M-Index

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All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

M

mag() - Method in class org.flag4j.algebraic_structures.fields.Complex128: Computes the magnitude of this field element.
mag() - Method in class org.flag4j.algebraic_structures.fields.Complex64: Computes the magnitude of this field element.
mag() - Method in class org.flag4j.algebraic_structures.fields.RealFloat32: Computes the magnitude of this field element.
mag() - Method in class org.flag4j.algebraic_structures.fields.RealFloat64: Computes the magnitude of this field element.
mag() - Method in class org.flag4j.algebraic_structures.rings.RealInt16: Computes the magnitude of this field element.
mag() - Method in class org.flag4j.algebraic_structures.rings.RealInt32: Computes the magnitude of this field element.
mag() - Method in interface org.flag4j.algebraic_structures.rings.Ring: Computes the magnitude of this ring element.
magSquared() - Method in class org.flag4j.algebraic_structures.fields.Complex128: Squares this magnitude of this complex number.
magSquared() - Method in class org.flag4j.algebraic_structures.fields.Complex64: Squares this magnitude of this complex number.
makeDenseTensor(Shape, double[]) - Method in class org.flag4j.arrays.sparse.CooTensor: Makes a dense tensor with the specified shape and entries which is a similar type to this sparse tensor.
makeDenseTensor(Shape, Field<Complex128>[]) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Constructs a dense field matrix which with the specified shape and entries.
makeDenseTensor(Shape, Field<Complex128>[]) - Method in class org.flag4j.arrays.sparse.CooCTensor: Makes a dense tensor with the specified shape and entries which is a similar type to this sparse tensor.
makeDenseTensor(Shape, Field<Complex64>[]) - Method in class org.flag4j.arrays.sparse.CooCTensor64: Makes a dense tensor with the specified shape and entries which is a similar type to this sparse tensor.
makeDenseTensor(Shape, Field<T>[]) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Constructs a dense field matrix which with the specified shape and entries.
makeDenseTensor(Shape, Field<T>[]) - Method in class org.flag4j.arrays.sparse.CooFieldTensor: Makes a dense tensor with the specified shape and entries which is a similar type to this sparse tensor.
makeDenseTensor(Shape, Field<V>[]) - Method in class org.flag4j.arrays.backend.CooFieldTensorBase: Makes a dense tensor with the specified shape and entries which is a similar type to this sparse tensor.
makeDenseTensor(Shape, Field<Y>[]) - Method in class org.flag4j.arrays.backend.CooFieldMatrixBase: Constructs a dense field matrix which with the specified shape and entries.
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.
makeLikeCooMatrix(Shape, Field<Complex128>[], int[], int[]) - Method in class org.flag4j.arrays.dense.CMatrix: Constructs a sparse COO matrix of similar type to this dense matrix.
makeLikeCooMatrix(Shape, Field<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, Field<Y>[], int[], int[]) - Method in class org.flag4j.arrays.backend.DenseFieldMatrixBase: Constructs a sparse COO matrix of similar type to this dense matrix.
makeLikeCsrMatrix(Shape, Field<Complex128>[], int[], int[]) - Method in class org.flag4j.arrays.dense.CMatrix: Constructs a sparse CSR matrix of similar type to this dense matrix.
makeLikeCsrMatrix(Shape, Field<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, Field<Y>[], int[], int[]) - Method in class org.flag4j.arrays.backend.DenseFieldMatrixBase: Constructs a sparse CSR matrix of similar type to this dense matrix.
makeLikeDenseMatrix(Shape, Field<Complex128>...) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a dense matrix which is of a similar type to this sparse COO vector with the specified shape and containing the specified entries.
makeLikeDenseMatrix(Shape, Field<T>...) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a dense matrix which is of a similar type to this sparse COO vector with the specified shape and containing the specified entries.
makeLikeDenseMatrix(Shape, Field<Y>...) - Method in class org.flag4j.arrays.backend.CooFieldVectorBase: Constructs a dense matrix which is of a similar type to this sparse COO vector with the specified shape and containing the specified entries.
makeLikeDenseMatrix(Shape, Semiring<Y>...) - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringVector: Constructs a dense matrix of a similar type as this vector with the specified shape and entries.
makeLikeDenseTensor(Field<Complex128>...) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a dense vector which is of a similar type to this sparse COO vector containing the specified entries.
makeLikeDenseTensor(Field<T>...) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a dense vector which is of a similar type to this sparse COO vector containing the specified entries.
makeLikeDenseTensor(Field<Y>...) - Method in class org.flag4j.arrays.backend.CooFieldVectorBase: Constructs a dense vector which is of a similar type to this sparse COO vector containing the specified entries.
makeLikeDenseTensor(Shape, Field<Complex128>[]) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Constructs a dense matrix of similar type as this matrix with the given the shape and entries.
makeLikeDenseTensor(Shape, Field<T>[]) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Constructs a dense matrix of similar type as this matrix with the given the shape and entries.
makeLikeDenseTensor(Shape, Field<Y>[]) - Method in class org.flag4j.arrays.backend.CsrFieldMatrixBase: Constructs a dense matrix of similar type as this matrix with the given the shape and entries.
makeLikeDenseTensor(Shape, Semiring<V>[]) - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringTensor: Constructs a dense tensor that is a similar type as this sparse COO tensor.
makeLikeDenseTensor(Shape, Semiring<W>[]) - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringMatrix: Constructs a dense tensor with the specified shape and entries which is a similar type to this sparse tensor.
makeLikeDenseTensor(Shape, Semiring<Y>...) - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringVector: Constructs a dense vector of a similar type as this vector with the specified shape and entries.
