified data and shape.
tensorDot(CooCMatrix, int[], int[]) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CooFieldMatrix<T>, int[], int[]) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CooMatrix, int[], int[]) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CooRingMatrix<T>, int[], int[]) - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CooSemiringMatrix<T>, int[], int[]) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CooTensor, int[], int[]) - Method in class org.flag4j.arrays.sparse.CooTensor: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CooTensor, CooTensor, int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealCooTensorDot: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CooVector, int[], int[]) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CsrCMatrix, int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CsrFieldMatrix<T>, int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CsrMatrix, int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CsrMatrix, CsrMatrix, int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrMatrixTensorDot: Computes the tensor contraction of src1 with src2 over the specified set of axes.
tensorDot(CsrRingMatrix<T>, int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(CsrSemiringMatrix<T>, int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(T) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Computes the tensor dot product of this tensor with a second tensor.
tensorDot(T, int) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Computes the tensor contraction of this tensor with a specified tensor over the specified axes.
tensorDot(T, int[], int[]) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(T, int[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(T, int[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(T, int[], int[]) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(T, int[], int[]) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Computes the tensor contraction of this tensor with a specified tensor over the specified set of axes.
tensorDot(T, int, int) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Computes the tensor contraction of this tensor with a specified tensor over the specified axes.
TensorDot<T> - Class in org.flag4j.linalg.ops: The base class for all classes whose instances may be used to compute a tensor dot product.
TensorDot(Shape, T, Shape, T, int[], int[]) - Constructor for class org.flag4j.linalg.ops.TensorDot: Constructs a tensor dot product problem for computing the tensor contraction of two tensors over the specified set of axes.
tensorEquals(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseEquals: Checks if two dense tensors are equal.
tensorEquals(double[], Shape, T[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseEquals: Checks if two dense tensors are equal.
tensorEquals(AbstractDenseFieldTensor<?, T>, AbstractCooFieldTensor<?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldEquals: Checks if a complex dense tensor is equal to a complex sparse tensor.
tensorEquals(CTensor, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseEquals: Checks if a complex dense tensor is equal to a real sparse tensor.
tensorEquals(Tensor, AbstractDenseFieldTensor<?, T>) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseEquals: Checks if two real dense tensors are equal.
tensorEquals(Tensor, Tensor) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseEquals: Checks if two real dense tensors are equal.
tensorEquals(Tensor, CooCTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseEquals: Checks if a real dense tensor is equal to a complex sparse tensor.
tensorEquals(Tensor, CooTensor) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseEquals: Checks if a real dense tensor is equal to a real sparse tensor.
tensorEquals(CooTensor, CooCTensor) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseEquals: Checks if a real sparse tensor and complex sparse tensor are equal.
tensorEquals(T[], Shape, T[], Shape) - Static method in class org.flag4j.linalg.ops.dense.DenseEquals: Checks if two dense tensors are equal.
tensorHermTranspose(Shape, T[], int[][], int[], T[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.coo.ring_ops.CooRingHermTranspose: Computes the Hermitian transpose of a sparse COO tensor.
tensorHermTranspose(Shape, T[], int[][], int, int, T[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.coo.ring_ops.CooRingHermTranspose: Computes the Hermitian transpose of a sparse COO tensor by exchanging axis1 and axis2.
TensorInvert - Class in org.flag4j.linalg: This utility class provides static methods for computing the 'inverse' of a tensor with respect to some tensor dot product operation.
TensorOperation - Interface in org.flag4j.concurrency: Functional interface for general tensor operation.
TensorOverField<T,U,V,W> - Interface in org.flag4j.arrays.backend.field_arrays: This interface specifies methods which any tensor whose data are elements of a field should implement.
TensorOverRing<T,U,V,W> - Interface in org.flag4j.arrays.backend.ring_arrays: This interface specifies methods which any tensor whose data are elements of a ring should implement.
TensorOverSemiring<T,U,V,W> - Interface in org.flag4j.arrays.backend.semiring_arrays: This interface specifies methods which any tensor whose data are elements of a semiring should implement.
TensorReader - Class in org.flag4j.io: The TensorReader class provides several static methods for reading serialized tensors, matrices, and vectors from a file.
TensorShapeException - Exception Class in org.flag4j.util.exceptions: An exception to be thrown when there is an error related to tensor shapes.
TensorShapeException(String) - Constructor for exception class org.flag4j.util.exceptions.TensorShapeException: Creates a TensorShapeException to be thrown for a linear algebra related error.
tensorTr() - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Computes the generalized tensor trace of this tensor along first and second axes.
tensorTr(int, int) - Method in class org.flag4j.arrays.backend.primitive_arrays.AbstractDenseDoubleTensor: Computes the generalized trace of this tensor along the specified axes.
tensorTr(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Computes the generalized trace of this tensor along the specified axes.
tensorTr(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Computes the generalized trace of this tensor along the specified axes.
tensorTr(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Computes the generalized trace of this tensor along the specified axes.
tensorTr(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Computes the generalized trace of this tensor along the specified axes.
tensorTr(int, int) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Computes the generalized trace of this tensor along the specified axes.
tensorTr(int, int) - Method in interface org.flag4j.arrays.backend.semiring_arrays.TensorOverSemiring: Computes the generalized trace of this tensor along the specified axes.
tensorTr(int, int) - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the generalized trace of this tensor along the specified axes.
tensorTr(int, int) - Method in class org.flag4j.arrays.sparse.CooTensor: Computes the generalized trace of this tensor along the specified axes.
tensorTr(int, int) - Method in class org.flag4j.arrays.sparse.CooVector: Computes the generalized trace of this tensor along the specified axes.
tensorTr(int, int) - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the generalized trace of this tensor along the specified axes.
tensorTr(Shape, double[], int, int, Shape, double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseOps: Computes the generalized trace of this tensor along the specified axes.
tensorTr(Shape, T[], int[][], int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringTensorOps: Computes the generalized trace of a tensor along the specified axes.
tensorTr(Shape, T[], int, int, Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringOps: Computes the generalized trace of this tensor along the specified axes.
tensorTranspose(Shape, Object[], int[][], int[], Object[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooTranspose: Computes the transpose of a sparse COO tensor.
tensorTranspose(Shape, Object[], int[][], int, int, Object[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooTranspose: Computes the transpose of a sparse COO tensor by exchanging axis1 and axis2.
TensorWriter - Class in org.flag4j.io: The TensorWriter class provides static methods for serializing and saving tensors, matrices, and vectors to files.
third() - Method in record class org.flag4j.arrays.Triple: Returns the value of the third record component.
