All Classes and Interfaces

Class	Description
AggregateComplex	This class contains several low-level methods useful for computing aggregation operations on dense/sparse complex tensors.
AggregateDenseComplex	This class contains several low-level methods useful for computing aggregation operations on dense tensors.
AggregateDenseReal	This class contains several low-level methods useful for computing aggregation operations on dense tensors.
AggregateReal	This class contains several low-level methods useful for computing aggregation operations on dense/sparse tensors.
ArrayUtils	This class provides several utility methods useful for array manipulation and copying.
Axis2D	Simple enum class for two-dimensional axis.
BackSolver<T,U,V>	Base class for solvers which solve a linear system of equations U*x=b or U*X=B where U is an upper triangular matrix.
Cholesky<T>	This abstract class specifies methods for computing the Cholesky decomposition of a positive-definite matrix.
CMatrix	Complex dense matrix.
CNumber	A complex number stored in rectangular form with both the real and imaginary components stored as a 64-bit floats.
CNumberLexer	A lexer for producing the tokens of a complex number represented as a string.
CNumberParser	A parser for complex numbers represented as a string.
CNumberToken	A CNumberToken is the smallest unit of a string which is being parsed to a complex number.
CNumberUtils	Contains simple utility functions for the CNumber object.
ComplexBackSolver	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.
ComplexCholesky	This abstract class specifies methods for computing the Cholesky decomposition of a hermitian positive-definite matrix.
ComplexCooTensorDot	Utility class for computing tensor dot products between two complex sparse COO tensors.
ComplexCooTensorOperations	Utility class for computing operations between two complex sparse COO tensors.
ComplexCsrDenseMatrixMultiplication	This class contains low-level implementations of complex-complex sparse-sparse matrix multiplication where the sparse matrices are in CSR format.
ComplexCsrDenseOperations	This class contains low-level operations which act on a complex dense and a complex sparse CSR matrix.
ComplexCsrEquals	This class contains methods to check equality or approximate equality between two complex sparse CSR matrices.
ComplexCsrManipulations	Utility class for manipulating real sparse CSR matrices (e.g.
ComplexCsrMatrixMultiplication	This class contains low-level implementations of complex-complex sparse-sparse matrix multiplication where the sparse matrices are in CSR format.
ComplexCsrOperations	This class contains low-level implementations for element-wise operations on complex CSR matrices.
ComplexCsrProperties	This class contains low-level implementations for determining certain properties of complex sparse CSR matrices.
ComplexDenseDeterminant	This class contains methods for computing the determinant of a complex dense matrix.
ComplexDenseElemDiv	This class contains low-level implementations of complex element-wise tensor multiplication.
ComplexDenseElemMult	This class contains low-level implementations of complex element-wise tensor multiplication.
ComplexDenseEquals	This class provides methods for checking the equality of complex dense tensors.
ComplexDenseMatrixMultiplication	This class contains several low level methods for computing complex matrix-matrix multiplications.
ComplexDenseMatrixMultTranspose	This class contains several low level methods for computing matrix-matrix multiplications with a transpose for two dense complex matrices.
ComplexDenseOperations	This class provides low level methods for computing operations on dense complex tensors.
ComplexDenseProperties	This class contains low-level implementations for operations which check if a complex tensor satisfies some property.
ComplexDenseSetOperations	This class contains low-level implementations of setting operations for complex dense tensors.
ComplexDenseSparseEquals	This class provides methods for checking the equality of a complex dense tensor with a complex sparse tensor.
ComplexDenseSparseMatrixMultiplication	This class provides low level methods for computing the matrix multiplication between a sparse/dense matrix and dense/sparse matrix/vector.
ComplexDenseSparseMatrixMultTranspose	This class contains several low level methods for computing matrix-matrix multiplications with a transpose for a complex dense matrix and a complex sparse matrix.
ComplexDenseSparseMatrixOperations	This class contains low level implementations for operations between a dense and a sparse complex matrix.
ComplexDenseSparseOperations	This class contains methods to apply common binary operations to a complex dense/sparse matrix and to a complex sparse/dense matrix.
