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, class Distribution = typename std::conditional< (is_same_v<type_t<matrix_t>, float> || is_same_v<type_t<matrix_t>, double> || is_same_v<type_t<matrix_t>, long double>), std::normal_distribution<type_t<matrix_t>>, std::normal_distribution<double>>::type>
void	randn (matrix_t &A)
	Generate a random dense matrix based on a normal distribution.
template<TLAPACK_UPLO uplo_t, TLAPACK_MATRIX matrix_t, class Distribution = typename std::conditional< (is_same_v<type_t<matrix_t>, float> || is_same_v<type_t<matrix_t>, double> || is_same_v<type_t<matrix_t>, long double>), std::normal_distribution<type_t<matrix_t>>, std::normal_distribution<double>>::type>
void	randn (uplo_t uplo, matrix_t &A)
	Generate an upper- or lower-triangular random 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
PCG32	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.

randn() [1/2]

template<TLAPACK_MATRIX matrix_t, class Distribution = typename std::conditional< (is_same_v<type_t<matrix_t>, float> || is_same_v<type_t<matrix_t>, double> || is_same_v<type_t<matrix_t>, long double>), std::normal_distribution<type_t<matrix_t>>, std::normal_distribution<double>>::type>

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

inline

Generate a random dense matrix based on a normal distribution.

Parameters

[out]

A

Matrix.

randn() [2/2]

template<TLAPACK_UPLO uplo_t, TLAPACK_MATRIX matrix_t, class Distribution = typename std::conditional< (is_same_v<type_t<matrix_t>, float> || is_same_v<type_t<matrix_t>, double> || is_same_v<type_t<matrix_t>, long double>), std::normal_distribution<type_t<matrix_t>>, std::normal_distribution<double>>::type>

void tlapack::MatrixMarket::randn ( 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.

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