ThreadManager - Class in org.flag4j.concurrency: This class contains the base thread pool for all concurrent ops and methods for managing the pool.
THREE - Static variable in class org.flag4j.algebraic_structures.Complex128: The complex number with zero imaginary part and three real part.
THREE - Static variable in class org.flag4j.algebraic_structures.Complex64: The complex number with zero imaginary part and three real part.
THREE - Static variable in class org.flag4j.algebraic_structures.RealFloat32: The numerical value 3.0.
THREE - Static variable in class org.flag4j.algebraic_structures.RealFloat64: The numerical value 3.0.
THREE - Static variable in class org.flag4j.algebraic_structures.RealInt16: The numerical value 3.
THREE - Static variable in class org.flag4j.algebraic_structures.RealInt32: The numerical value 4.
toArrayList(double[]) - Static method in class org.flag4j.util.ArrayConversions: Converts an array of doubles to an array list.
toArrayList(int[]) - Static method in class org.flag4j.util.ArrayConversions: Converts an array of doubles to an array list.
toArrayList(Complex128[]) - Static method in class org.flag4j.util.ArrayConversions: Converts an array of complex numbers to an array list.
toComplex() - Method in class org.flag4j.arrays.dense.Matrix: Converts this matrix to an equivalent complex matrix.
toComplex() - Method in class org.flag4j.arrays.dense.Tensor: Converts this tensor to an equivalent complex valued tensor.
toComplex() - Method in class org.flag4j.arrays.dense.Vector: Converts this real dense vector to an equivalent complex dense vector.
toComplex() - Method in class org.flag4j.arrays.sparse.CooMatrix: Converts this real sparse COO matrix to an equivalent complex sparse COO matrix.
toComplex() - Method in class org.flag4j.arrays.sparse.CooTensor: Converts this tensor to an equivalent complex tensor.
toComplex() - Method in class org.flag4j.arrays.sparse.CooVector: Converts this vector to an equivalent sparse vector.
toComplex128(double[], Complex128[]) - Static method in class org.flag4j.util.ArrayConversions: Converts array to an array of complex numbers.
toComplex128(int[], Complex128[]) - Static method in class org.flag4j.util.ArrayConversions: Converts array to an array of complex numbers.
toComplex128(Double[], Complex128[]) - Static method in class org.flag4j.util.ArrayConversions: Converts array to an array of complex numbers.
toComplex128(Integer[], Complex128[]) - Static method in class org.flag4j.util.ArrayConversions: Converts array to an array of complex numbers.
toComplex128(String[], Complex128[]) - Static method in class org.flag4j.util.ArrayConversions: Converts array to an array of complex numbers.
toComplex128(Complex64[], Complex128[]) - Static method in class org.flag4j.util.ArrayConversions: Converts an array to an array of complex numbers.
toComplex64(float[], Complex64[]) - Static method in class org.flag4j.util.ArrayConversions: Converts array to an array of complex numbers.
toComplex64(int[], Complex64[]) - Static method in class org.flag4j.util.ArrayConversions: Converts array to an array of complex numbers.
toComplex64(Float[], Complex64[]) - Static method in class org.flag4j.util.ArrayConversions: Converts array to an array of complex numbers.
toComplex64(Integer[], Complex64[]) - Static method in class org.flag4j.util.ArrayConversions: Converts array to an array of complex numbers.
toComplex64(String[], Complex64[]) - Static method in class org.flag4j.util.ArrayConversions: Converts array to an array of complex numbers.
toComplexArrayList(double[]) - Static method in class org.flag4j.util.ArrayConversions: Converts an array of doubles to a complex array list.
toCoo() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Converts this sparse CSR matrix to an equivalent sparse COO matrix.
toCoo() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Converts this matrix to an equivalent sparse COO matrix.
toCoo() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Converts this tensor to an equivalent sparse COO tensor.
toCoo() - Method in class org.flag4j.arrays.dense.CMatrix: Converts this matrix to an equivalent sparse COO matrix.
toCoo() - Method in class org.flag4j.arrays.dense.CTensor: Converts this tensor to an equivalent sparse COO tensor.
toCoo() - Method in class org.flag4j.arrays.dense.CVector: Converts this tensor to an equivalent sparse COO tensor.
toCoo() - Method in class org.flag4j.arrays.dense.FieldMatrix: Converts this dense tensor to an equivalent sparse COO tensor.
toCoo() - Method in class org.flag4j.arrays.dense.Matrix: Converts this dense tensor to an equivalent sparse COO tensor.
toCoo() - Method in class org.flag4j.arrays.dense.RingMatrix: Converts this dense tensor to an equivalent sparse COO tensor.
toCoo() - Method in class org.flag4j.arrays.dense.SemiringMatrix: Converts this dense tensor to an equivalent sparse COO tensor.
toCoo() - Method in class org.flag4j.arrays.dense.Tensor: Converts this tensor to an equivalent sparse COO tensor.
toCoo() - Method in class org.flag4j.arrays.dense.Vector: Converts this dense tensor to an equivalent sparse COO tensor.
toCoo() - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Converts this sparse CSR matrix to an equivalent sparse COO matrix.
toCoo() - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Converts this sparse CSR matrix to an equivalent sparse COO matrix.
toCoo() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Converts this CSR matrix to an equivalent COO matrix.
toCoo() - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Converts this sparse CSR matrix to an equivalent sparse COO matrix.
toCoo() - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Converts this sparse CSR matrix to an equivalent sparse COO matrix.
toCoo() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Converts this permutation matrix to a real sparse COO matrix.
toCoo(double) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Converts this matrix to an equivalent sparse COO matrix.
toCoo(double) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: Converts this tensor to an equivalent sparse COO tensor.
toCoo(double) - Method in class org.flag4j.arrays.dense.CMatrix: Converts this matrix to an equivalent sparse COO matrix.
toCoo(double) - Method in class org.flag4j.arrays.dense.CTensor: Converts this tensor to an equivalent sparse COO tensor.
toCoo(double) - Method in class org.flag4j.arrays.dense.CVector: Converts this tensor to an equivalent sparse COO tensor.
toCoo(double) - Method in class org.flag4j.arrays.dense.FieldMatrix: Converts this matrix to an equivalent sparse COO matrix.
toCoo(double) - Method in class org.flag4j.arrays.dense.RingMatrix: Converts this matrix to an equivalent sparse COO matrix.