makeLikeMatrix(Shape, Field<Complex128>[]) - Method in class org.flag4j.arrays.dense.CVector: Constructs a matrix of similar type to this vector with the specified shape and entries.
makeLikeMatrix(Shape, Field<Complex128>[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a sparse matrix which is of a similar type to this sparse COO vector with the specified shape, non-zero entries, non-zero row indices, and non-zero column indices.
makeLikeMatrix(Shape, Field<T>[]) - Method in class org.flag4j.arrays.dense.FieldVector: Constructs a matrix of similar type to this vector with the specified shape and entries.
makeLikeMatrix(Shape, Field<T>[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a sparse matrix which is of a similar type to this sparse COO vector with the specified shape, non-zero entries, non-zero row indices, and non-zero column indices.
makeLikeMatrix(Shape, Field<W>[]) - Method in class org.flag4j.arrays.backend.DenseFieldVectorBase: Constructs a matrix of similar type to this vector with the specified shape and entries.
makeLikeMatrix(Shape, Field<Y>[], int[], int[]) - Method in class org.flag4j.arrays.backend.CooFieldVectorBase: Constructs a sparse matrix which is of a similar type to this sparse COO vector with the specified shape, non-zero entries, non-zero row indices, and non-zero column indices.
makeLikeMatrix(Shape, Semiring<V>[]) - Method in class org.flag4j.arrays.backend.semiring.AbstractDenseSemiringVector: Constructs a matrix of similar type to this vector with the specified shape and entries.
makeLikeMatrix(Shape, Semiring<Y>[], int[], int[]) - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringVector: Constructs a COO matrix with the specified shape, non-zero entries, 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 entries.
makeLikeTensor(int, List<Field<Complex128>>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a sparse COO vector of the same type as this tensor with the specified size, non-zero entries, and non-zero indices.
makeLikeTensor(int, List<Field<T>>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a sparse COO vector of the same type as this tensor with the specified size, non-zero entries, and non-zero indices.
makeLikeTensor(int, List<Field<Y>>, List<Integer>) - Method in class org.flag4j.arrays.backend.CooFieldVectorBase: Constructs a sparse COO vector of the same type as this tensor with the specified size, non-zero entries, and non-zero indices.
makeLikeTensor(int, Complex128) - Method in class org.flag4j.arrays.dense.CVector: Creates a vector with the specified size filled with the fillValue.
makeLikeTensor(int, Field<Complex128>[]) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a sparse COO vector of the same type as this tensor with the specified size, non-zero entries, and the same non-zero indices as this vector.
makeLikeTensor(int, Field<Complex128>[], int[]) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a sparse COO vector of the same type as this tensor with the specified size, non-zero entries, and non-zero indices.
makeLikeTensor(int, Field<T>[]) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a sparse COO vector of the same type as this tensor with the specified size, non-zero entries, and the same non-zero indices as this vector.
makeLikeTensor(int, Field<T>[], int[]) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a sparse COO vector of the same type as this tensor with the specified size, non-zero entries, and non-zero indices.
makeLikeTensor(int, Field<Y>[]) - Method in class org.flag4j.arrays.backend.CooFieldVectorBase: Constructs a sparse COO vector of the same type as this tensor with the specified size, non-zero entries, and the same non-zero indices as this vector.
makeLikeTensor(int, Field<Y>[], int[]) - Method in class org.flag4j.arrays.backend.CooFieldVectorBase: Constructs a sparse COO vector of the same type as this tensor with the specified size, non-zero entries, and non-zero indices.
makeLikeTensor(int, T) - Method in class org.flag4j.arrays.dense.FieldVector: Creates a vector with the specified size filled with the fillValue.
makeLikeTensor(int, W) - Method in class org.flag4j.arrays.backend.DenseFieldVectorBase: Creates a vector with the specified size filled with the fillValue.
makeLikeTensor(Field<Complex128>...) - Method in class org.flag4j.arrays.dense.CVector: Creates a vector with the specified entries.
makeLikeTensor(Field<T>...) - Method in class org.flag4j.arrays.dense.FieldVector: Creates a vector with the specified entries.
makeLikeTensor(Field<W>...) - Method in class org.flag4j.arrays.backend.DenseFieldVectorBase: Creates a vector with the specified entries.
makeLikeTensor(Semiring<V>[]) - Method in class org.flag4j.arrays.backend.semiring.AbstractDenseSemiringVector: Constructs a dense vector with the specified entries 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 entries.
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 entries.
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 entries.
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 entries 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 entries.
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 entries.
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 entries 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 entries, 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 entries, and non-zero indices.
makeLikeTensor(Shape, List<Field<Complex128>>, List<int[]>) - Method in class org.flag4j.arrays.sparse.CooCTensor: Constructs a sparse tensor of the same type as this tensor with the given the shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, List<Field<Complex128>>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Constructs a COO field matrix with the specified shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, List<Field<Complex64>>, List<int[]>) - Method in class org.flag4j.arrays.sparse.CooCTensor64: Constructs a sparse tensor of the same type as this tensor with the given the shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, List<Field<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 entries, and non-zero indices.
makeLikeTensor(Shape, List<Field<T>>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Constructs a COO field matrix with the specified shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, List<Field<V>>, List<int[]>) - Method in class org.flag4j.arrays.backend.CooFieldTensorBase: Constructs a sparse tensor of the same type as this tensor with the given the shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, List<Field<Y>>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.backend.CooFieldMatrixBase: Constructs a COO field matrix with the specified shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, List<Semiring<V>>, List<int[]>) - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringTensor: Constructs a tensor of the same type as this tensor with the specified shape and non-zero entries.