ComplexDenseSparseVectorOperations	This class provides low level methods for computing operations between complex dense/sparse and complex sparse/dense vectors.
ComplexDenseTensorBase<T,Y>	The base class for all complex dense tensors.
ComplexDenseTensorDot	This class contains methods for computing a tensor dot product, i.e.
ComplexDenseTranspose	This class contains several algorithms for computing the transpose of a complex dense tensor.
ComplexDenseVectorOperations	This class provides low level implementations for vector operations with two complex dense vectors.
ComplexExactSolver	Solver for solving a well determined system of linear equations in an exact sense using the LU decomposition.
ComplexExactTensorSolver	Solver for solving a complex well determined linear tensor equation A*X=B in an exact sense.
ComplexForwardSolver	This solver solves linear systems of equations where the coefficient matrix in a lower triangular complex dense matrix and the constant vector is a complex dense vector.
ComplexHess	Computes the Hessenburg decomposition of a complex dense square matrix.
ComplexLstsqSolver	This class solves a linear system of equations Ax=b in a least-squares sense.
ComplexLU	This class provides methods for computing the LU decomposition of a complex dense matrix.
ComplexMatrixMixin<T>	This interface specifies methods which any complex matrix should implement.
ComplexOperations	This class provides low level methods for computing operations on real tensors.
ComplexProperties	This class contains low-level implementations for operations which check if a complex tensor satisfies some property.
ComplexQR	Instances of this class compute the QR decomposition of a complex dense matrix.
ComplexSchur	This class computes the Schur decomposition of a complex dense square matrix.
ComplexSparseElementSearch
ComplexSparseEquals	This class contains low-level implementations to check if a pair of complex sparse tensors/matrices/vectors are element-wise equivalent.
ComplexSparseMatrixGetSet	This class contains methods for getting/setting elements and slices from/to a complex sparse matrix.
ComplexSparseMatrixManipulations	This class contains implementations for complex sparse matrix manipulations.
ComplexSparseMatrixMultiplication	This class contains low level methods for computing the matrix multiplication of sparse complex matrices/vectors. WARNING: The methods in this class do not perform any sanity checks.
ComplexSparseMatrixOperations	This class has low level implementations for operations between two complex sparse matrices.
ComplexSparseMatrixProperties	This class contains low level implementations for methods to evaluate certain properties of a complex sparse matrix.
ComplexSparseNorms	This class contains low level implementations of norms for complex sparse tensors, matrices and vector.
ComplexSparseTensorBase<T,U,Y>	This abstract class is the base class of all complex sparse tensors.
ComplexSparseVectorOperations	This class contains low level implementations of operations on two complex sparse tensors.
ComplexSVD	Instances of this class can be used to compute the singular value decomposition (SVD) of a real dense matrix.
ComplexTensorExclusiveMixin<T>	This class specifies methods which any complex tensor that is NOT a matrix or vector should implement.
ComplexTensorMixin<T,Y>	This interface specifies methods which any complex tensor should implement.
ComplexUnitaryDecomposition	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.
Condition	Utility class for computing the condition number of a matrix.
Configurations	Configurations for standard and concurrent operations.
CooCMatrix	A Complex sparse matrix.
CooCTensor	Complex sparse tensor.
CooCVector	Complex sparse vector.
CooMatrix	Real sparse matrix.
CooTensor	Real sparse tensor.
CooVector	Real sparse vector stored in coordinate (COO) format.
CsrCMatrix	Complex sparse matrix stored in compressed sparse row (CSR) format.
CsrMatrix	Real sparse matrix stored in compressed sparse row (CSR) format.
CTensor	Complex dense tensor.
CVector	Complex dense vector.
Decomposition<T>	This interface specifies methods which should be implemented in all decompositions.
DecompositionFactory	A factory class for creating decomposers to perform various matrix decompositions.
DenseMatrixMixin<T,X>	This interface specifies methods which all dense matrices should implement.