toCoo(double) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Converts this matrix to an equivalent sparse COO matrix.
toCoo(double) - Method in class org.flag4j.arrays.dense.Tensor: Converts this tensor to an equivalent sparse COO tensor.
toCoo(Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringConversions: Converts a dense matrix to an equivalent sparse COO matrix.
toCoo(Shape, T[], double) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringConversions: Converts a dense matrix to an equivalent sparse COO matrix.
toCoo(Shape, T[], int[], int[], T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.csr.CsrConversions: Converts a sparse CSR matrix to an equivalent sparse COO matrix.
toCooTensor(Shape, T[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringConversions: Converts a dense tensor to an equivalent sparse COO tensor.
toCooTensor(Shape, T[], double) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringConversions: Converts a dense tensor to an equivalent sparse COO tensor.
toCsr() - Method in class org.flag4j.arrays.backend.field_arrays.AbstractCooFieldMatrix: Converts this sparse COO matrix to an equivalent sparse CSR matrix.
toCsr() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingMatrix: Converts this sparse COO matrix to an equivalent sparse CSR matrix.
toCsr() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Converts this sparse COO matrix to an equivalent sparse CSR matrix.
toCsr() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Converts this matrix to an equivalent sparse CSR matrix.
toCsr() - Method in class org.flag4j.arrays.dense.CMatrix: Converts this matrix to an equivalent sparse CSR matrix.
toCsr() - Method in class org.flag4j.arrays.dense.FieldMatrix: Converts this matrix to an equivalent sparse CSR matrix.
toCsr() - Method in class org.flag4j.arrays.dense.Matrix: Converts this dense matrix to sparse CSR matrix.
toCsr() - Method in class org.flag4j.arrays.dense.RingMatrix: Converts this matrix to an equivalent sparse CSR matrix.
toCsr() - Method in class org.flag4j.arrays.dense.SemiringMatrix: Converts this matrix to an equivalent sparse CSR matrix.
toCsr() - Method in class org.flag4j.arrays.sparse.CooCMatrix: Converts this sparse COO matrix to an equivalent sparse CSR matrix.
toCsr() - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Converts this sparse COO matrix to an equivalent compressed sparse row (CSR) matrix.
toCsr() - Method in class org.flag4j.arrays.sparse.CooMatrix: Converts this COO matrix to an equivalent CSR matrix.
toCsr() - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Converts this sparse COO matrix to an equivalent compressed sparse row (CSR) matrix.
toCsr() - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Converts this sparse COO matrix to an equivalent compressed sparse row (CSR) matrix.
toCsr() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Converts this permutation matrix to a real sparse COO matrix.
toCsr(double) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Converts this matrix to an equivalent sparse CSR matrix.
toCsr(double) - Method in class org.flag4j.arrays.dense.CMatrix: Converts this matrix to an equivalent sparse CSR matrix.
toCsr(double) - Method in class org.flag4j.arrays.dense.FieldMatrix: Converts this matrix to an equivalent sparse CSR matrix.
toCsr(double) - Method in class org.flag4j.arrays.dense.RingMatrix: Converts this matrix to an equivalent sparse CSR matrix.
toCsr(double) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Converts this matrix to an equivalent sparse CSR matrix.
toCsr(Shape, T[], int[], int[], T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooConversions: Converts a COO matrix to an equivalent CSR matrix.
toCsv(String, MatrixMixin<?, ?, ?, ?>) - Static method in class org.flag4j.io.TensorWriter: Writes a matrix to a CSV file.
toCsv(String, MatrixMixin<?, ?, ?, ?>, String) - Static method in class org.flag4j.io.TensorWriter: Writes a matrix to a CSV file.
toDense() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Converts this sparse COO matrix to an equivalent dense matrix.
toDense() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: Converts this COO tensor to an equivalent dense tensor.
toDense() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Converts this sparse COO matrix to an equivalent dense matrix.
toDense() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Converts this sparse CSR matrix to an equivalent dense matrix.
toDense() - Method in class org.flag4j.arrays.sparse.CooMatrix: Converts this sparse tensor to an equivalent dense tensor.
toDense() - Method in class org.flag4j.arrays.sparse.CooTensor: Converts this sparse tensor to an equivalent dense tensor.
toDense() - Method in class org.flag4j.arrays.sparse.CooVector: Converts this sparse tensor to an equivalent dense tensor.
toDense() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Converts this sparse CSR matrix to an equivalent dense matrix.
toDense() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Converts this permutation matrix to a real dense matrix.
toDense() - Method in class org.flag4j.arrays.sparse.SymmTriDiag: Converts this symmetric tri-diagonal matrix to an equivalent dense matrix.
toDense(Shape, T[], int[][], T[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooConversions: Converts a sparse COO tensor to an equivalent dense tensor.
toDense(Shape, T[], int[], int[], T[], T) - Static method in class org.flag4j.linalg.ops.sparse.csr.CsrConversions: Converts a sparse CSR matrix to a dense matrix.
toMatrix() - Method in interface org.flag4j.arrays.backend.VectorMixin: Converts a vector to an equivalent matrix representing the vector as a column vector.
toMatrix() - Method in class org.flag4j.arrays.dense.CTensor: Converts this tensor to an equivalent matrix.
toMatrix() - Method in class org.flag4j.arrays.dense.FieldTensor: Converts this tensor to an equivalent matrix.
toMatrix() - Method in class org.flag4j.arrays.dense.Tensor: Converts this tensor to an equivalent matrix.
toMatrix() - Method in class org.flag4j.arrays.sparse.CooFieldTensor: Converts this tensor to an equivalent matrix.
toMatrix() - Method in class org.flag4j.arrays.sparse.CooRingTensor: Converts this tensor to an equivalent matrix.
toMatrix() - Method in class org.flag4j.arrays.sparse.CooSemiringTensor: Converts this tensor to an equivalent matrix.
toMatrix(boolean) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Converts a vector to an equivalent matrix representing either a row or column vector.
toMatrix(boolean) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringVector: Converts a vector to an equivalent matrix representing either a row or column vector.
toMatrix(boolean) - Method in interface org.flag4j.arrays.backend.VectorMixin: Converts a vector to an equivalent matrix representing either a row or column vector.
toMatrix(boolean) - Method in class org.flag4j.arrays.dense.Vector: Converts a vector to an equivalent matrix representing either a row or column vector.
toMatrix(boolean) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Converts a vector to an equivalent matrix representing either a row or column vector.