makeLikeTensor(Shape, List<Semiring<W>>, List<Integer>, List<Integer>) - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringMatrix: Constructs a COO matrix with the specified shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, List<Semiring<Y>>, List<Integer>) - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringVector: Constructs a COO vector with the specified shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, Complex128) - Method in class org.flag4j.arrays.dense.CMatrix: Constructs a matrix of the same type as this matrix with the given the shape filled with the specified fill value.
makeLikeTensor(Shape, Field<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 entries.
makeLikeTensor(Shape, Field<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 entries.
makeLikeTensor(Shape, Field<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 entries.
makeLikeTensor(Shape, Field<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 entries.
makeLikeTensor(Shape, Field<Complex128>[]) - Method in class org.flag4j.arrays.sparse.CooCTensor: 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 entries.
makeLikeTensor(Shape, Field<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 entries.
makeLikeTensor(Shape, Field<Complex128>[]) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Constructs a CSR matrix of the same type as this matrix with the given the shape, entries and the same non-zero indices.
makeLikeTensor(Shape, Field<Complex128>[], int[][]) - Method in class org.flag4j.arrays.sparse.CooCTensor: Constructs a sparse tensor of the same type as this tensor with the given the shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, Field<Complex128>[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Constructs a COO field matrix with the specified shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, Field<Complex128>[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Constructs a CSR matrix of the same type as this matrix with the given the shape, entries and non-zero indices.
makeLikeTensor(Shape, Field<Complex64>[]) - Method in class org.flag4j.arrays.dense.CTensor64: Constructs a tensor of the same type as this tensor with the given the shape and entries.
makeLikeTensor(Shape, Field<Complex64>[]) - Method in class org.flag4j.arrays.sparse.CooCTensor64: 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 entries.
makeLikeTensor(Shape, Field<Complex64>[], int[][]) - Method in class org.flag4j.arrays.sparse.CooCTensor64: Constructs a sparse tensor of the same type as this tensor with the given the shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, Field<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 entries.
makeLikeTensor(Shape, Field<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 entries.
makeLikeTensor(Shape, Field<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 entries.
makeLikeTensor(Shape, Field<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 entries.
makeLikeTensor(Shape, Field<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 entries.
makeLikeTensor(Shape, Field<T>[]) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a tensor of the same type as this tensor with the given the shape, non-zero entries and the same non-zero indices as this vector.
makeLikeTensor(Shape, Field<T>[]) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Constructs a CSR matrix of the same type as this matrix with the given the shape, entries and the same non-zero indices.
makeLikeTensor(Shape, Field<T>[], 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 entries, and non-zero indices.
makeLikeTensor(Shape, Field<T>[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Constructs a COO field matrix with the specified shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, Field<T>[], int[], int[]) - Method in class org.flag4j.arrays.sparse.CsrFieldMatrix: Constructs a CSR matrix of the same type as this matrix with the given the shape, entries and non-zero indices.
makeLikeTensor(Shape, Field<V>[]) - Method in class org.flag4j.arrays.backend.CooFieldTensorBase: 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 entries.
makeLikeTensor(Shape, Field<V>[], int[][]) - Method in class org.flag4j.arrays.backend.CooFieldTensorBase: Constructs a sparse tensor of the same type as this tensor with the given the shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, Field<Y>[]) - Method in class org.flag4j.arrays.backend.CooFieldMatrixBase: Constructs a tensor of the same type as this tensor with the given the shape and entries.
makeLikeTensor(Shape, Field<Y>[]) - Method in class org.flag4j.arrays.backend.CsrFieldMatrixBase: Constructs a CSR matrix of the same type as this matrix with the given the shape, entries and the same non-zero indices.
makeLikeTensor(Shape, Field<Y>[]) - Method in class org.flag4j.arrays.backend.DenseFieldMatrixBase: Constructs a tensor of the same type as this tensor with the given the shape and entries.
makeLikeTensor(Shape, Field<Y>[], int[], int[]) - Method in class org.flag4j.arrays.backend.CooFieldMatrixBase: Constructs a COO field matrix with the specified shape, non-zero entries, and non-zero indices.
makeLikeTensor(Shape, Field<Y>[], int[], int[]) - Method in class org.flag4j.arrays.backend.CsrFieldMatrixBase: Constructs a CSR matrix of the same type as this matrix with the given the shape, entries and non-zero indices.
makeLikeTensor(Shape, Semiring<Y>[], int[]) - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringVector: Constructs a sparse COO vector of the same type as this vector with the specified non-zero entries and indices.
makeLikeTensor(Shape, T) - Method in class org.flag4j.arrays.dense.FieldMatrix: Constructs a matrix of the same type as this matrix with the given the shape filled with the specified fill value.
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 entries.
makeLikeTensor(Shape, U) - Method in interface org.flag4j.arrays.backend.TensorMixin: Constructs a tensor of the same type as this tensor with the specified shape and entries.
makeLikeTensor(Shape, V) - Method in interface org.flag4j.arrays.backend.semiring.TensorOverSemiRing: Constructs a tensor of the same type as this tensor with the given the shape and entries.
makeLikeTensor(Shape, V[], int[][]) - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringTensor: Constructs a tensor of the same type as this tensor with the specified shape and non-zero entries.
makeLikeTensor(Shape, W[], int[], int[]) - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringMatrix: Constructs a sparse COO tensor of the same type as this tensor with the specified non-zero entries and indices.
makeLikeTensor(Shape, Y) - Method in class org.flag4j.arrays.backend.DenseFieldMatrixBase: Constructs a matrix of the same type as this matrix with the given the shape filled with the specified fill value.