DenseMixin<X>	Interface which specifies methods that any dense vector, matrix, or tensor should implement.
DenseTensorBase<T,W,Y,D,X>	This is the base class for all dense tensors.
DenseTensorMixin	This interface specifies methods which should be implemented by all dense tensors.
DenseVectorMixin	Interface which specifies methods which any dense vector should implement.
DirectSum	Utility class for computing the direct sum between two matrices.
Eigen	This class provides several methods useful for computing eigenvalues and eigenvectors.
ErrorMessages	Contains error messages for common errors which may occur.
ExactSolver<T,U>	Solves a well determined system of equations Ax=b in an exact sense by using a LU decomposition.
ExactTensorSolver<T,U,V>	Solves a well determined system of equations A*X=B in an exact sense where A, X, and B are tensors.
Flag4jConstants	A simple utility class containing useful constants.
ForwardSolver<T,U,V>	This solver solves linear systems of equations where the coefficient matrix in a lower triangular real dense matrix and the constant vector is a real dense vector.
Givens	This class contains methods for computing real or complex Givens' rotation matrices.
Householder	This class contains methods for computing real or complex Householder reflectors (also known as elementary reflectors).
Invert	This class provides methods for computing the inverse of a matrix.
LinearAlgebraException	An exception which is thrown when a linear algebra related error occurs at runtime.
LinearSolver<T,U>	This interface specifies methods which all linear system solvers should implement.
LinearTensorSolver<T>	This interface specifies methods which all linear tensor system solvers should implement.
LstsqSolver<T,U>	This class solves a linear system of equations Ax=b in a least-squares sense.
LU<T>	This abstract class specifies methods for computing the LU decomposition of a matrix.
LU.Pivoting	Simple enum containing pivoting options for pivoting in LU decomposition.
Matrix	Real dense matrix.
MatrixComparisonsMixin<T>	This interface specifies comparisons which all matrices should implement.
MatrixManipulationsMixin<T,X>	This interface specifies manipulations which all matrices should implement.
MatrixMixin<T,U,V,W,VV,X,TT,UU>	This interface specified methods which all matrices should implement.
MatrixMultiplyDispatcher	Dispatches matrix multiplication to the appropriate algorithm based on the size of the matrices to be multiplied.
MatrixMultiplyDispatcher.AlgorithmName	Simple enum class containing all possible choices of matrix multiply algorithms.
MatrixNorms	Utility class for computing norms of matrices.
MatrixOperationsMixin<T,U,V,W,Y,X,TT,UU>	This interface specifies operations which should be implemented by any matrix (rank 2 tensor).
MatrixPropertiesMixin	This interface specifies methods which provide properties of a matrix.
ParameterChecks	This class contains several methods for checking properties of shapes and arrays.
PermutationMatrix	A permutation matrix is a square matrix containing only zeros and ones such that each row and column have exactly a single one.
PositiveDefiniteness	This class contains several methods for determining the positive definiteness of a matrix.
PrintOptions	Print options for matrices and vectors
Projection	This class contains methods usefully for computing projection transformation matrices.
RandomArray	This class contains methods useful for generating arrays filled with random values.
RandomCNumber	An instance of this class is used to generate a stream of random complex numbers.
RandomTensor	An instance of this class is used for generating streams of pseudorandom tensors, matrices, and vectors.
RealBackSolver	This solver solves linear systems of equations where the coefficient matrix in an upper triangular real dense matrix and the constant vector is a real dense vector or matrix.
RealCholesky	An instance of this class allows for the computation of a Cholesky decomposition for a real dense matrix.
RealComplexCooTensorOperations	Utility class for computing operations between a complex sparse COO tensor and a real coo tensor.
RealComplexCsrDenseMatrixMultiplication	This class contains low-level implementations of real-complex sparse-dense matrix multiplication where the sparse matrix is in CSR format.
RealComplexCsrDenseOperations	This class contains low-level operations which act on a real/complex dense and a complex/real sparse CSR matrix.
RealComplexCsrMatrixMultiplication	This class provides low-level implementation of matrix multiplication between a real CSR matrix and a complex CSR matrix.