toMatrix(boolean) - Method in class org.flag4j.arrays.sparse.CooRingVector: Converts a vector to an equivalent matrix representing either a row or column vector.
toMatrix(boolean) - Method in class org.flag4j.arrays.sparse.CooSemiringVector: Converts a vector to an equivalent matrix representing either a row or column vector.
toMatrix(boolean) - Method in class org.flag4j.arrays.sparse.CooVector: Converts a vector to an equivalent matrix representing either a row or column vector.
toMatrix(Shape) - Method in class org.flag4j.arrays.dense.FieldTensor: Converts this tensor to a matrix with the specified shape.
toMatrix(Shape) - Method in class org.flag4j.arrays.dense.RingTensor: Converts this tensor to a matrix with the specified shape.
toMatrix(Shape) - Method in class org.flag4j.arrays.dense.SemiringTensor: Converts this tensor to a matrix with the specified shape.
toMatrix(Shape) - Method in class org.flag4j.arrays.dense.Tensor: Converts this tensor to an equivalent matrix with the specified shape.
toMatrix(Shape) - Method in class org.flag4j.arrays.sparse.CooCTensor: Converts this tensor to a matrix with specified shape.
toMatrix(Shape) - Method in class org.flag4j.arrays.sparse.CooFieldTensor: Converts this tensor to a matrix with the specified shape.
toMatrix(Shape) - Method in class org.flag4j.arrays.sparse.CooRingTensor: Converts this tensor to a matrix with the specified shape.
toMatrix(Shape) - Method in class org.flag4j.arrays.sparse.CooSemiringTensor: Converts this tensor to a matrix with the specified shape.
toMatrixMarket(String, MatrixMixin<?, ?, ?, ?>, String...) - Static method in class org.flag4j.io.TensorWriter: Writes a matrix to a Matrix Market Exchange Format file.
toPolar() - Method in class org.flag4j.algebraic_structures.Complex128: Converts a complex number to an equivalent polar from.
toPolar() - Method in class org.flag4j.algebraic_structures.Complex64: Converts a complex number to an equivalent polar from.
toReal() - Method in class org.flag4j.arrays.dense.CMatrix: Converts this complex matrix to a real matrix.
toReal() - Method in class org.flag4j.arrays.dense.CTensor: Converts this complex tensor to a real tensor.
toReal() - Method in class org.flag4j.arrays.dense.CVector: Converts this complex vector to a real vector.
toReal() - Method in class org.flag4j.arrays.sparse.CooCMatrix: Converts this matrix to an equivalent real matrix.
toReal() - Method in class org.flag4j.arrays.sparse.CooCTensor: Converts this complex vector to a real vector.
toReal() - Method in class org.flag4j.arrays.sparse.CooCVector: Converts this complex vector to a real vector.
toReal() - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Converts this matrix to an equivalent real matrix.
toReal(Complex128[]) - Static method in class org.flag4j.linalg.ops.common.complex.Complex128Ops: Converts a complex tensor to a real tensor by copying the real component and discarding the imaginary component.
toString() - Method in class org.flag4j.algebraic_structures.Complex128: Converts the complex number to a string representation.
toString() - Method in class org.flag4j.algebraic_structures.Complex64: Converts the complex number to a string representation.
toString() - Method in class org.flag4j.algebraic_structures.RealFloat32: Converts this field element to a string representation.
toString() - Method in class org.flag4j.algebraic_structures.RealFloat64: Returns a string representation of this RealFloat64 instance.
toString() - Method in class org.flag4j.algebraic_structures.RealInt16: Converts this ring element to a string representation.
toString() - Method in class org.flag4j.algebraic_structures.RealInt32: Converts this ring element to a string representation.
toString() - Method in class org.flag4j.arrays.dense.CMatrix: Generates a human-readable string representing this matrix.
toString() - Method in class org.flag4j.arrays.dense.CTensor: Formats this tensor as a human-readable string.
toString() - Method in class org.flag4j.arrays.dense.CVector: Converts this vector to a human-readable string format.
toString() - Method in class org.flag4j.arrays.dense.FieldMatrix: Generates a human-readable string representing this matrix.
toString() - Method in class org.flag4j.arrays.dense.FieldTensor: Formats this tensor as a human-readable string.
toString() - Method in class org.flag4j.arrays.dense.FieldVector: Converts this vector to a human-readable string format.
toString() - Method in class org.flag4j.arrays.dense.Matrix: Generates a human-readable string representing this matrix.
toString() - Method in class org.flag4j.arrays.dense.RingMatrix: Generates a human-readable string representing this matrix.
toString() - Method in class org.flag4j.arrays.dense.RingTensor: Formats this tensor as a human-readable string.
toString() - Method in class org.flag4j.arrays.dense.RingVector: Converts this vector to a human-readable string format.
toString() - Method in class org.flag4j.arrays.dense.SemiringMatrix: Generates a human-readable string representing this matrix.
toString() - Method in class org.flag4j.arrays.dense.SemiringTensor: Formats this tensor as a human-readable string.
toString() - Method in class org.flag4j.arrays.dense.SemiringVector: Converts this vector to a human-readable string format.
toString() - Method in class org.flag4j.arrays.dense.Tensor: Formats this tensor as a human-readable string.
toString() - Method in class org.flag4j.arrays.dense.Vector: Converts this vector to a human-readable string format.
toString() - Method in record class org.flag4j.arrays.IntTuple: Returns a string representation of this record class.
toString() - Method in record class org.flag4j.arrays.Pair: Returns a string representation of this record class.
toString() - Method in class org.flag4j.arrays.Shape: Converts this Shape object to a string format.
toString() - Method in class org.flag4j.arrays.SmartMatrix: Converts this matrix to a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CooCMatrix: Formats this sparse matrix as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CooCTensor: Formats this sparse COO tensor as a human-readable string specifying the full shape, non-zero data, and non-zero indices.
toString() - Method in class org.flag4j.arrays.sparse.CooCVector: Formats this tensor as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Formats this sparse matrix as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CooFieldTensor: Formats this sparse COO tensor as a human-readable string specifying the full shape, non-zero data, and non-zero indices.
toString() - Method in class org.flag4j.arrays.sparse.CooFieldVector: Formats this tensor as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CooMatrix: Formats this sparse matrix as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CooRingTensor: Formats this sparse COO tensor as a human-readable string specifying the full shape, non-zero data, and non-zero indices.
