C-Index

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C

center - Static variable in class org.flag4j.io.PrintOptions: A flag which indicates if each value should be centered within its column.
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.
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.
chooseAlgorithm(Shape) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Chooses the appropriate matrix transpose algorithm based on the shape of a matrix.
chooseAlgorithmComplex(Shape) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Chooses the appropriate matrix transpose algorithm based on the shape of a matrix.
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.
chooseAlgorithmHermitian(Shape) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Chooses the appropriate matrix hermitian transpose algorithm based on the shape of a matrix.
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.
chooseAlgorithmTensor(int) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Chooses the appropriate algorithm for computing a tensor transpose.
chooseAlgorithmTensor(int, int) - Static method in class org.flag4j.linalg.ops.TransposeDispatcher: Chooses the appropriate algorithm for computing a tensor transpose.
close() - Method in class org.flag4j.io.TensorInputStream: Closes the stream.
close() - Method in class org.flag4j.io.TensorOutputStream: Closes the stream.
CMatrix - Class in org.flag4j.arrays.dense: 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, Field<Complex128>[]) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates a complex matrix with the specified entries, 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(Field<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 entries.
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, Field<Complex128>[]) - Constructor for class org.flag4j.arrays.dense.CMatrix: Creates a complex matrix with the specified entries and shape.
colIndices - Variable in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringMatrix: column indices for non-zero value of this sparse COO matrix.
colIndices - Variable in class org.flag4j.arrays.backend.semiring.CsrSemiRingMatrixBase: Column indices for non-zero values of this sparse CSR matrix.
colIndices - Variable in record class org.flag4j.arrays.backend.SparseMatrixData: The field for the colIndices record component.
colIndices - Variable in class org.flag4j.arrays.backend.CooFieldMatrixBase: column indices for non-zero value of this sparse COO matrix.
colIndices - Variable in class org.flag4j.arrays.backend.CsrFieldMatrixBase: 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.
colIndices() - Method in record class org.flag4j.arrays.backend.SparseMatrixData: Returns the value of the colIndices record component.
colSwaps - Variable in class org.flag4j.linalg.decompositions.lu.LU
CompareRing - Class in org.flag4j.linalg.ops.common.ring_ops: This utility class provides methods useful for comparing elements of a Ring.
CompareRing() - Constructor for class org.flag4j.linalg.ops.common.ring_ops.CompareRing
CompareSemiring - Class in org.flag4j.linalg.ops.common.semiring_ops: This utility class provides methods useful for comparing elements of a Semiring.
CompareSemiring() - Constructor for class org.flag4j.linalg.ops.common.semiring_ops.CompareSemiring
compareTo(Complex128) - Method in class org.flag4j.algebraic_structures.fields.Complex128: Compares this element of the field with b.
compareTo(Complex64) - Method in class org.flag4j.algebraic_structures.fields.Complex64: Compares this element of the field with b.
compareTo(RealFloat32) - Method in class org.flag4j.algebraic_structures.fields.RealFloat32: Compares this element of the ordered field with b.
compareTo(RealFloat64) - Method in class org.flag4j.algebraic_structures.fields.RealFloat64: Compares this element of the ordered field with b.
compareTo(RealInt16) - Method in class org.flag4j.algebraic_structures.rings.RealInt16: Compares this element of the ordered field with b.
compareTo(RealInt32) - Method in class org.flag4j.algebraic_structures.rings.RealInt32: Compares this element of the ordered field with b.
compareTo(BooleanRing) - Method in class org.flag4j.algebraic_structures.semirings.BooleanRing: Compares this element of the semi-ring with b.
compareTo(T) - Method in interface org.flag4j.algebraic_structures.fields.Field: Compares this element of the field with b.
compareTo(T) - Method in interface org.flag4j.algebraic_structures.semirings.Semiring: Compares this element of the semi-ring with b.
COMPLEX_BLOCKED_THRESHOLD - Static variable in class org.flag4j.linalg.ops.TransposeDispatcher: Threshold for using complex blocked algorithm.
COMPLEX_RNG - Variable in class org.flag4j.rng.RandomDenseTensor: Complex pseudorandom number generator.
COMPLEX_RNG - Variable in class org.flag4j.rng.RandomSparseTensor: Complex pseudorandom number generator.
Complex128 - Class in org.flag4j.algebraic_structures.fields: A complex number stored in rectangular form and backed by two 64-bit floating point numbers (one for the real and one for the imaginary component).
Complex128(double) - Constructor for class org.flag4j.algebraic_structures.fields.Complex128: Constructs a complex number with specified real component and zero imaginary component.
Complex128(double, double) - Constructor for class org.flag4j.algebraic_structures.fields.Complex128: Constructs a complex number with specified complex and real components.
Complex128(String) - Constructor for class org.flag4j.algebraic_structures.fields.Complex128: Constructs a complex number from a string of the form "a +/- bi" where a and {b} are real values and either may be omitted.
Complex128(Complex64) - Constructor for class org.flag4j.algebraic_structures.fields.Complex128: Constructs a 128-bit complex number from a 64-bit complex number.
Complex128Operations - Class in org.flag4j.linalg.ops.common.complex: This class provides low level methods for computing operations on complex tensors.
Complex128Operations() - Constructor for class org.flag4j.linalg.ops.common.complex.Complex128Operations
Complex128Properties - Class in org.flag4j.linalg.ops.common.complex: This class contains low-level implementations for operations which check if a complex tensor satisfies some property.
