tlapack::MatrixMarket Struct Reference

MatrixMarket class. More...

#include <MatrixMarket.hpp>

Collaboration diagram for tlapack::MatrixMarket:

Public Member Functions
template<TLAPACK_MATRIX matrix_t>
void	colmajor_read (matrix_t &A, std::istream &is) const
	Read a dense matrix from an input stream (file, stdin, etc).
template<TLAPACK_MATRIX matrix_t>
void	hessenberg (matrix_t &A)
	Generate a random upper Hessenberg matrix.
template<TLAPACK_MATRIX matrix_t>
void	hilbert (matrix_t &A) const
	Generate a Hilbert matrix.
template<TLAPACK_MATRIX matrix_t>
void	random (matrix_t &A)
	Generate a random dense matrix.
template<TLAPACK_UPLO uplo_t, TLAPACK_MATRIX matrix_t>
void	random (uplo_t uplo, matrix_t &A)
	Generate an upper- or lower-triangular random matrix.
template<TLAPACK_MATRIX matrix_t>
void	single_value (matrix_t &A, const type_t< matrix_t > &val) const
	Generate a matrix with a single value in all entries.
template<TLAPACK_UPLO uplo_t, TLAPACK_MATRIX matrix_t>
void	single_value (uplo_t uplo, matrix_t &A, const type_t< matrix_t > &val) const
	Generate an upper- or lower-triangular matrix with a single value in all entries.

Public Attributes
rand_generator	gen

Detailed Description

MatrixMarket class.

This class provides methods to read matrices from files and to generate random or structured matrices.

Member Function Documentation

colmajor_read()

template<TLAPACK_MATRIX matrix_t>

void tlapack::MatrixMarket::colmajor_read ( matrix_t &  A, std::istream &  is  ) const

inline

Read a dense matrix from an input stream (file, stdin, etc).

The data is read in column-major format.

Parameters

[out]	A	Matrix.
[in,out]	is	Input stream.

hessenberg()

template<TLAPACK_MATRIX matrix_t>

void tlapack::MatrixMarket::hessenberg ( matrix_t &  A )

inline

Generate a random upper Hessenberg matrix.

Put a single garbage value float(0xFA57C0DE) below the first subdiagonal.

Parameters

[out]

A

Matrix.

hilbert()

template<TLAPACK_MATRIX matrix_t>

void tlapack::MatrixMarket::hilbert ( matrix_t &  A ) const

inline

Generate a Hilbert matrix.

The Hilbert matrix is defined as:

\[ A_{ij} = \frac{1}{i + j + 1} \]

Parameters

[out]

A

Matrix.

random() [1/2]

template<TLAPACK_MATRIX matrix_t>

void tlapack::MatrixMarket::random ( matrix_t &  A )

inline

Generate a random dense matrix.

Parameters

[out]

A

Matrix.

random() [2/2]

template<TLAPACK_UPLO uplo_t, TLAPACK_MATRIX matrix_t>

void tlapack::MatrixMarket::random ( uplo_t  uplo, matrix_t &  A  )

inline

Generate an upper- or lower-triangular random matrix.

Put a single garbage value float(0xCAFEBABE) in the opposite triangle.

Parameters

[in]	uplo	Upper or lower triangular.
[out]	A	Matrix.

single_value() [1/2]

template<TLAPACK_MATRIX matrix_t>

void tlapack::MatrixMarket::single_value ( matrix_t &  A, const type_t< matrix_t > &  val  ) const

inline

Generate a matrix with a single value in all entries.

Parameters

[out]	A	Matrix.
[in]	val	Value.

single_value() [2/2]

template<TLAPACK_UPLO uplo_t, TLAPACK_MATRIX matrix_t>

void tlapack::MatrixMarket::single_value ( uplo_t  uplo, matrix_t &  A, const type_t< matrix_t > &  val  ) const

inline

Generate an upper- or lower-triangular matrix with a single value in all entries.

Put a single garbage value float(0xCAFEBABE) in the opposite triangle.

Parameters

[in]	uplo	Upper or lower triangular.
[out]	A	Matrix.
[in]	val	Value.

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The documentation for this struct was generated from the following file:

• /home/runner/work/tlapack/tlapack/test/include/MatrixMarket.hpp