RealComplexCsrOperations	This class contains low-level implementations for element-wise operations on real/complex CSR matrices.
RealComplexDenseElemDiv	This class contains low-level implementations of element-wise tensor division for a real dense and complex dense tensor.
RealComplexDenseElemMult	This class contains low-level implementations of element-wise tensor multiplication for a real dense and complex dense tensor.
RealComplexDenseEquals	This class provides methods for checking the equality of one real and one complex dense tensors.
RealComplexDenseMatrixMultiplication	This class contains several low level methods for computing real/complex matrix-matrix multiplications.
RealComplexDenseMatrixMultTranspose	This class contains several low level methods for computing matrix-matrix multiplications with a transpose for a real dense matrix and a complex dense matrix.
RealComplexDenseOperations	This class provides low level methods for computing operations with at least one real tensor and at least one complex tensor.
RealComplexDenseSparseEquals	This class contains methods for checking the equality of real dense/sparse and complex dense/sparse tensors.
RealComplexDenseSparseMatrixMultiplication	This class contains low level methods for computing the matrix multiplication (and matrix vector multiplication) between a real dense/sparse matrix and a real sparse/dense matrix or vector.
RealComplexDenseSparseMatrixMultTranspose	This class contains several low level methods for computing matrix-matrix multiplications with a transpose for a real/complex sparse/dense WARNING: These methods do not perform any sanity checks.
RealComplexDenseSparseMatrixOperations	This class contains low level implementations of operations between real/complex and dense/sparse matrices.
RealComplexDenseSparseOperations	This class contains methods to apply common binary operations to a real/complex dense matrix and to a complex/real sparse matrix.
RealComplexDenseSparseVectorOperations	This class provides low level methods for computing operations between a real/complex dense/sparse vector and a complex/real sparse/dense vector.
RealComplexDenseVectorOperations	This class provides low level implementations for vector operations with a real/complex dense vector and a complex/real dense vector.
RealComplexSparseEquals	This class contains methods for checking the equality of real/complex sparse tensors.
RealComplexSparseMatrixMultiplication	This class contains low level methods for computing the multiplication between a real/complex matrix and a complex/real matrix/vector.
RealComplexSparseMatrixOperations	This class has low level implementations for operations between a real sparse matrix and a complex sparse matrix.
RealComplexSparseVectorOperations	This class contains low level implementations of operations on a real sparse tensor and a complex sparse tensor.
RealCooTensorDot	Utility class for computing tensor dot products between two real sparse COO tensors.
RealCooTensorOperations	Utility class for computing operations between two real sparse COO tensors.
RealCsrConcats	Utility class for concatenating real CSR matrices
RealCsrDenseMatrixMultiplication	This class contains low-level implementations of real sparse-dense matrix multiplication where the sparse matrix is in CSR format.
RealCsrDenseOperations	This class contains low-level operations which act on a real dense and a real sparse CSR matrix.
RealCsrEquals	This class contains methods to check equality or approximate equality between two sparse CSR matrices.
RealCsrManipulations	Utility class for manipulating real sparse CSR matrices (e.g.
RealCsrMatrixMultiplication	This class provides low-level implementation of matrix multiplication between two real CSR matrices.
RealCsrOperations	This class contains low-level implementations for element-wise operations on CSR matrices.
RealCsrProperties	This class contains low-level implementations for determining certain properties of real sparse CSR matrices.
RealDenseDeterminant	This class contains methods for computing the determinant of a real dense matrix.
RealDenseElemDiv	This class contains low level implementations of element-wise division algorithms for real dense tensors.
RealDenseElemMult	This class contains low level implementations of element-wise multiplications algorithms for real dense tensors.
RealDenseEquals	This class provides methods for checking the equality of real dense tensors.
RealDenseMatrixMultiplication	This class contains several low level methods for computing matrix-matrix multiplications.
RealDenseMatrixMultiplyDispatcher	Singleton class which stores a map of all viable real dense matrix multiply algorithms and uses that map to dispatch a real dense matrix multiply problem to the appropriate algorithm.