Complex128Properties() - Constructor for class org.flag4j.linalg.ops.common.complex.Complex128Properties
Complex64 - Class in org.flag4j.algebraic_structures.fields: A complex number stored in rectangular form and backed by two 32-bit floating point number (one for the real and one for the imaginary component).
Complex64(double) - Constructor for class org.flag4j.algebraic_structures.fields.Complex64: Constructs a complex number with specified real component and zero imaginary component.
Complex64(double, double) - Constructor for class org.flag4j.algebraic_structures.fields.Complex64: Constructs a complex number with specified complex and real components.
Complex64(float) - Constructor for class org.flag4j.algebraic_structures.fields.Complex64: Constructs a complex number with specified real component and zero imaginary component.
Complex64(float, float) - Constructor for class org.flag4j.algebraic_structures.fields.Complex64: Constructs a complex number with specified complex and real components.
Complex64(String) - Constructor for class org.flag4j.algebraic_structures.fields.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.
Complex64Operations - Class in org.flag4j.linalg.ops.common.complex: This class provides low level methods for computing operations on complex tensors.
Complex64Operations() - Constructor for class org.flag4j.linalg.ops.common.complex.Complex64Operations
Complex64Properties - Class in org.flag4j.linalg.ops.common.complex: This class contains low-level implementations for operations which check if a complex tensor satisfies some property.
Complex64Properties() - Constructor for class org.flag4j.linalg.ops.common.complex.Complex64Properties
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.
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.
ComplexDenseDeterminant() - Constructor for class org.flag4j.linalg.ops.dense.complex.ComplexDenseDeterminant
ComplexDenseSetOperations - Class in org.flag4j.linalg.ops.dense.complex: This class contains low-level implementations of setting operations for complex dense tensors.
ComplexDenseSetOperations() - Constructor for class org.flag4j.linalg.ops.dense.complex.ComplexDenseSetOperations
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(int) - Constructor for class org.flag4j.linalg.decompositions.lu.ComplexLU: Constructs a LU decomposer to decompose the specified matrix.
ComplexLU(int, double) - Constructor for class org.flag4j.linalg.decompositions.lu.ComplexLU: Constructs a LU decomposer to decompose the specified matrix.
ComplexLU(LU.Pivoting) - Constructor for class org.flag4j.linalg.decompositions.lu.ComplexLU: Constructs a LU decomposer to decompose the specified matrix.
ComplexNumberLexer - Class in org.flag4j.io.parsing: A lexer for producing the tokens of a complex number represented as a string.
ComplexNumberLexer(String) - Constructor for class org.flag4j.io.parsing.ComplexNumberLexer
ComplexNumberParser - Class in org.flag4j.io.parsing: A parser for parsing complex numbers represented as a string.
ComplexNumberParser() - Constructor for class org.flag4j.io.parsing.ComplexNumberParser
ComplexNumberParsingException - Exception Class in org.flag4j.util.exceptions: An exception which is thrown when a string representation of a complex number cannot be parsed.
ComplexNumberParsingException(String) - Constructor for exception class org.flag4j.util.exceptions.ComplexNumberParsingException: Creates a LinearAlgebraException to be thrown for a complex number parsing related error.
ComplexNumberToken - Class in org.flag4j.io.parsing: A ComplexNumberToken is the smallest unit of a string which is being parsed to a complex number.
ComplexNumberToken(String, String) - Constructor for class org.flag4j.io.parsing.ComplexNumberToken: Creates a token of the specified kind and with the specified details.
ComplexOpsMixin<T> - Interface in org.flag4j.arrays.backend: This interface defines operations that complex-valued matrices should implement.
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.
ComplexSparseMatrixGetSet - Class in org.flag4j.linalg.ops.sparse.coo.complex: This class contains methods for getting/setting elements and slices from/to a complex sparse matrix.
ComplexSparseMatrixGetSet() - Constructor for class org.flag4j.linalg.ops.sparse.coo.complex.ComplexSparseMatrixGetSet
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.
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 entries 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 entries 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.
computeRows(int) - Method in class org.flag4j.linalg.decompositions.lu.ComplexLU: Helper method which computes rows in the gaussian elimination algorithm.
computeRows(int) - Method in class org.flag4j.linalg.decompositions.lu.FieldLU: Helper method which computes rows in the gaussian elimination algorithm.
computeRows(int) - Method in class org.flag4j.linalg.decompositions.lu.RealLU: Helper method which computes rows in the gaussian elimination algorithm.
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.field_ops.DenseFieldMatMultDispatcher.AlgorithmNames
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.MatrixMultiplyDispatcher.AlgorithmName
CONCURRENT_BLOCKED - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
CONCURRENT_BLOCKED - Enum constant in enum class org.flag4j.linalg.ops.TransposeDispatcher.TransposeAlgorithms: A concurrent implementation of the blocked algorithm
CONCURRENT_BLOCKED_REORDERED - Enum constant in enum class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatMultDispatcher.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.MatrixMultiplyDispatcher.AlgorithmName
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.field_ops.DenseFieldMatMultDispatcher.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.MatrixMultiplyDispatcher.AlgorithmName
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.field_ops.DenseFieldMatMultDispatcher.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.MatrixMultiplyDispatcher.AlgorithmName
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.field_ops.DenseFieldMatMultDispatcher.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.MatrixMultiplyDispatcher.AlgorithmName
CONCURRENT_STANDARD - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
CONCURRENT_STANDARD - Enum constant in enum class org.flag4j.linalg.ops.TransposeDispatcher.TransposeAlgorithms: A concurrent implementation of the standard algorithm
CONCURRENT_STANDARD_VECTOR - Enum constant in enum class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatMultDispatcher.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.MatrixMultiplyDispatcher.AlgorithmName
CONCURRENT_STANDARD_VECTOR - Enum constant in enum class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher.AlgorithmNames
CONCURRENT_SWAPPED_THRESHOLD - Static variable in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatMultDispatcher: Threshold for matrices to use the concurrent ikj algorithm.