makeLikeVector(int, List<Field<Complex128>>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Constructs a vector of similar type to this matrix.
makeLikeVector(int, List<Field<T>>, List<Integer>) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Constructs a vector of similar type to this matrix.
makeLikeVector(int, List<Field<Y>>, List<Integer>) - Method in class org.flag4j.arrays.backend.CooFieldMatrixBase: Constructs a vector of similar type to this matrix.
makeLikeVector(int, Field<Complex128>[], int[]) - Method in class org.flag4j.arrays.sparse.CooCMatrix: Constructs a vector of similar type to this matrix.
makeLikeVector(int, Field<T>[], int[]) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Constructs a vector of similar type to this matrix.
makeLikeVector(int, Field<Y>[], int[]) - Method in class org.flag4j.arrays.backend.CooFieldMatrixBase: Constructs a vector of similar type to this matrix.
makeLikeVector(Field<Complex128>...) - Method in class org.flag4j.arrays.dense.CMatrix: Constructs a vector of similar type to this matrix with the given entries.
makeLikeVector(Field<T>...) - Method in class org.flag4j.arrays.dense.FieldMatrix: Constructs a vector of similar type to this matrix with the given entries.
makeLikeVector(Field<Y>...) - Method in class org.flag4j.arrays.backend.DenseFieldMatrixBase: Constructs a vector of similar type to this matrix with the given entries.
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, Field<Complex128>, Field<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, Field<Complex128>, Field<Complex128>, Field<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.
makeSparseVector(int, List<Field<Complex128>>, List<Integer>) - Method in class org.flag4j.arrays.dense.CVector: Constructs a sparse vector of similar type to this dense vector.
makeSparseVector(int, List<Field<T>>, List<Integer>) - Method in class org.flag4j.arrays.dense.FieldVector: Constructs a sparse vector of similar type to this dense vector.
makeSparseVector(int, List<Field<W>>, List<Integer>) - Method in class org.flag4j.arrays.backend.DenseFieldVectorBase: Constructs a sparse vector of similar type to this dense vector.
makeStridesIfNull() - Method in class org.flag4j.arrays.Shape: If strides are null, create them.
makeSystem(CMatrix, int, CMatrix, CVector) - Static method in class org.flag4j.linalg.Eigen: Constructs the matrix (T - λ*I)[0:j][0:j] for use in computing the eigenvalue of the upper triangular matrix T associated with the j^th eigenvalue λ.
makeSystem(Matrix, int, Matrix, Vector) - Static method in class org.flag4j.linalg.Eigen: Constructs the matrix (T - λ*I)[0:j][0:j] for use in computing the eigenvalue of the upper triangular matrix T associated with the j^th eigenvalue λ.
makeZeroVector(int) - Method in class org.flag4j.arrays.backend.CooFieldVectorBase: Constructs a sparse COO vector of the specified size filled with zeros.
makeZeroVector(int) - Method in class org.flag4j.arrays.sparse.CooCVector: Constructs a sparse COO vector of the specified size filled with zeros.
makeZeroVector(int) - Method in class org.flag4j.arrays.sparse.CooFieldVector: Constructs a sparse COO vector of the specified size filled with zeros.
map(Semiring<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(Semiring<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.
MAT_MULT_DIM_MISMATCH_ERR - Static variable in class org.flag4j.util.ErrorMessages: Error message for matrices which do not have valid dimensions for matrix multiplication.
matches(String, String) - Method in class org.flag4j.io.parsing.ComplexNumberToken: Checks if given tokens kind and details match k and d respectively.
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.
Matrix - Class in org.flag4j.arrays.dense: A real dense matrix backed by a primitive double array.
Matrix(double[][]) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix whose entries 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 entries 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 entries.
Matrix(Double[][]) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix whose entries are specified by a double array.
Matrix(Integer[][]) - Constructor for class org.flag4j.arrays.dense.Matrix: Creates a real dense matrix whose entries 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 entries and shape.
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.
matrixBinarySearch(CooFieldMatrixBase<?, ?, ?, ?, ?>, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldElementSearch: 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(DenseFieldMatrixBase<?, ?, ?, ?, T>, CooFieldMatrixBase<?, ?, ?, ?, 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, DenseFieldMatrixBase<?, ?, ?, ?, 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.
matrixFindRowStartEnd(CooFieldMatrixBase<?, ?, ?, ?, ?>, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldElementSearch: Finds the indices of the first and last non-zero element in the specified row of a sparse matrix.
matrixGet(CooFieldMatrixBase<?, ?, ?, ?, V>, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldMatrixGetSet: Gets the specified element from a sparse matrix.
matrixGet(CooMatrix, int, int) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixGetSet: Gets the specified element from a sparse matrix.
matrixInfNorm(double[], Shape) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the infinity/maximum norm of a matrix.
matrixInfNorm(Field<Complex128>[], Shape) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the infinity/maximum norm of a matrix.
matrixMaxNorm(double[]) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the infinity/maximum norm of a matrix.
matrixMaxNorm(Field<Complex128>[]) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the infinity/maximum norm of a matrix.
MatrixMixin<T,U,V,W> - Interface in org.flag4j.arrays.backend: This interface specifies methods which all matrices should implement.
MatrixMixinOld<T,U,V,W,X,Y> - Interface in org.flag4j.arrays.backend: This interface defines operations that all matrices should implement.
MatrixMultiplyDispatcher - Class in org.flag4j.linalg.ops: Dispatches matrix multiplication to the appropriate algorithm based on the size of the matrices to be multiplied.