toString() - Method in class org.flag4j.arrays.sparse.CooRingVector: Formats this tensor as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CooSemiringTensor: Formats this sparse COO tensor as a human-readable string specifying the full shape, non-zero data, and non-zero indices.
toString() - Method in class org.flag4j.arrays.sparse.CooSemiringVector: Formats this tensor as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CooTensor: Formats this sparse COO tensor as a human-readable string specifying the full shape, non-zero data, and non-zero indices.
toString() - Method in class org.flag4j.arrays.sparse.CooVector: Formats this tensor as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Formats this sparse matrix as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Formats this sparse matrix as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Formats this sparse matrix as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Formats this sparse matrix as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Formats this sparse matrix as a human-readable string.
toString() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Converts this permutation matrix to a human-readable string.
toString() - Method in record class org.flag4j.arrays.SparseMatrixData: Returns a string representation of this record class.
toString() - Method in record class org.flag4j.arrays.SparseTensorData: Returns a string representation of this record class.
toString() - Method in record class org.flag4j.arrays.SparseVectorData: Returns a string representation of this record class.
toString() - Method in record class org.flag4j.arrays.Triple: Returns a string representation of this record class.
toString() - Method in record class org.flag4j.arrays.Tuple: Returns a string representation of this record class.
toString() - Method in record class org.flag4j.io.MatrixMarketHeader: The String representation of this Matrix Market Exchange Format header.
totalEntries() - Method in class org.flag4j.arrays.backend.AbstractTensor: Gets the total number of data in this tensor.
totalEntries() - Method in class org.flag4j.arrays.Shape: Gets the total number of data for a tensor with this shape.
totalEntriesIntValueExact() - Method in class org.flag4j.arrays.Shape: Gets the total number of data for a tensor with this shape.
toTensor() - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingMatrix: Converts this matrix to an equivalent tensor.
toTensor() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Converts this matrix to an equivalent rank 2 tensor.
toTensor() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Converts this matrix to an equivalent rank 1 tensor.
toTensor() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Converts this CSR matrix to an equivalent sparse COO tensor.
toTensor() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Converts this matrix to an equivalent tensor.
toTensor() - Method in class org.flag4j.arrays.dense.CMatrix: Converts this matrix to an equivalent tensor.
toTensor() - Method in class org.flag4j.arrays.dense.FieldMatrix: Converts this matrix to an equivalent tensor.
toTensor() - Method in class org.flag4j.arrays.dense.Matrix: Converts this matrix to an equivalent Tensor.
toTensor() - Method in class org.flag4j.arrays.dense.RingMatrix: Converts this matrix to an equivalent tensor.
toTensor() - Method in class org.flag4j.arrays.dense.SemiringMatrix: Converts this matrix to an equivalent tensor.
toTensor() - Method in class org.flag4j.arrays.dense.Vector: Converts this vector to an equivalent tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CooCMatrix: Converts this matrix to an equivalent tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CooCVector: Converts this matrix to an equivalent rank 1 tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Converts this matrix to an equivalent tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CooFieldVector: Converts this matrix to an equivalent rank 1 tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CooMatrix: Converts this sparse COO matrix to an equivalent sparse COO tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Converts this matrix to an equivalent rank 2 tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CooRingVector: Converts this matrix to an equivalent rank 1 tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Converts this matrix to an equivalent rank 2 tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CooSemiringVector: Converts this matrix to an equivalent rank 1 tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CooVector: Converts this sparse vector to an equivalent tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Converts this CSR matrix to an equivalent sparse COO tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Converts this CSR matrix to an equivalent sparse COO tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Converts this sparse CSR matrix to an equivalent sparse COO tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Converts this CSR matrix to an equivalent sparse COO tensor.
toTensor() - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Converts this CSR matrix to an equivalent sparse COO tensor.
toTensor(Shape) - Method in class org.flag4j.arrays.backend.ring_arrays.AbstractCooRingMatrix: Converts this matrix to an equivalent tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Converts this matrix to an equivalent tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringVector: Converts this vector to an equivalent tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Converts this CSR matrix to an equivalent COO tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Converts this matrix to an equivalent tensor with the specified newShape.
toTensor(Shape) - Method in class org.flag4j.arrays.dense.CMatrix: Converts this matrix to an equivalent tensor with the specified newShape.
toTensor(Shape) - Method in class org.flag4j.arrays.dense.FieldMatrix: Converts this matrix to an equivalent tensor with the specified newShape.
toTensor(Shape) - Method in class org.flag4j.arrays.dense.RingMatrix: Converts this matrix to an equivalent tensor with the specified newShape.
toTensor(Shape) - Method in class org.flag4j.arrays.dense.SemiringMatrix: Converts this matrix to an equivalent tensor with the specified newShape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Converts this matrix to an equivalent tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CooCVector: Converts this vector to an equivalent tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Converts this matrix to an equivalent tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Converts this vector to an equivalent tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CooRingMatrix: Converts this matrix to an equivalent tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CooRingVector: Converts this vector to an equivalent tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CooSemiringMatrix: Converts this matrix to an equivalent tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CooSemiringVector: Converts this vector to an equivalent tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Converts this CSR matrix to an equivalent COO tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Converts this CSR matrix to an equivalent COO tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CsrRingMatrix: Converts this CSR matrix to an equivalent COO tensor with the specified shape.
toTensor(Shape) - Method in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Converts this CSR matrix to an equivalent COO tensor with the specified shape.
toVector() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Converts this matrix to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Converts this sparse CSR matrix to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Converts this sparse CSR matrix to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Converts this matrix to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.dense.CTensor: Converts this tensor to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.dense.FieldTensor: Converts this tensor to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.dense.Matrix: Converts this matrix to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.dense.RingTensor: Converts this tensor to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.dense.SemiringTensor: Converts this tensor to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.dense.Tensor: Converts this tensor to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.sparse.CooFieldTensor: Converts this tensor to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.sparse.CooMatrix: Converts this matrix to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.sparse.CooRingTensor: Converts this tensor to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.sparse.CooSemiringTensor: Converts this tensor to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Converts this matrix to an equivalent vector.
toVector() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Converts this matrix to an equivalent vector.
tr() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Computes the trace of this matrix.
tr() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: Computes the trace of this matrix.
tr() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: Computes the trace of this matrix.
tr() - Method in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringMatrix: Computes the trace of this matrix.
tr() - Method in class org.flag4j.arrays.dense.Matrix: Computes the trace of this matrix.
tr() - Method in class org.flag4j.arrays.sparse.CooMatrix: Computes the trace of this matrix.
tr() - Method in class org.flag4j.arrays.sparse.CsrMatrix: Computes the trace of this matrix.
tr() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Computes the trace of this permutation matrix.
tr(Class<T>) - Method in class org.flag4j.arrays.SmartMatrix: Computes the trace of this matrix.
trace() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Computes the trace of this matrix.
trace() - Method in class org.flag4j.arrays.sparse.PermutationMatrix: Computes the trace of this permutation matrix.
trace(T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.csr.semiring_ops.SemiringCsrOps: Computes the trace of a sparse CSR matrix.
transformData - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Pointer to the internal data array of UnitaryDecomposition.transformMatrix.
transformMatrix - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Storage for the upper triangular/Hessenburg matrix and the vectors of the HouseholderOld reflectors used in the decomposition.