CONCURRENT_SWAPPED_THRESHOLD - Static variable in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiRingMatMultDispatcher: Threshold for matrices to use the concurrent ikj algorithm.
CONCURRENT_SWAPPED_THRESHOLD - Static variable in class org.flag4j.linalg.ops.MatrixMultiplyDispatcher: Threshold for matrices to use the concurrent ikj algorithm.
CONCURRENT_SWAPPED_THRESHOLD - Static variable in class org.flag4j.linalg.ops.RealDenseMatrixMultiplyDispatcher: Threshold for matrices to use the concurrent ikj algorithm.
CONCURRENT_THRESHOLD - Static variable in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldElemDiv: Minimum number of entries in each tensor to apply concurrent algorithm.
CONCURRENT_THRESHOLD - Static variable in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldElemMult: Minimum number of entries in each tensor to apply concurrent algorithm.
CONCURRENT_THRESHOLD - Static variable in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseElemDiv: Minimum number of entries in each tensor to apply concurrent algorithm.
CONCURRENT_THRESHOLD - Static variable in class org.flag4j.linalg.ops.dense.real_field_ops.RealFieldDenseElemMult: Minimum number of entries in each tensor to apply concurrent algorithm.
CONCURRENT_THRESHOLD - Static variable in class org.flag4j.linalg.ops.dense.real.RealDenseElemDiv: Minimum number of entries in each tensor to apply concurrent algorithm.
CONCURRENT_THRESHOLD - Static variable in class org.flag4j.linalg.ops.dense.real.RealDenseElemMult: Minimum number of entries in each tensor to apply concurrent algorithm.
CONCURRENT_THRESHOLD - Static variable in class org.flag4j.linalg.ops.dense.semiring_ops.DenseSemiRingElemMult: Minimum number of entries in each tensor to apply concurrent algorithm.
CONCURRENT_THRESHOLD - Static variable in class org.flag4j.linalg.ops.TransposeDispatcher: Threshold for number of elements in matrix to use concurrent implementation.
concurrentBlocked(double[], Shape, double[], Shape) - Static method in class org.flag4j.linalg.ops.dense.real.RealDenseMatrixMultiplication: Computes the matrix multiplication of two real dense matrices using a concurrent implementation of a blocked algorithm.
concurrentBlocked(double[], Shape, Field<T>[], Shape) - 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(Field<T>[], Shape, double[], Shape) - 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(Field<T>[], Shape, Field<T>[], Shape) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatrixMultiplication: Computes the matrix multiplication of two dense matrices using a concurrent implementation of a blocked algorithm.
concurrentBlocked(Semiring<T>[], Shape, Semiring<T>[], Shape, Semiring<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.RealDenseMatrixMultiplication: 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, Field<T>[], Shape) - 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(Field<T>[], Shape, double[], Shape) - 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(Field<T>[], Shape, Field<T>[], Shape) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatrixMultiplication: Computes the matrix multiplication of two dense matrices using a concurrent implementation of a blocked algorithm with the j-k loops swapped.
concurrentBlockedReordered(Semiring<T>[], Shape, Semiring<T>[], Shape, Semiring<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.RealDenseSparseMatrixMultiplication: 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.RealDenseMatrixMultiplication: Computes the multiplication of a real dense matrix with a real dense vector using a concurrent implementation of a blocked algorithm.
concurrentBlockedVector(double[], Shape, Field<T>[], int[]) - 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, Field<T>[], Shape) - 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(Field<T>[], Shape, double[], int[]) - 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(Field<T>[], Shape, double[], Shape) - 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(Field<T>[], Shape, Field<T>[], int[]) - 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(Field<T>[], Shape, Field<T>[], Shape) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatrixMultiplication: Computes the multiplication of a dense matrix with a dense vector using a concurrent implementation of a blocked algorithm.
concurrentBlockedVector(Semiring<T>[], Shape, Semiring<T>[], Shape, Semiring<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.RealDenseMatrixMultiplication: 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, Field<T>[], Shape) - 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(Field<T>[], Shape, double[], Shape) - 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(Field<T>[], Shape, Field<T>[], Shape) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatrixMultiplication: Computes the matrix multiplication of two dense matrices using a concurrent implementation of the standard matrix multiplication algorithm with j-k loops swapped.
concurrentReordered(Semiring<T>[], Shape, Semiring<T>[], Shape, Semiring<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.RealSparseMatrixMultiplication: 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.RealDenseSparseMatrixMultiplication: Computes the matrix multiplication between a real sparse matrix and a real dense matrix using a concurrent standard algorithm.