MatrixMultiplyDispatcher() - Constructor for class org.flag4j.linalg.ops.MatrixMultiplyDispatcher
MatrixMultiplyDispatcher.AlgorithmName - Enum Class in org.flag4j.linalg.ops: Simple enum class containing all possible choices of matrix multiply algorithms.
matrixNormL2(Field<Complex128>[], Shape) - Static method in class org.flag4j.linalg.MatrixNorms: Compute the L₂ norm of a matrix.
matrixNormL2(CooFieldMatrixBase<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldNorms: Computes the L₂ norm of a matrix.
matrixNormL2(CooMatrix) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseNorms: Computes the L₂ norm of a matrix.
matrixNormLp(Field<Complex128>[], Shape, double) - Static method in class org.flag4j.linalg.MatrixNorms: Compute the L_p norm of a matrix.
matrixNormLp(CooFieldMatrixBase<?, ?, ?, ?, T>, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldNorms: Computes the L_p 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(double[], Shape, double, double) - Static method in class org.flag4j.linalg.MatrixNorms: Compute the L_{p, q} norm of a matrix.
matrixNormLpq(Field<Complex128>[], Shape, double, double) - Static method in class org.flag4j.linalg.MatrixNorms: Compute the L_{p, q} norm of a matrix.
matrixNormLpq(CooFieldMatrixBase<?, ?, ?, ?, T>, double, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldNorms: 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.
matrixNormLpq(CsrMatrix, double, double) - Static method in class org.flag4j.linalg.MatrixNorms: Compute the L_p,q norm of a sparse CSR matrix.
MatrixNorms - Class in org.flag4j.linalg: Utility class containing static methods for computing norms of matrices.
MatrixNorms() - Constructor for class org.flag4j.linalg.MatrixNorms
matrixRank() - Method in class org.flag4j.arrays.backend.DenseFieldMatrixBase: Computes the rank of this matrix (i.e.
matrixRank() - Method in interface org.flag4j.arrays.backend.DenseMatrixMixinOld: Computes the rank of this matrix (i.e.
matrixRank() - Method in class org.flag4j.arrays.dense.CMatrix: Computes the rank of this matrix (i.e.
matrixRank() - Method in class org.flag4j.arrays.dense.Matrix: Computes the rank of this matrix (i.e.
matrixSet(CooFieldMatrixBase<?, ?, ?, ?, V>, int, int, V) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldMatrixGetSet: Sets the specified element from a sparse matrix.
matrixSet(CooMatrix, int, int, double) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixGetSet: Sets the specified element from a sparse matrix.
matrixSolver - Variable in class org.flag4j.linalg.solvers.exact.ExactTensorSolver: Solver to solve a linear matrix equation C*x=d for X where C is a matrix and x and d are vectors.
MatrixVectorOpsMixin<T,U,V> - Interface in org.flag4j.arrays.backend: This interface specifies operations between a matrix and a vector that a matrix should implement.
max() - Method in interface org.flag4j.arrays.backend.field.FieldTensorMixin: Finds the maximum value in this tensor.
max() - Method in interface org.flag4j.arrays.backend.ring.RingTensorMixin: Finds the maximum value in this tensor.
max() - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringMatrix: Finds the maximum value in this tensor.
max() - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringTensor: Finds the maximum (non-zero) value in this tensor.
max() - Method in class org.flag4j.arrays.backend.semiring.AbstractDenseSemiringTensor: Finds the maximum value in this tensor.
max() - Method in interface org.flag4j.arrays.backend.semiring.SemiringTensorMixin: Finds the maximum value in this tensor.
max(double...) - Static method in class org.flag4j.linalg.ops.common.real.AggregateReal: Computes the maximum value in a tensor.
max(Complex128...) - Static method in class org.flag4j.algebraic_structures.fields.Complex128: Computes the maximum magnitude from an array of complex numbers.
max(Complex64...) - Static method in class org.flag4j.algebraic_structures.fields.Complex64: Computes the maximum magnitude from an array of complex numbers.
max(Semiring<T>...) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.CompareSemiring: Computes the maximum value in the specified array.
MAX_REAL - Static variable in class org.flag4j.algebraic_structures.fields.Complex128: The maximum real double value 1.7976931348623157E308.
MAX_REAL - Static variable in class org.flag4j.algebraic_structures.fields.Complex64: The maximum real float value 1.7976931348623157E308.
maxAbs() - Method in interface org.flag4j.arrays.backend.field.FieldTensorMixin: Finds the maximum absolute value in this tensor.
maxAbs() - Method in class org.flag4j.arrays.backend.ring.AbstractDenseRingTensor: Finds the maximum absolute value in this tensor.
maxAbs() - Method in interface org.flag4j.arrays.backend.ring.RingTensorMixin: Finds the maximum absolute value in this tensor.
maxAbs() - Method in interface org.flag4j.arrays.backend.ring.TensorOverRing: Finds the maximum absolute value in this tensor.
maxAbs(double...) - Static method in class org.flag4j.linalg.ops.common.real.AggregateReal: Computes the maximum absolute value in a tensor.
maxAbs(Ring<T>...) - Static method in class org.flag4j.linalg.ops.common.ring_ops.CompareRing: Computes the maximum absolute value in the specified array.
maxColIndex(int) - Method in class org.flag4j.linalg.decompositions.lu.ComplexLU: Computes the max absolute value in a column so that the row is >= j.
maxColIndex(int) - Method in class org.flag4j.linalg.decompositions.lu.FieldLU: Computes the max absolute value in a column so that the row is >= j.
maxColIndex(int) - Method in class org.flag4j.linalg.decompositions.lu.RealLU: Computes the max absolute value in a column so that the row is >= j.
maxColumns - Static variable in class org.flag4j.io.PrintOptions: Maximum number of columns to print from a matrix/vector.
maxIndex(int) - Method in class org.flag4j.linalg.decompositions.lu.ComplexLU: Computes maximum absolute value in sub portion of LU matrix below and right of startIndex, startIndex.
maxIndex(int) - Method in class org.flag4j.linalg.decompositions.lu.FieldLU: Computes maximum absolute value in sub portion of LU matrix below and right of startIndex, startIndex.
maxIndex(int) - Method in class org.flag4j.linalg.decompositions.lu.RealLU: Computes maximum absolute value in sub portion of LU matrix below and right of startIndex, startIndex.