RealDenseMatrixMultiplyDispatcher.AlgorithmNames	Simple enum class containing all possible choices of real dense matrix multiply algorithms.
RealDenseMatrixMultTranspose	This class contains several low level methods for computing matrix-matrix multiplications with a transpose for two real dense matrices.
RealDenseOperations	This class provides low level methods for computing operations on real dense tensors.
RealDenseProperties	This class contains low-level implementations for operations which check if a tensor satisfies some property.
RealDenseSetOperations	This class contains low-level implementations of setting operations for real dense tensors.
RealDenseSparseEquals	This class contains methods for checking the equality of a real dense and real sparse tensors.
RealDenseSparseMatrixMultiplication	This class contains low level methods for computing the matrix multiplication (and matrix vector multiplication) between a real dense/sparse matrix and a real sparse/dense matrix or vector.
RealDenseSparseMatrixMultTranspose	This class contains several low level methods for computing matrix-matrix multiplications with a transpose for a real dense matrix and a real sparse matrix.
RealDenseSparseMatrixOperations	This class contains low-level operations between a real dense and real sparse matrix.
RealDenseSparseTensorOperations	This class contains methods to apply common binary operations to a real dense matrix and to a real sparse matrix.
RealDenseSparseVectorOperations	This class provides low level methods for computing operations between a real dense/sparse vector and a real sparse/dense vector.
RealDenseTensorBase<T,W>	The base class for all real dense tensors.
RealDenseTensorBinaryOperation	Functional interface for creating a lambda which implements an operation acting on two real dense tensors.
RealDenseTensorDot	This class contains methods for computing a tensor dot product, i.e.
RealDenseTranspose	This class contains several low-level algorithms for computing the transpose of real dense tensors.
RealDenseVectorOperations	This class provides low level implementations for several vector operation.
RealExactSolver	Solver for solving a well determined system of linear equations in an exact sense using the LU decomposition.
RealExactTensorSolver	Solver for solving a real well determined linear tensor equation A*X=B in an exact sense.
RealForwardSolver	This solver solves linear systems of equations where the coefficient matrix in a lower triangular real dense matrix and the constant vector is a real dense vector.
RealHess	Computes the Hessenburg decomposition of a real dense square matrix.
RealLstsqSolver	This class solves a linear system of equations Ax=b in a least-squares sense.
RealLU	This class provides methods for computing the LU decomposition of a real dense matrix.
RealMatrixMixin<T,W>	This interface specifies methods which all real matrices should implement.
RealOperations	This class provides low level methods for computing operations on real tensors.
RealProperties	This class provides low level methods for checking tensor properties.
RealQR	Instances of this class compute the QR decomposition of a real dense matrix.
RealSchur	This class computes the Schur decomposition of a real dense square matrix.
RealSparseEquals	This class contains methods for checking the equality of real sparse tensors.
RealSparseManipulations	This utility class provides methods for inserting/removing values in a real sparse vector.
RealSparseMatrixGetSet	This class provides methods for getting and setting elements and slices from/to a real sparse matrix.
RealSparseMatrixManipulations	This class contains implementations for real sparse matrix manipulations.
RealSparseMatrixMultiplication	This class contains low level implementations of matrix multiplication for real sparse matrices.
RealSparseMatrixOperations	This class has low level implementations for operations between two real sparse matrices.
RealSparseMatrixProperties	This class contains low level implementations for methods to evaluate certain properties of a real sparse matrix.
RealSparseNorms	This class contains low level implementations of norms for tensors, matrices and vector.
RealSparseTensorBase<T,U,W,Z>	Base class for all sparse tensor.
RealSparseVectorOperations	This class contains low level implementations of operations on two real sparse tensors.
RealSVD	Instances of this class can be used to compute the singular value decomposition (SVD) of a real dense matrix.
RealTensorMixin<T,W>	This interface specifies methods which all real tensors should implement.