concurrentStandard(double[], int[], int[], Shape, Field<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, Field<T>[], Shape) - 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.RealDenseSparseMatrixMultiplication: 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.RealDenseMatrixMultiplication: Computes the matrix multiplication of two real dense matrices using a concurrent implementation of the standard matrix multiplication algorithm.
concurrentStandard(double[], Shape, Field<T>[], int[], int[], Shape) - 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, Field<T>[], Shape) - 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(Field<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(Field<T>[], int[], int[], Shape, double[], Shape) - 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(Field<T>[], int[], int[], Shape, Field<T>[], int[], int[], Shape) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldMatMult: Computes the matrix multiplication between two sparse matrices using a concurrent implementation of the standard algorithm.
concurrentStandard(Field<T>[], int[], int[], Shape, Field<T>[], Shape) - 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(Field<T>[], Shape, double[], int[], int[], Shape) - 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(Field<T>[], Shape, double[], Shape) - 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(Field<T>[], Shape, Field<T>[], int[], int[], Shape) - 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(Field<T>[], Shape, Field<T>[], Shape) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatrixMultiplication: Computes the matrix multiplication of two dense matrices using a concurrent implementation of the standard matrix multiplication algorithm.
concurrentStandard(Semiring<T>[], int[], int[], Shape, Semiring<T>[], int[], int[], Shape) - 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(Semiring<T>[], Shape, Semiring<T>[], Shape, Semiring<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.RealSparseMatrixMultiplication: 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.RealDenseSparseMatrixMultiplication: Computes the sparse matrix dense vector multiplication using a concurrent standard algorithm.
concurrentStandardVector(double[], int[], int[], Shape, Field<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, Field<T>[], Shape) - 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.RealDenseSparseMatrixMultiplication: 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.RealDenseMatrixMultiplication: 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, Field<T>[], int[]) - 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, Field<T>[], Shape) - 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(Field<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(Field<T>[], int[], int[], Shape, double[], Shape) - 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(Field<T>[], int[], int[], Shape, Field<T>[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldMatMult: Computes the multiplication between a sparse matrix and a sparse vector using a concurrent implementation of the standard algorithm.
concurrentStandardVector(Field<T>[], int[], int[], Shape, Field<T>[], Shape) - 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(Field<T>[], Shape, double[], int[]) - 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(Field<T>[], Shape, double[], Shape) - 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(Field<T>[], Shape, Field<T>[], int[]) - 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(Field<T>[], Shape, Field<T>[], Shape) - Static method in class org.flag4j.linalg.ops.dense.field_ops.DenseFieldMatrixMultiplication: Computes the multiplication of a dense matrix with a dense vector using a concurrent implementation of the standard matrix multiplication algorithm.
concurrentStandardVector(Semiring<T>[], int[], int[], Shape, Semiring<T>[], int[]) - 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(Semiring<T>[], Shape, Semiring<T>[], Shape, Semiring<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.
Condition - Class in org.flag4j.linalg: Utility class for computing the condition number of a matrix.
Condition() - Constructor for class org.flag4j.linalg.Condition
Configurations - Class in org.flag4j.concurrency: Configurations for standard and concurrent operations.
Configurations() - Constructor for class org.flag4j.concurrency.Configurations
conj() - Method in class org.flag4j.algebraic_structures.fields.Complex128: Computes the conjugate of this field element.
conj() - Method in class org.flag4j.algebraic_structures.fields.Complex64: Computes the conjugate of this field element.
conj() - Method in interface org.flag4j.algebraic_structures.rings.Ring: Computs the conjugation of this ring element.
conj() - Method in interface org.flag4j.arrays.backend.field.FieldTensorMixin: Computes the element-wise conjugation of this tensor.
conj() - Method in interface org.flag4j.arrays.backend.ring.RingTensorMixin: Computes the element-wise conjugation of this tensor.
conj() - Method in interface org.flag4j.arrays.backend.ring.TensorOverRing: Computes the element-wise conjugation of this tensor.
conj() - Method in interface org.flag4j.arrays.backend.ComplexOpsMixin: Computes the element-wise conjugation of this tensor.
conj() - Method in class org.flag4j.arrays.backend.FieldTensorBase: Computes the element-wise conjugation of this tensor.
conj() - Method in class org.flag4j.arrays.backend.PrimitiveDoubleTensorBase: Computes the element-wise conjugation of this tensor.
conj() - Method in class org.flag4j.arrays.backend.TensorOverRing: Computes the element-wise conjugation of this tensor.
conj() - Method in class org.flag4j.arrays.dense.Matrix: Computes the element-wise conjugation of this tensor.
conj() - Method in class org.flag4j.arrays.dense.Vector: Computes the element-wise conjugation of this tensor.
conj(Field<Complex128>[]) - Static method in class org.flag4j.linalg.ops.common.complex.Complex128Operations: Computes the element-wise complex conjugate of a tensor.
conj(Field<V>[], Field<V>[]) - Static method in class org.flag4j.linalg.ops.common.field_ops.FieldOps: Computes the element-wise complex conjugate of a tensor.
conj(Ring<T>[], Ring<T>[]) - Static method in class org.flag4j.linalg.ops.common.ring_ops.RingOps: Computes the element-wise conjugation of an array.
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.ComplexNumberLexer: 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<Field<Complex128>>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Creates a sparse coo matrix with the specified non-zero entries, non-zero indices, and shape.
CooCMatrix(int, int, Field<Complex128>[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Creates a sparse coo matrix with the specified non-zero entries, non-zero indices, and shape.