TransformSemiRing - Class in org.flag4j.linalg.ops.common.semiring_ops: A utility class for computing transformations on Semiring arrays.
transpose(CsrMatrix) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrOps: Transposes a sparse CSR matrix.
transpose(T[], int[], int[], T[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.csr.CsrOps: Computes transpose of complex CSR matrix.
TransposeDispatcher - Class in org.flag4j.linalg.ops: Provides a dispatch method for dynamically choosing the best matrix transpose algorithm.
Triple<T> - Record Class in org.flag4j.arrays: Data record to store a triplet of values (i.e., a 3-tuple).
Triple(T, T, T) - Constructor for record class org.flag4j.arrays.Triple: Creates an instance of a Triple record class.
TRUE - Static variable in class org.flag4j.algebraic_structures.BoolSemiring: The boolean value true.
Tuple<T> - Record Class in org.flag4j.arrays: Data record to store an ordered list of values (i.e., an n-tuple).
Tuple(T...) - Constructor for record class org.flag4j.arrays.Tuple: Creates an instance of a Tuple record class.
TWO - Static variable in class org.flag4j.algebraic_structures.Complex128: The complex number with zero imaginary part and two real part.
TWO - Static variable in class org.flag4j.algebraic_structures.Complex64: The complex number with zero imaginary part and two real part.
TWO - Static variable in class org.flag4j.algebraic_structures.RealFloat32: The numerical value 2.0.
TWO - Static variable in class org.flag4j.algebraic_structures.RealFloat64: The numerical value 2.0.
TWO - Static variable in class org.flag4j.algebraic_structures.RealInt16: The numerical value 2.
TWO - Static variable in class org.flag4j.algebraic_structures.RealInt32: The numerical value 2.

U

U - Variable in class org.flag4j.linalg.decompositions.schur.Schur: For storing the unitary U matrix in the Schur decomposition.
U - Variable in class org.flag4j.linalg.decompositions.svd.SVD: The unitary matrix U corresponding to M=USV^H in the SVD.
unbox(Double[], double[]) - Static method in class org.flag4j.util.ArrayConversions: Converts an array of Double objects to a primitive array (i.e. unboxing).
unbox(Integer[], int[]) - Static method in class org.flag4j.util.ArrayConversions: Converts an array of Integer objects to a primitive array (i.e. unboxing).
unboxFlatten(Double[][]) - Static method in class org.flag4j.util.ArrayUtils: Flattens a two-dimensional array and unboxes.
uniqueSorted(int[]) - Static method in class org.flag4j.util.ArrayUtils: Gets the unique values from an array and sorts them.
UnitaryDecomposition<T,U> - Class in org.flag4j.linalg.decompositions.unitary: This class is the base class for all decompositions which proceed by using unitary transformations (specifically HouseholderOld reflectors) to bring a matrix into an upper triangular matrix (QR decomposition) or an upper Hessenburg matrix (Hessenburg decomposition).
UnitaryDecomposition(int, boolean) - Constructor for class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Creates a real unitary decomposer which will reduce the matrix to an upper quasi-triangular matrix (Either truly upper or upper Hessenburg).
unsafeGetFlatIndex(int...) - Method in class org.flag4j.arrays.Shape: Computes the index of the 1D data array for a dense tensor from nD indices for a tensor with this shape.
unsafePermuteAxes(int...) - Method in class org.flag4j.arrays.Shape: Permutes the axes of this shape.
unwrap(double[], int[]) - Method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Unwraps sparse data values and indices.
unwrap(double[], int[][]) - Method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Unwraps sparse data values and indices.
unwrap(double[], int[], int[]) - Method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Unwraps sparse data values and indices.
unwrap(Object[], int[]) - Method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Unwraps sparse data values and indices.
unwrap(Object[], int[][]) - Method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Unwraps sparse data values and indices.
unwrap(Object[], int[], int[]) - Method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Unwraps sparse data values and indices.
updateData(int) - Method in class org.flag4j.linalg.decompositions.hess.HermHess: Updates the UnitaryDecomposition.transformMatrix matrix using the computed Householder vector from ComplexUnitaryDecomposition.computeHouseholder(int).
updateData(int) - Method in class org.flag4j.linalg.decompositions.hess.SymmHess: Updates the UnitaryDecomposition.transformMatrix matrix using the computed Householder vector from RealUnitaryDecomposition.computeHouseholder(int).
updateData(int) - Method in class org.flag4j.linalg.decompositions.unitary.ComplexUnitaryDecomposition: Updates the UnitaryDecomposition.transformMatrix matrix using the computed Householder vector from ComplexUnitaryDecomposition.computeHouseholder(int).
updateData(int) - Method in class org.flag4j.linalg.decompositions.unitary.RealUnitaryDecomposition: Updates the UnitaryDecomposition.transformMatrix matrix using the computed HouseholderOld vector from RealUnitaryDecomposition.computeHouseholder(int).
updateData(int) - Method in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: Updates the UnitaryDecomposition.transformMatrix matrix using the computed HouseholderOld vector from UnitaryDecomposition.computeHouseholder(int).