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(CMatrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the max norm of a 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(CsrMatrix) - Static method in class org.flag4j.linalg.MatrixNorms: Computes the max norm of a matrix.
maxRe(Complex128...) - Static method in class org.flag4j.algebraic_structures.fields.Complex128: Computes the minimum real component from an array of complex numbers.
maxRe(Complex64...) - Static method in class org.flag4j.algebraic_structures.fields.Complex64: Computes the minimum real component from an array of complex numbers.
maxRows - Static variable in class org.flag4j.io.PrintOptions: Maximum number of rows to print from a matrix.
maxStringLength(double[]) - Static method in class org.flag4j.io.PrettyPrint: Computes the maximum length of the string representation of a double in an array of doubles.
maxStringLength(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.
maxStringLength(Field<Complex128>[]) - Static method in class org.flag4j.io.PrettyPrint: Computes the maximum length of the string representation of a double in an array of doubles.
maxStringLength(Field<Complex128>[], 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.
min() - Method in interface org.flag4j.arrays.backend.field.FieldTensorMixin: Finds the minimum value in this tensor.
min() - Method in interface org.flag4j.arrays.backend.ring.RingTensorMixin: Finds the minimum value in this tensor.
min() - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringMatrix: Finds the minimum value in this tensor.
min() - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringTensor: Finds the minimum (non-zero) value in this tensor.
min() - Method in class org.flag4j.arrays.backend.semiring.AbstractDenseSemiringTensor: Finds the minimum value in this tensor.
min() - Method in interface org.flag4j.arrays.backend.semiring.SemiringTensorMixin: Finds the minimum value in this tensor.
min(double...) - Static method in class org.flag4j.linalg.ops.common.real.AggregateReal: Computes the minimum value in a tensor.
min(Complex128...) - Static method in class org.flag4j.algebraic_structures.fields.Complex128: Computes the minimum magnitude from an array of complex numbers.
min(Complex64...) - Static method in class org.flag4j.algebraic_structures.fields.Complex64: Computes the minimum magnitude from an array of complex numbers.
min(Semiring<T>...) - Static method in class org.flag4j.linalg.ops.common.semiring_ops.CompareSemiring: Computes the minimum value in the specified array.
MIN_REAL - Static variable in class org.flag4j.algebraic_structures.fields.Complex128: The minimum real double value 4.9E-324
MIN_REAL - Static variable in class org.flag4j.algebraic_structures.fields.Complex64: The minimum real float value 4.9E-324
MIN_REAL_NORMAL - Static variable in class org.flag4j.algebraic_structures.fields.Complex128: The smallest possible real normal double 2.2250738585072014E-308.
MIN_REAL_NORMAL - Static variable in class org.flag4j.algebraic_structures.fields.Complex64: The smallest possible real normal float 2.2250738585072014E-308.
minAbs() - Method in interface org.flag4j.arrays.backend.field.FieldTensorMixin: Finds the minimum value, in absolute value, in this tensor.
minAbs() - Method in class org.flag4j.arrays.backend.ring.AbstractDenseRingTensor: Finds the minimum value, in absolute value, in this tensor.
minAbs() - Method in interface org.flag4j.arrays.backend.ring.RingTensorMixin: Finds the minimum value, in absolute value, in this tensor.
minAbs() - Method in interface org.flag4j.arrays.backend.ring.TensorOverRing: Finds the minimum value, in absolute value, in this tensor.
minAbs(double...) - Static method in class org.flag4j.linalg.ops.common.real.AggregateReal: Computes the minimum absolute value in a tensor.
minAbs(Ring<T>...) - Static method in class org.flag4j.linalg.ops.common.ring_ops.CompareRing: Computes the minimum absolute value in the specified array.
minAxisSize - Variable in class org.flag4j.linalg.decompositions.unitary.UnitaryDecomposition: The minimum of rows and columns in the matrix to be decomposed.
minRe(Complex128...) - Static method in class org.flag4j.algebraic_structures.fields.Complex128: Computes the minimum real component from an array of complex numbers.
minRe(Complex64...) - Static method in class org.flag4j.algebraic_structures.fields.Complex64: Computes the minimum real component from an array of complex numbers.
moveAndShiftLeft(CsrFieldMatrixBase<?, ?, ?, ?, T>, int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.csr.field_ops.CsrFieldMatrixManipulations: Moves a non-zero value in a row of a CSR matrix to a new column to the right of its current column.
moveAndShiftLeft(CsrMatrix, int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrManipulations: Moves a non-zero value in a row of a CSR matrix to a new column to the right of its current column.
moveAndShiftRight(CsrFieldMatrixBase<?, ?, ?, ?, T>, int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.csr.field_ops.CsrFieldMatrixManipulations: Moves a non-zero value in a row of a CSR matrix to a new column to the left of its current column.
moveAndShiftRight(CsrMatrix, int, int, int) - Static method in class org.flag4j.linalg.ops.sparse.csr.real.RealCsrManipulations: Moves a non-zero value in a row of a CSR matrix to a new column to the left of its current column.