CooCMatrix(int, Field<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 entries, non-zero indices, and shape.
CooCMatrix(Shape, List<Field<Complex128>>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Creates a sparse coo matrix with the specified non-zero entries, non-zero indices, and shape.
CooCMatrix(Shape, Field<Complex128>[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooCMatrix: Creates a sparse coo matrix with the specified non-zero entries, 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.
CooConcat() - Constructor for class org.flag4j.linalg.ops.sparse.coo.CooConcat
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 entries and shape.
CooCTensor(Shape, double[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooCTensor: Creates a tensor with the specified entries and shape.
CooCTensor(Shape, List<Field<Complex128>>, List<int[]>) - Constructor for class org.flag4j.arrays.sparse.CooCTensor: Creates a tensor with the specified entries and shape.
CooCTensor(Shape, Complex64[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooCTensor: Creates a tensor with the specified entries and shape.
CooCTensor(Shape, Field<Complex128>[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooCTensor: Creates a tensor with the specified entries and shape.
CooCTensor(CooCTensor) - Constructor for class org.flag4j.arrays.sparse.CooCTensor: Constructs a copy of a sparse COO tensor.
CooCTensor64 - Class in org.flag4j.arrays.sparse: Sparse complex tensor stored in coordinate list (COO) format.
CooCTensor64(Shape) - Constructor for class org.flag4j.arrays.sparse.CooCTensor64: Creates a tensor with the specified entries and shape.
CooCTensor64(Shape, List<Field<Complex64>>, List<int[]>) - Constructor for class org.flag4j.arrays.sparse.CooCTensor64: Creates a tensor with the specified entries and shape.
CooCTensor64(Shape, Field<Complex64>[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooCTensor64: Creates a tensor with the specified entries and shape.
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<Field<Complex128>>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooCVector: Constructs a complex COO vector with the specified size, non-zero entries, and non-zero indices.
CooCVector(int, Field<Complex128>[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooCVector: Creates a tensor with the specified entries 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.
CooDataSorter(T[], int[][], boolean) - Constructor for class org.flag4j.linalg.ops.sparse.coo.CooDataSorter: Wraps the data, and it's associated indices, of a sparse tensor.
CooFieldElementSearch - Class in org.flag4j.linalg.ops.sparse.coo.field_ops: Utility class for searching for specific elements within a sparse COO matrix.
CooFieldElementSearch() - Constructor for class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldElementSearch
CooFieldEquals - Class in org.flag4j.linalg.ops.sparse.coo.field_ops: This utility class contains methods for checking the equality, or approximately equal, of sparse tensors whose entries are field elements.
CooFieldEquals() - Constructor for class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldEquals
CooFieldMatMult - Class in org.flag4j.linalg.ops.sparse.coo.field_ops: This class contains low level methods for computing the matrix multiplication of sparse Field matrices/vectors.
CooFieldMatMult() - Constructor for class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldMatMult
CooFieldMatrix<T> - Class in org.flag4j.arrays.sparse: A sparse matrix stored in coordinate list (COO) format.
CooFieldMatrix(int, int, List<Field<T>>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooFieldMatrix: Creates a sparse coo matrix with the specified non-zero entries, non-zero indices, and shape.
CooFieldMatrix(int, int, Field<T>[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooFieldMatrix: Creates a sparse coo matrix with the specified non-zero entries, non-zero indices, and shape.
CooFieldMatrix(Shape, List<Field<T>>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooFieldMatrix: Creates a sparse coo matrix with the specified non-zero entries, non-zero indices, and shape.
CooFieldMatrix(Shape, Field<T>[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooFieldMatrix: Creates a sparse coo matrix with the specified non-zero entries, non-zero indices, and shape.
CooFieldMatrixBase<T,U,V,W,Y> - Class in org.flag4j.arrays.backend: A real sparse matrix stored in coordinate list (COO) format.
CooFieldMatrixBase(Shape, List<Field<Y>>, List<Integer>, List<Integer>) - Constructor for class org.flag4j.arrays.backend.CooFieldMatrixBase: Creates a sparse coo matrix with the specified non-zero entries, non-zero indices, and shape.
CooFieldMatrixBase(Shape, Field<Y>[], int[], int[]) - Constructor for class org.flag4j.arrays.backend.CooFieldMatrixBase: Creates a sparse coo matrix with the specified non-zero entries, non-zero indices, and shape.
CooFieldMatrixGetSet - Class in org.flag4j.linalg.ops.sparse.coo.field_ops: This class contains methods for getting/setting elements and slices from/to a sparse Field matrix.
CooFieldMatrixGetSet() - Constructor for class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldMatrixGetSet
CooFieldMatrixManipulations - Class in org.flag4j.linalg.ops.sparse.coo.field_ops: This class contains implementations for sparse Field matrix manipulations.
CooFieldMatrixManipulations() - Constructor for class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldMatrixManipulations
CooFieldMatrixOperations - Class in org.flag4j.linalg.ops.sparse.coo.field_ops: This class has low level implementations for operations between two sparse coo Field matrices.
CooFieldMatrixOperations() - Constructor for class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldMatrixOperations
CooFieldMatrixProperties - Class in org.flag4j.linalg.ops.sparse.coo.field_ops: This class contains low level implementations for methods to evaluate certain properties of a sparse coo field matrix.