RealUnitaryDecomposition	This class is the base class for real matrix decompositions which proceed by using unitary/orthogonal transformations (specifically Householder reflectors) to bring a matrix into an upper triangular/Hessenburg matrix.
RowEchelon	This class contains several methods for computing row echelon, reduced row echelon, and extended reduced row echelon forms of a matrix.
Schur<T,U>	The base class for Schur decompositions.
Shape	An object to store the shape of a tensor.
SingularMatrixException	An exception which is thrown when some operation not defined for singular matrices is attempted to be performed on a singular matrix.
SparseDataWrapper<T>	A wrapper to wrap the entries and indices from a sparse tensor, vector, or matrix.
SparseElementSearch	This class provides methods for efficiently finding if a sparse vector, matrix, or tensor contains a non-zero item at a specified index.
SparseTensorBase<T,U,W,Z,Y,D,X>	The base class for all sparse tensors.
SparseTensorMixin	This interface specifies methods which all sparse tensor, matrices, and vectors should implement.
SparseUtils	Utility class for computations with sparse tensor, matrices, and vectors.
SparseUtils	Contains common utility functions for working with sparse matrices.
StringUtils	A class which provides simple utility methods for strings.
SubSpace	This class contains several methods for computing the subspace of a matrix.
SVD<T>	This abstract class specifies methods for computing the singular value decomposition (SVD) of a matrix.
SymmHess	Computes the Hessenburg decomposition of a real dense symmetric matrix.
SymmTriDiagonal	A real symmetric tri-diagonal matrix.
Tensor	Real Dense Tensor.
TensorBase<T,U,W,Z,Y,D,X>	The base class for all tensors.
TensorComparisonsMixin	This interface specifies comparisons which all tensors (i.e.
TensorEquals	Utility class for determining if arbitrary pairs of tensors are equal.
TensorExclusiveMixin<T,U,V,W>	This interface contains several methods which should be implemented by all tensors which are NOT a matrix or vector.
TensorInputStream	A TensorInputStream obtains bytes from a system file using a FileInputStream containing a serialized tensor, matrix, or vector.
TensorInvert	This class provides methods for computing the 'inverse' of a tensor with respect to some tensor dot product operation.
TensorManipulationsMixin<T>	This interface specifies manipulations which all tensors (i.e.
TensorNorms	Utility class for computing "norms" of tensors.
TensorOperation	Functional interface for general tensor operation.
TensorOperationsMixin<T,U,W,Z,Y,X>	This interface specifies operations which all tensors (i.e.
TensorOutputStream	A class for writing tensors to a file in various formats.
TensorPropertiesMixin	This interface specifies methods which provide properties of a tensor.
TensorReader	The TensorReader class provides several static methods for reading serialized tensors, matrices, and vectors from a file.
TensorShapeException
TensorWriter	The TensorWriter class provides several static methods for writing serialized tensors, matrices, and vectors to a file.
ThreadManager	This class contains the base thread pool for all concurrent operations and several methods for managing the pool.
ThreadManager.TriConsumer<T,U,V>
TransposeDispatcher	Provides a dispatch method for dynamically choosing the best matrix transpose algorithm.
TransposeDispatcher.Algorithm	Simple enum class containing available algorithms for computing a matrix transpose.
UnitaryDecomposition<T,U>	This class is the base class for all decompositions which proceed by using unitary transformations (specifically Householder reflectors) to bring a matrix into an upper triangular matrix or an upper Hessenburg matrix.
Vector	Real dense vector.
VectorComparisonsMixin	This interface specifies comparisons which all vectors should implement.
VectorManipulationsMixin<TT>	This interface specifies manipulations which all vectors should implement.
VectorMixin<T,U,V,W,X,TT,UU,WW>	This interface specifies methods which all vectors should implement.
VectorNorms	Utility class for computing norms of vectors.
VectorOperationsMixin<T,U,V,W,X,TT,UU,WW>	This interface specifies operations which should be implemented by any vector.
VectorPropertiesMixin	This interface specifies methods which provide properties of a vector.
View	Utility class for generating view matrices.