mult(double) - Method in class org.flag4j.algebraic_structures.fields.Complex128: Multiplies an element of this field with a real number.
mult(double) - Method in class org.flag4j.algebraic_structures.fields.Complex64: Multiplies an element of this field and a real number (associative and commutative).
mult(double) - Method in interface org.flag4j.algebraic_structures.fields.Field: Multiplies an element of this field with a real number (associative and commutative).
mult(double) - Method in class org.flag4j.algebraic_structures.fields.RealFloat32: Multiplies an element of this field with a real number (associative and commutative).
mult(double) - Method in class org.flag4j.algebraic_structures.fields.RealFloat64: Multiplies an element of this field with a real number (associative and commutative).
mult(double) - Method in interface org.flag4j.arrays.backend.field.FieldTensorMixin: Multiplies a primitive scalar value to each entry of this tensor.
mult(double) - Method in interface org.flag4j.arrays.backend.field.TensorOverField: Multiplies a primitive scalar value to each entry of this tensor.
mult(double) - Method in class org.flag4j.arrays.backend.FieldTensorBase: Multiplies a real value to each entry of this tensor.
mult(double) - Method in class org.flag4j.arrays.backend.PrimitiveDoubleTensorBase: Computes the scalar multiplication between this tensor and the specified scalar factor.
mult(double) - Method in class org.flag4j.arrays.backend.TensorOverField: Multiplies a real value to each entry of this tensor.
mult(double) - Method in interface org.flag4j.arrays.backend.TensorPrimitiveOpsMixin: Computes the scalar multiplication between this tensor and the specified scalar factor.
mult(float) - Method in class org.flag4j.algebraic_structures.fields.Complex64: Multiplies an element of this field with a real number.
mult(Double) - Method in class org.flag4j.arrays.backend.PrimitiveDoubleTensorBase: Multiplies a scalar value to each entry of this tensor.
mult(Complex128) - Method in class org.flag4j.algebraic_structures.fields.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: Computes the scalar multiplication of this tensor and a complex-valued scalar.
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.fields.Complex64: Multiplies two elements of this field (associative and commutative).
mult(Field<V>[], double, Field<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(Field<V>[], V, Field<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(RealFloat32) - Method in class org.flag4j.algebraic_structures.fields.RealFloat32: Multiplies two elements of this field (associative and commutative).
mult(RealFloat64) - Method in class org.flag4j.algebraic_structures.fields.RealFloat64: Multiplies two elements of this field (associative and commutative).
mult(RealInt16) - Method in class org.flag4j.algebraic_structures.rings.RealInt16: Multiplies two elements of this field (associative and commutative).
mult(RealInt32) - Method in class org.flag4j.algebraic_structures.rings.RealInt32: Multiplies two elements of this field (associative and commutative).
mult(BooleanRing) - Method in class org.flag4j.algebraic_structures.semirings.BooleanRing: Multiplies two elements of this semi-ring (associative).
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(Matrix) - Method in class org.flag4j.arrays.dense.CMatrix: Multiplies this complex dense matrix with a real dense matrix.
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 product of this matrix and a real dense vector.
mult(Vector) - Method in class org.flag4j.arrays.dense.Matrix: Computes matrix-vector multiplication.
mult(CooCMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix multiplication between this matrix and a complex sparse COO matrix.
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 product of this matrix and a complex sparse 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 matrix-vector multiplication.
mult(CooCVector) - Method in class org.flag4j.arrays.sparse.CsrCMatrix: Computes matrix-vector multiplication.
mult(CooFieldVector<T>) - Method in class org.flag4j.arrays.sparse.CooFieldMatrix: Computes matrix-vector multiplication.
mult(CooMatrix) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix multiplication between this matrix and a real sparse COO matrix.
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(CooVector) - Method in class org.flag4j.arrays.dense.CMatrix: Computes the matrix-vector product of this matrix and a real sparse 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 this matrix and a complex sparse CSR matrix.
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 this matrix and a real sparse CSR matrix.
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(T) - Method in interface org.flag4j.algebraic_structures.semirings.Semiring: Multiplies two elements of this semi-ring (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.AbstractCooSemiringMatrix: Computes the matrix multiplication between two matrices.
mult(T) - Method in class org.flag4j.arrays.backend.semiring.AbstractDenseSemiringMatrix: Computes the matrix multiplication between two matrices.
mult(T) - Method in class org.flag4j.arrays.backend.semiring.CsrSemiRingMatrixBase: Computes the matrix multiplication between two matrices.
mult(T) - Method in class org.flag4j.arrays.backend.CooFieldMatrixBase: Computes the matrix multiplication between two matrices.
mult(T) - Method in class org.flag4j.arrays.backend.CsrFieldMatrixBase: Computes the matrix multiplication between two matrices.
mult(T) - Method in class org.flag4j.arrays.backend.DenseFieldMatrixBase: Computes the matrix multiplication between two matrices.
mult(T) - Method in interface org.flag4j.arrays.backend.MatrixMixinOld: Computes the matrix multiplication between two matrices.
mult(U) - Method in interface org.flag4j.arrays.backend.MatrixVectorOpsMixin: Computes matrix-vector multiplication.
mult(U) - Method in interface org.flag4j.arrays.backend.TensorScalarOpsMixin: Computes the scalar multiplication between this tensor and the specified scalar factor.
mult(V) - Method in interface org.flag4j.arrays.backend.field.FieldTensorMixin: Multiplies a scalar value to each entry of this tensor.