CooFieldMatrixProperties() - Constructor for class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldMatrixProperties
CooFieldNorms - Class in org.flag4j.linalg.ops.sparse.coo.field_ops: This utility class contains low level implementations of norms for sparse field coo tensors, matrices and vectors.
CooFieldNorms() - Constructor for class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldNorms
CooFieldTensor<T> - Class in org.flag4j.arrays.sparse: Sparse tensor stored in coordinate list (COO) format.
CooFieldTensor(Shape, List<Field<T>>, List<int[]>) - Constructor for class org.flag4j.arrays.sparse.CooFieldTensor: Creates a tensor with the specified entries and shape.
CooFieldTensor(Shape, Field<T>[], int[][]) - Constructor for class org.flag4j.arrays.sparse.CooFieldTensor: creates a tensor with the specified entries and shape.
CooFieldTensorBase<T,U,V> - Class in org.flag4j.arrays.backend: Base class for all sparse tensors stored in coordinate list (COO) format.
CooFieldTensorBase(Shape, Field<V>[], int[][]) - Constructor for class org.flag4j.arrays.backend.CooFieldTensorBase: Creates a tensor with the specified entries and shape.
CooFieldTensorDot - Class in org.flag4j.linalg.ops.sparse.coo.field_ops: Utility class for computing tensor dot products between two COO field tensors.
CooFieldTensorDot() - Constructor for class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldTensorDot
CooFieldTensorOperations - Class in org.flag4j.linalg.ops.sparse.coo.field_ops: Utility class for computing operations between two sparse COO tensors whose elements are members of a Field.
CooFieldTensorOperations() - Constructor for class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldTensorOperations
CooFieldVector<T> - Class in org.flag4j.arrays.sparse: A sparse vector stored in coordinate list (COO) format.
CooFieldVector(int) - Constructor for class org.flag4j.arrays.sparse.CooFieldVector: Creates a zero vector of the specified size.
CooFieldVector(int, List<Field<T>>, List<Integer>) - Constructor for class org.flag4j.arrays.sparse.CooFieldVector: Creates sparse COO vector with the specified size, non-zero entries, and non-zero indices.
CooFieldVector(int, Field<T>[], int[]) - Constructor for class org.flag4j.arrays.sparse.CooFieldVector: Creates sparse COO vector with the specified size, non-zero entries, and non-zero indices.
CooFieldVectorBase<T,U,V,W,Y> - Class in org.flag4j.arrays.backend: A sparse vector stored in coordinate list (COO) format.
CooFieldVectorBase(int, Field<Y>[], int[]) - Constructor for class org.flag4j.arrays.backend.CooFieldVectorBase: Creates a tensor with the specified entries and shape.
CooFieldVectorOperations - Class in org.flag4j.linalg.ops.sparse.coo.field_ops: This utility class contains methods for computing operations between two sparse coo Field vectors.
CooFieldVectorOperations() - Constructor for class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldVectorOperations
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.
CooGetSet() - Constructor for class org.flag4j.linalg.ops.sparse.coo.CooGetSet
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.
CooManipulations() - Constructor for class org.flag4j.linalg.ops.sparse.coo.CooManipulations
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 entries, 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 entries, 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 entries, 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 entries, 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 entries, 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(CooFieldMatrixBase<?, ?, ?, ?, T>, CooFieldMatrixBase<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldEquals: 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.
CooMatrixMixin<T,U,V,W,X,Y> - Interface in org.flag4j.arrays.backend: This interface specifies methods which all sparse COO matrices should implement.
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.
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.
CooSemiringMatMult() - Constructor for class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringMatMult
CooSemiringMatrixOps - Class in org.flag4j.linalg.ops.sparse.coo.semiring_ops: Utility class for computing various operations on and between sparse COO Semiring matrices.
CooSemiringMatrixOps() - Constructor for class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringMatrixOps
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.
CooSemiringMatrixProperties() - Constructor for class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringMatrixProperties
CooSemiringTensorOps - Class in org.flag4j.linalg.ops.sparse.coo.semiring_ops: This utility class contains methods for computing operations on two Semiring tensors.
CooSemiringTensorOps() - Constructor for class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringTensorOps
CooSemiringVectorOps - Class in org.flag4j.linalg.ops.sparse.coo.semiring_ops: Utility class for computing operations between sparse COO Semiring vectors.
CooSemiringVectorOps() - Constructor for class org.flag4j.linalg.ops.sparse.coo.semiring_ops.CooSemiringVectorOps
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 entries 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 entries, and indices.
CooTensor(Shape, List<Double>, List<int[]>) - Constructor for class org.flag4j.arrays.sparse.CooTensor: Creates a tensor with the specified entries and shape.
CooTensor(CooTensor) - Constructor for class org.flag4j.arrays.sparse.CooTensor: Constructs a copy of the specified matrix.
cooTensorEquals(CooFieldTensorBase<?, ?, T>, CooFieldTensorBase<?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldEquals: 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.
CooTranspose() - Constructor for class org.flag4j.linalg.ops.sparse.coo.CooTranspose
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 entries, 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 entries, 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 entries, 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 entries, and non-zero indices.