Usage: - Search tag in class org.flag4j.arrays.SmartMatrix: Section
Usage Example - Search tag in class org.flag4j.io.TensorWriter: Section
Usage Example: - Search tag in class org.flag4j.algebraic_structures.BoolSemiring: Section
Usage Example: - Search tag in class org.flag4j.algebraic_structures.Complex128: Section
Usage Example: - Search tag in class org.flag4j.algebraic_structures.Complex64: Section
Usage Example: - Search tag in interface org.flag4j.algebraic_structures.Field: Section
Usage Example: - Search tag in interface org.flag4j.algebraic_structures.Ring: Section
Usage Example: - Search tag in interface org.flag4j.algebraic_structures.Semiring: Section
Usage Examples - Search tag in class org.flag4j.util.ArrayConversions: Section
Usage Examples - Search tag in class org.flag4j.util.ArrayUtils: Section
Usage Examples: - Search tag in class org.flag4j.arrays.sparse.CsrFieldMatrix: Section
Usage Examples: - Search tag in class org.flag4j.arrays.sparse.CsrMatrix: Section
Usage Examples: - Search tag in class org.flag4j.arrays.sparse.CsrSemiringMatrix: Section
Usage Examples: - Search tag in org.flag4j.arrays.SmartMatrix.tr(Class<T>): Section
useCentering() - Static method in class org.flag4j.io.PrintOptions: Gets the centering flag.

V

V - Variable in class org.flag4j.linalg.decompositions.svd.SVD: The unitary matrix V corresponding to M=USV^H in the SVD.
validateArrayIndices(int, int...) - Static method in class org.flag4j.util.ValidateParameters: Checks that a set of indices is within [0, upperBound).
validateCsrMatrix(Shape, int, int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Validates that the provided arguments specify a valid CSR matrix.
ValidateParameters - Class in org.flag4j.util: This utility class contains several methods for ensuring parameters satisfy some condition.
validateSlice(Shape, int, int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.SparseUtils: Validates that the specified slice is a valid slice of a matrix with the specified shape.
validateTensorIndex(Shape, int...) - Static method in class org.flag4j.util.ValidateParameters: Checks if the provided nD index is contained in a tensor defined by the given shape.
validateTensorIndices(Shape, int[]...) - Static method in class org.flag4j.util.ValidateParameters: Checks that a set of nD indices are valid indices for a tensor with the specified shape.
valueOf(String) - Static method in enum class org.flag4j.io.MatrixMarketHeader.MMField: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.flag4j.io.MatrixMarketHeader.MMFormat: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.flag4j.io.MatrixMarketHeader.MMObject: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.flag4j.io.MatrixMarketHeader.MMSymmetry: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.flag4j.linalg.decompositions.lu.LU.Pivoting: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames: Returns the enum constant of this class with the specified name.
ValueOfRound(double, int) - Static method in class org.flag4j.util.StringUtils: Gets the string representation of a double rounded to the specified precision.
ValueOfRound(T, int) - Static method in class org.flag4j.util.StringUtils: Gets the string representation of a field element rounded to the specified precision if possible.
values() - Static method in enum class org.flag4j.io.MatrixMarketHeader.MMField: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.flag4j.io.MatrixMarketHeader.MMFormat: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.flag4j.io.MatrixMarketHeader.MMObject: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.flag4j.io.MatrixMarketHeader.MMSymmetry: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.flag4j.linalg.decompositions.lu.LU.Pivoting: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiringMatMultDispatcher.AlgorithmNames: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames: Returns an array containing the constants of this enum class, in the order they are declared.
Vector - Class in org.flag4j.arrays.dense: A dense vector backed by a primitive double array.
Vector(double...) - Constructor for class org.flag4j.arrays.dense.Vector: Creates a vector with specified data.
Vector(int) - Constructor for class org.flag4j.arrays.dense.Vector: Creates a vector of specified size filled with zeros.
Vector(int...) - Constructor for class org.flag4j.arrays.dense.Vector: Creates a vector with specified data.
Vector(int, double) - Constructor for class org.flag4j.arrays.dense.Vector: Creates a vector of specified size filled with a specified value.
Vector(Vector) - Constructor for class org.flag4j.arrays.dense.Vector: Creates a vector from another vector.
Vector(Shape) - Constructor for class org.flag4j.arrays.dense.Vector: Creates a vector of the specified shape filled with zeros.
Vector(Shape, double) - Constructor for class org.flag4j.arrays.dense.Vector: Creates a vector of specified size filled with a specified value.
Vector(Shape, double[]) - Constructor for class org.flag4j.arrays.dense.Vector: Creates a tensor with the specified data and shape.
vectorEquals(double[], double[]) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseEquals: Checks if two real dense vectors are equal.
vectorEquals(double[], double[], int[], int) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real.RealDenseSparseEquals: Checks if a real dense vector is equal to a sparse vector equals.
vectorEquals(double[], Complex128[], int[], int) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseEquals: Checks if a real dense vector is equal to a complex sparse vector equals.
vectorEquals(Complex128[], double[], int[], int) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.real_complex.RealComplexDenseSparseEquals: Checks if a complex dense vector is equal to a real sparse vector.
vectorEquals(AbstractDenseFieldVector<?, ?, T>, AbstractCooFieldVector<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldEquals: Checks if a complex dense vector is equal to a complex sparse vector.
vectorEquals(CooVector, CooCVector) - Static method in class org.flag4j.linalg.ops.sparse.coo.real_complex.RealComplexSparseEquals: Checks if a real sparse vector and complex sparse vector are equal.
vectorMaxAbs(int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Computes the maximum absolute value of a vector with n elements from Balancer.balancedMatrix's 1D data array starting at index start and spaced by stride.
vectorMaxAbs(int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.ComplexBalancer: Computes the maximum absolute value of a vector with n elements from Balancer.balancedMatrix's 1D data array starting at index start and spaced by stride.
vectorMaxAbs(int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.RealBalancer: Computes the maximum absolute value of a vector with n elements from Balancer.balancedMatrix's 1D data array starting at index start and spaced by stride.
VectorMixin<T,U,V,W> - Interface in org.flag4j.arrays.backend: This interface specifies methods which all vectors should implement.
vectorNorm(int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Computes the ℓ² norm of a vector with n elements from Balancer.balancedMatrix's 1D data array starting at index start and spaced by stride.
vectorNorm(int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.ComplexBalancer: Computes the ℓ² norm of a vector with n elements from Balancer.balancedMatrix's 1D data array starting at index start and spaced by stride.
vectorNorm(int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.RealBalancer: Computes the ℓ² norm of a vector with n elements from Balancer.balancedMatrix's 1D data array starting at index start and spaced by stride.