mult(V) - Method in interface org.flag4j.arrays.backend.ring.RingTensorMixin: Multiplies a scalar value to each entry of this tensor.
mult(V) - Method in interface org.flag4j.arrays.backend.semiring.SemiringTensorMixin: Multiplies a scalar value to each entry of this tensor.
mult(V) - Method in class org.flag4j.arrays.backend.CsrFieldMatrixBase: Computes matrix-vector multiplication.
mult(V) - Method in class org.flag4j.arrays.backend.FieldTensorBase: Multiplies a scalar field value to each entry of this tensor.
mult(W) - Method in interface org.flag4j.arrays.backend.semiring.TensorOverSemiRing: Multiplies a scalar value to each entry of this tensor.
mult(W) - Method in class org.flag4j.arrays.backend.DenseFieldMatrixBase: Computes matrix-vector multiplication.
mult(W) - Method in class org.flag4j.arrays.backend.TensorOverSemiRing: Multiplies a scalar value to each entry of this tensor.
MULT_T - Enum constant in enum class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatMultDispatcher.AlgorithmNames
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.MatrixMultiplyDispatcher.AlgorithmName
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.field_ops.DenseFieldMatMultDispatcher.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.MatrixMultiplyDispatcher.AlgorithmName
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.field_ops.DenseFieldMatMultDispatcher.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.MatrixMultiplyDispatcher.AlgorithmName
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.field_ops.DenseFieldMatMultDispatcher.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.MatrixMultiplyDispatcher.AlgorithmName
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 sparse CSR matrices and stores the result in a CSR matrix.
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 sparse CSR matrices and stores the result in a CSR matrix.
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.
multEq(double) - Method in interface org.flag4j.arrays.backend.field.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.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.PrimitiveDoubleTensorBase: 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.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.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.SemiringTensorMixin: Multiplies a scalar value to each entry of this tensor and stores the result in this tensor.
multEq(V) - Method in class org.flag4j.arrays.backend.FieldTensorBase: 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.TensorOverSemiRing: Multiplies a scalar value to each entry of this tensor and stores the result in this tensor.
multEq(W) - Method in class org.flag4j.arrays.backend.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.fields.Complex128: Computes the multiplicative inverse of this complex number.
multInv() - Method in class org.flag4j.algebraic_structures.fields.Complex64: Computes the multiplicative inverse of this complex number.
multInv() - Method in interface org.flag4j.algebraic_structures.fields.Field: Computes the multiplicative inverse for an element of this field.
multInv() - Method in class org.flag4j.algebraic_structures.fields.RealFloat32: Computes the multiplicative inverse for an element of this field.
multInv() - Method in class org.flag4j.algebraic_structures.fields.RealFloat64: Computes the multiplicative inverse for an element of this field.
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.RealDenseMatrixMultTranspose: Multiplies a matrix to the transpose of a second matrix.
multTranspose(double[], Shape, Field<T>[], int[], int[], Shape) - 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, Field<T>[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix.
multTranspose(Field<T>[], Shape, double[], int[], int[], Shape) - 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(Field<T>[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseMatMultTranspose: Multiplies a matrix to the transpose of a second matrix.
multTranspose(Field<T>[], Shape, Field<T>[], int[], int[], Shape) - Static method in class org.flag4j.linalg.ops.dense_sparse.coo.field_ops.DenseCooFieldMatMultTranspose: Multiplies a complex dense matrix to the transpose of a complex sparse matrix.
multTranspose(Field<T>[], Shape, Field<T>[], Shape) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatrixMultTranspose: Multiplies a matrix to the transpose of a second matrix.
multTranspose(Semiring<T>[], Shape, Semiring<T>[], Shape, Semiring<T>[]) - Static method in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiRingMatMultTranspose: 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 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.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.AbstractDenseSemiringMatrix: 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.CsrSemiRingMatrixBase: 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.CooFieldMatrixBase: Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.Y()).
multTranspose(T) - Method in class org.flag4j.arrays.backend.CsrFieldMatrixBase: 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.DenseFieldMatrixBase: Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.T()).
multTranspose(T) - Method in interface org.flag4j.arrays.backend.MatrixMixinOld: Multiplies this matrix with the transpose of the b tensor as if by this.mult(b.T()).
multTransposeBlocked(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatrixMultTranspose: Multiplies a matrix to the transpose of a second matrix using a blocked algorithm.
multTransposeBlocked(double[], Shape, Field<T>[], Shape) - 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(Field<T>[], Shape, double[], Shape) - 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(Field<T>[], Shape, Field<T>[], Shape) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatrixMultTranspose: Multiplies a matrix to the transpose of a second matrix using a blocked algorithm.
multTransposeBlocked(Semiring<T>[], Shape, Semiring<T>[], Shape, Semiring<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.RealDenseMatrixMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent implementation of a blocked algorithm.
multTransposeBlockedConcurrent(double[], Shape, Field<T>[], Shape) - 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(Field<T>[], Shape, double[], Shape) - 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(Field<T>[], Shape, Field<T>[], Shape) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatrixMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent implementation of a blocked algorithm.
multTransposeBlockedConcurrent(Semiring<T>[], Shape, Semiring<T>[], Shape, Semiring<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.RealDenseMatrixMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent algorithm.
multTransposeConcurrent(double[], Shape, Field<T>[], Shape) - 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(Field<T>[], Shape, double[], Shape) - 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(Field<T>[], Shape, Field<T>[], Shape) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatrixMultTranspose: Multiplies a matrix to the transpose of a second matrix using a concurrent algorithm.
multTransposeConcurrent(Semiring<T>[], Shape, Semiring<T>[], Shape, Semiring<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.

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