CooVector(CooVector) - Constructor for class org.flag4j.arrays.sparse.CooVector: Constructs a copy of the specified sparse COO vector.
cooVectorEquals(CooFieldVectorBase<?, ?, ?, ?, T>, CooFieldVectorBase<?, ?, ?, ?, T>) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldEquals: 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.field.AbstractDenseFieldTensor: 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.ring.AbstractDenseRingTensor: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringMatrix: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringTensor: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.semiring.AbstractCooSemiringVector: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.semiring.AbstractDenseSemiringTensor: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.semiring.CsrSemiRingMatrixBase: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.CooFieldTensorBase: Creates a deep copy of this tensor.
copy() - Method in class org.flag4j.arrays.backend.FieldTensorBase: Creates a copy of this tensor.
copy() - Method in interface org.flag4j.arrays.backend.MatrixMixinOld: Creates a deep copy of this matrix.
copy() - Method in class org.flag4j.arrays.backend.PrimitiveDoubleTensorBase: Creates a deep copy of this tensor.
copy() - Method in interface org.flag4j.arrays.backend.TensorMixin: 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(CooFieldMatrixBase<?, ?, ?, ?, V>, Field<V>[], int[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldMatrixManipulations: A helper method which copies from a sparse matrix to a set of three arrays_old (non-zero entries, row indices, and column indices) but skips over a specified range.
copyRanges(CooMatrix, double[], int[], int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixManipulations: A helper method which copies from a sparse matrix to a set of three arrays_old (non-zero entries, row indices, and column indices) but skips over a specified range.
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 entries, row indices, and column indices) but skips over a specified range.
copyUpperTri(CMatrix) - Method in class org.flag4j.linalg.decompositions.hess.HermHess: Copies the upper triangular portion of a matrix to the working matrix UnitaryDecomposition.transformMatrix.
copyUpperTri(Matrix) - Method in class org.flag4j.linalg.decompositions.hess.SymmHess: Copies the upper triangular portion of a matrix to the working matrix UnitaryDecomposition.transformMatrix.
copyValuesNotInSlice(CooFieldMatrixBase<?, ?, ?, ?, V>, List<Field<V>>, List<Integer>, List<Integer>, int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.field_ops.CooFieldMatrixGetSet: Copies values in sparse matrix which do not fall in the specified row and column ranges.
copyValuesNotInSlice(CooCMatrix, List<Field<Complex128>>, List<Integer>, List<Integer>, int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.complex.ComplexSparseMatrixGetSet: Copies values in sparse matrix which do not fall in the specified row and column ranges.
copyValuesNotInSlice(CooMatrix, List<Double>, List<Integer>, List<Integer>, int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.real.RealSparseMatrixGetSet: Copies values in sparse matrix which do not fall in the specified row and column ranges.
copyValuesNotInSlice(T[], int[], int[], List<T>, List<Integer>, List<Integer>, int[], int[]) - Static method in class org.flag4j.linalg.ops.sparse.coo.CooGetSet: Copies values in sparse matrix which do not fall in the specified row and column ranges.
cos(Complex128) - Static method in class org.flag4j.algebraic_structures.fields.Complex128: Computes the trigonometric cosine value of a complex value.
cos(Complex64) - Static method in class org.flag4j.algebraic_structures.fields.Complex64: Computes the trigonometric cosine value of a complex value.
cosh(Complex128) - Static method in class org.flag4j.algebraic_structures.fields.Complex128: Computes the hyperbolic cosine of a complex value.
cosh(Complex64) - Static method in class org.flag4j.algebraic_structures.fields.Complex64: Computes the hyperbolic cosine of a complex value.
createComplexChol() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the Cholesky decomposition of a complex dense matrix.
createComplexHess() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the Hessenburg decomposition of a complex dense matrix.
createComplexLU() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the LU decomposition of a complex dense matrix.
createComplexQR() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the QR decomposition of a complex dense matrix.
createComplexSchur() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the Schur decomposition of a complex dense matrix.
createComplexSVD() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the singular value decomposition of a complex dense matrix.
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.
createNewStrides() - Method in class org.flag4j.arrays.Shape: Constructs strides for each dimension of this shape as if for a newly constructed tensor.
createRealChol() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the Cholesky decomposition of a real dense matrix.
createRealHess() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the Hessenburg decomposition of a real dense matrix.
createRealLU() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the LU decomposition of a real dense matrix.
createRealQR() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the QR decomposition of a real dense matrix.
createRealSchur() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the Schur decomposition of a real dense matrix.
createRealSVD() - Static method in class org.flag4j.linalg.decompositions.DecompositionFactory: Constructs a decomposer to compute the singular value decomposition of a real dense matrix.
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(Vector) - Method in class org.flag4j.arrays.dense.Vector: Computes the vector cross product between two vectors.
cross(T) - Method in class org.flag4j.arrays.backend.DenseFieldVectorBase: Computes the vector cross product between two vectors.
cross(T) - Method in interface org.flag4j.arrays.backend.DenseVectorMixin: 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<Field<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 entries, row pointers, and non-zero column indices.
CsrCMatrix(int, int, Field<Complex128>[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CsrCMatrix: Creates a complex sparse CSR matrix with the specified shape, non-zero entries, 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<Field<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 entries, row pointers, and non-zero column indices.
CsrCMatrix(Shape, Field<Complex128>[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CsrCMatrix: Creates a complex sparse CSR matrix with the specified shape, non-zero entries, row pointers, and non-zero column indices.