VectorNorms - Class in org.flag4j.linalg: A utility class for computing vector norms, including various types of ℓ^p norms, with support for both dense and sparse vectors.
vectorScale(double, int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.Balancer: Scales a vector with n elements from Balancer.balancedMatrix's 1D data array starting at index start and spaced by stride.
vectorScale(double, int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.ComplexBalancer: Scales a vector with n elements from Balancer.balancedMatrix's 1D data array starting at index start and spaced by stride.
vectorScale(double, int, int, int) - Method in class org.flag4j.linalg.decompositions.balance.RealBalancer: Scales a vector with n elements from Balancer.balancedMatrix's 1D data array starting at index start and spaced by stride.
vectorType() - Method in interface org.flag4j.arrays.backend.MatrixMixin: Checks what type of vector this matrix is. i.e. not a vector, a 1x1 matrix, a row vector, or a column vector.
View - Class in org.flag4j.linalg.transformations: Utility class containing static for generating view matrices.
visit(CMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(CMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(CMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(CMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(CMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(CMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(FieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(FieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(FieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(FieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(FieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(FieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(Matrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(Matrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(Matrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(Matrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(Matrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(Matrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(RingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(RingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(RingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(RingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(RingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(RingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(SemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(SemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(SemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(SemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(SemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(SemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(CooCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(CooCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(CooCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(CooCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(CooCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(CooCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(CooFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(CooFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(CooFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(CooFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(CooFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(CooFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(CooMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(CooMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(CooMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(CooMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(CooMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(CooMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(CooRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(CooRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(CooRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(CooRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(CooRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(CooRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(CooSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(CooSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(CooSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(CooSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(CooSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(CooSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(CsrCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(CsrCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(CsrCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(CsrCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(CsrCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(CsrCMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(CsrFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(CsrFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(CsrFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(CsrFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(CsrFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(CsrFieldMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(CsrMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(CsrMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(CsrMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(CsrMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(CsrMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(CsrMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(CsrRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(CsrRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(CsrRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(CsrRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(CsrRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(CsrRingMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor
visit(CsrSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.AddVisitor
visit(CsrSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.DivVisitor
visit(CsrSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.ElemMultVisitor
visit(CsrSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatMultVisitor
visit(CsrSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.MatrixVisitor
visit(CsrSemiringMatrix) - Method in class org.flag4j.arrays.backend.smart_visitors.SubVisitor

W

workArray - Variable in class org.flag4j.linalg.decompositions.schur.Schur: An array for storing temporary values along the colum of a matrix when applying Householder reflectors.
workArray - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: For temporarily storage when applying HouseholderOld vectors.
wrap(double[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Factory method which wraps data in an instance of CooDataSorter and returns that instance.
wrap(double[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Factory method which wraps data in an instance of CooDataSorter and returns that instance.
wrap(double[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Factory method which wraps data in an instance of CooDataSorter and returns that instance.
wrap(Object[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Factory method which wraps data in an instance of CooDataSorter and returns that instance.
wrap(Object[], int[][]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Factory method which wraps data in an instance of CooDataSorter and returns that instance.
wrap(Object[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Factory method which wraps data in an instance of CooDataSorter and returns that instance.
wrap(CVector, Shape) - Method in class org.flag4j.linalg.solvers.exact.ComplexExactTensorSolver: Wraps solution as a tensor and reshapes to the proper shape.
wrap(Vector, Shape) - Method in class org.flag4j.linalg.solvers.exact.RealExactTensorSolver: Wraps solution as a tensor and reshapes to the proper shape.
wrap(V, Shape) - Method in class org.flag4j.linalg.solvers.exact.ExactTensorSolver: Wraps solution as a tensor and reshapes to the proper shape.
wrapArray(double...) - Static method in class org.flag4j.algebraic_structures.RealFloat64: Wraps a primitive double array as a RealFloat64 array.
wrapArray(float...) - Static method in class org.flag4j.algebraic_structures.RealFloat32: Wraps a primitive float array as a RealFloat32 array.
wrapArray(Double[]) - Static method in class org.flag4j.algebraic_structures.RealFloat64: Wraps a Double array as a RealFloat64 array.
wrapArray(Float...) - Static method in class org.flag4j.algebraic_structures.RealFloat32: Wraps a Float array as a RealFloat32 array.
write(String, AbstractTensor<?, ?, ?>) - Static method in class org.flag4j.io.TensorWriter: Writes a tensor to a file using a ObjectOutputStream.
write(String, MatrixMixin<?, ?, ?, ?>, String...) - Static method in class org.flag4j.io.MatrixMarketWriter: Writes a matrix to a file in Matrix Market Exchange Format file.

X

x - Variable in class org.flag4j.linalg.solvers.exact.triangular.BackSolver: For storing vector results.
X - Variable in class org.flag4j.linalg.solvers.exact.triangular.BackSolver: For storing matrix results.
xCol - Variable in class org.flag4j.linalg.solvers.exact.triangular.BackSolver: For temporary storage of matrix columns to help improve cache performance.
xCol - Variable in class org.flag4j.linalg.solvers.exact.triangular.ForwardSolver: Temporary storage for columns of the solution matrix.
xor(BoolSemiring) - Method in class org.flag4j.algebraic_structures.BoolSemiring: Computes the exclusive OR (XOR) of this BoolSemiring with another.

Z

ZERO - Static variable in class org.flag4j.algebraic_structures.BoolSemiring: The boolean value false.
ZERO - Static variable in class org.flag4j.algebraic_structures.Complex128: The complex number with zero imaginary and real parts.
ZERO - Static variable in class org.flag4j.algebraic_structures.Complex64: The complex number with zero imaginary and real parts.
ZERO - Static variable in class org.flag4j.algebraic_structures.RealFloat32: The numerical value 0.0.
ZERO - Static variable in class org.flag4j.algebraic_structures.RealFloat64: The numerical value 0.0.
ZERO - Static variable in class org.flag4j.algebraic_structures.RealInt16: The numerical value 0.
ZERO - Static variable in class org.flag4j.algebraic_structures.RealInt32: The numerical value 0.
zeroElement - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringMatrix: The zero element for the semiring that this tensor's elements belong to.
zeroElement - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCooSemiringTensor: The zero element for the semiring that this tensor's elements belong to.
zeroElement - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractCsrSemiringMatrix: The zero element for the semiring that this tensor's elements belong to.
zeroElement - Variable in class org.flag4j.arrays.backend.semiring_arrays.AbstractDenseSemiringTensor: The zero element for the semiring that this tensor's elements belong to.
zeroPivotTol - Variable in class org.flag4j.linalg.decompositions.lu.LU: Tolerance for determining if pivot value is to be considered zero in LU decomposition with no pivoting.

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