CSREquals(CsrFieldMatrixBase<?, ?, ?, ?, T>, CsrFieldMatrixBase<?, ?, ?, ?, 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.
CsrFieldEquals - Class in org.flag4j.linalg.ops.sparse.csr.field_ops: This class contains methods to check equality or approximate equality between two sparse CSR field matrices.
CsrFieldEquals() - Constructor for class org.flag4j.linalg.ops.sparse.csr.field_ops.CsrFieldEquals
CsrFieldMatMult - Class in org.flag4j.linalg.ops.sparse.csr.field_ops: This class contains low-level implementations of sparse-sparse Field matrix multiplication where the sparse matrices are in CSR format.
CsrFieldMatMult() - Constructor for class org.flag4j.linalg.ops.sparse.csr.field_ops.CsrFieldMatMult
CsrFieldMatrix<T> - Class in org.flag4j.arrays.sparse: A sparse matrix stored in compressed sparse row (CSR) format.
CsrFieldMatrix(Shape, Field<T>[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CsrFieldMatrix: Creates a sparse CSR matrix with the specified shape, non-zero entries, row pointers, and non-zero column indices.
CsrFieldMatrixBase<T,U,V,W,Y> - Class in org.flag4j.arrays.backend: A real sparse matrix stored in compressed sparse row (CSR) format.
CsrFieldMatrixBase(Shape, Field<Y>[], int[], int[]) - Constructor for class org.flag4j.arrays.backend.CsrFieldMatrixBase: Creates a sparse CSR matrix with the specified shape, non-zero entries, row pointers, and non-zero column indices.
CsrFieldMatrixManipulations - Class in org.flag4j.linalg.ops.sparse.csr.field_ops: This utility class contains methods for manipulating CSR Field matrices.
CsrFieldMatrixManipulations() - Constructor for class org.flag4j.linalg.ops.sparse.csr.field_ops.CsrFieldMatrixManipulations
CsrFieldMatrixOperations - Class in org.flag4j.linalg.ops.sparse.csr.field_ops: This class contains low-level implementations for element-wise operations on CSR Field matrices.
CsrFieldMatrixOperations() - Constructor for class org.flag4j.linalg.ops.sparse.csr.field_ops.CsrFieldMatrixOperations
CsrFieldMatrixProperties - Class in org.flag4j.linalg.ops.sparse.csr.field_ops: This utility class contains methods usefully for determining properties of a sparse CSR Field matrix.
CsrFieldMatrixProperties() - Constructor for class org.flag4j.linalg.ops.sparse.csr.field_ops.CsrFieldMatrixProperties
CsrFieldMatrixTensorDot - Class in org.flag4j.linalg.ops.sparse.csr.field_ops: This utility class provides implementations for tensor dot products on two sparse CSR Field matrices.
CsrFieldMatrixTensorDot() - Constructor for class org.flag4j.linalg.ops.sparse.csr.field_ops.CsrFieldMatrixTensorDot
CsrMatrix - Class in org.flag4j.arrays.sparse: A real sparse matrix stored in 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 entries, row pointers, and non-zero column indices.
CsrMatrix(Shape, double[], int[], int[]) - Constructor for class org.flag4j.arrays.sparse.CsrMatrix: Creates a sparse CSR matrix with the specified shape, non-zero entries, row pointers, and non-zero column indices.
CsrMatrixMixin<T,U,V,W,X,Y> - Interface in org.flag4j.arrays.backend: This interface specifies methods which all sparse CSR matrices should implement.
CsrSemiRingMatrixBase<T,U,V,W> - Class in org.flag4j.arrays.backend.semiring_arrays: A real sparse matrix stored in compressed sparse row (CSR) format.
CsrSemiRingMatrixBase(Shape, Semiring<W>[], int[], int[]) - Constructor for class org.flag4j.arrays.backend.semiring.CsrSemiRingMatrixBase: Creates a sparse CSR matrix with the specified shape, non-zero entries, 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(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 entries 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 entries 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, 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 entries and shape.
CTensor(Shape, Field<Complex128>[]) - Constructor for class org.flag4j.arrays.dense.CTensor: Creates a tensor with the specified entries and shape.
CTensor64 - Class in org.flag4j.arrays.dense: A dense complex tensor backed by an array of Complex128's.
CTensor64(Shape) - Constructor for class org.flag4j.arrays.dense.CTensor64: Creates a zero tensor with the specified shape.
CTensor64(Shape, String) - Constructor for class org.flag4j.arrays.dense.CTensor64: Creates a tensor with the specified shape and filled with fillValue.
CTensor64(Shape, String[]) - Constructor for class org.flag4j.arrays.dense.CTensor64: Creates a tensor with the specified entries and shape.
CTensor64(Shape, Complex64) - Constructor for class org.flag4j.arrays.dense.CTensor64: Creates a tensor with the specified shape and filled with fillValue.
CTensor64(Shape, Field<Complex64>[]) - Constructor for class org.flag4j.arrays.dense.CTensor64: Creates a tensor with the specified entries and shape.
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.
CVector - Class in org.flag4j.arrays.dense: A complex dense vector whose entries are Complex128's.
CVector(double...) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a complex vector with the specified entries.
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 entries.
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(Complex64...) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a complex vector with the specified entries.
CVector(Field<Complex128>...) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a complex vector with the specified entries.
CVector(CVector) - Constructor for class org.flag4j.arrays.dense.CVector: Creates a copy of the provided vector.

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