Set matrix elements

Functions
template<typename scalar_t >
void	slate::scale (blas::real_type< scalar_t > numer, blas::real_type< scalar_t > denom, Matrix< scalar_t > &A, Options const &opts)
	Scale matrix entries by the real scalar numer/denom.
template<typename scalar_t >
void	slate::scale (blas::real_type< scalar_t > numer, blas::real_type< scalar_t > denom, BaseTrapezoidMatrix< scalar_t > &A, Options const &opts)
	Scale matrix entries by the real scalar numer/denom.
template<typename scalar_t >
void	slate::set (scalar_t offdiag_value, scalar_t diag_value, Matrix< scalar_t > &A, Options const &opts)
	Set matrix entries.
template<typename scalar_t >
void	slate::set (scalar_t offdiag_value, scalar_t diag_value, BaseTrapezoidMatrix< scalar_t > &A, Options const &opts)
	Set matrix entries.
template<typename scalar_t >
void	slate::set (std::function< scalar_t(int64_t i, int64_t j) > const &value, Matrix< scalar_t > &A, Options const &opts)
	Set matrix entries.
template<typename scalar_t >
void	slate::set (std::function< scalar_t(int64_t i, int64_t j) > const &value, BaseTrapezoidMatrix< scalar_t > &A, Options const &opts)
	Set matrix entries.

Detailed Description

Function Documentation

scale() [1/2]

template<typename scalar_t >

void slate::scale	(	blas::real_type< scalar_t >	numer,
		blas::real_type< scalar_t >	denom,
		BaseTrapezoidMatrix< scalar_t > &	A,
		Options const &	opts
	)

Scale matrix entries by the real scalar numer/denom.

Transposition is currently ignored. TODO: Inspect transposition?

Template Parameters

scalar_t

One of float, double, std::complex<float>, std::complex<double>.

Parameters

[in]	A	The m-by-n matrix A.
[in]	opts	Additional options, as map of name = value pairs. Possible options: Option::Target: Implementation to target. Possible values: HostTask: OpenMP tasks on CPU host [default]. HostNest: nested OpenMP parallel for loop on CPU host. HostBatch: batched BLAS on CPU host. Devices: batched BLAS on GPU device.

scale() [2/2]

template<typename scalar_t >

void slate::scale	(	blas::real_type< scalar_t >	numer,
		blas::real_type< scalar_t >	denom,
		Matrix< scalar_t > &	A,
		Options const &	opts
	)

Scale matrix entries by the real scalar numer/denom.

Transposition is currently ignored. TODO: Inspect transposition?

Template Parameters

scalar_t

One of float, double, std::complex<float>, std::complex<double>.

Parameters

[in]	A	The m-by-n matrix A.
[in]	opts	Additional options, as map of name = value pairs. Possible options: Option::Target: Implementation to target. Possible values: HostTask: OpenMP tasks on CPU host [default]. HostNest: nested OpenMP parallel for loop on CPU host. HostBatch: batched BLAS on CPU host. Devices: batched BLAS on GPU device.

set() [1/4]

template<typename scalar_t >

void slate::set	(	scalar_t	offdiag_value,
		scalar_t	diag_value,
		BaseTrapezoidMatrix< scalar_t > &	A,
		Options const &	opts
	)

Set matrix entries.

Transposition is currently ignored. TODO: Inspect transposition?

Template Parameters

scalar_t

One of float, double, std::complex<float>, std::complex<double>.

Parameters

[in]	offdiag_value	Value to set off-diagonal elements to.
[in]	diag_value	Value to set diagonal elements to.
[in,out]	A	The m-by-n matrix A.
[in]	opts	Additional options, as map of name = value pairs. Possible options: Option::Target: Implementation to target. Possible values: HostTask: OpenMP tasks on CPU host [default]. HostNest: nested OpenMP parallel for loop on CPU host. HostBatch: batched BLAS on CPU host. Devices: batched BLAS on GPU device.

set() [2/4]

template<typename scalar_t >

void slate::set	(	scalar_t	offdiag_value,
		scalar_t	diag_value,
		Matrix< scalar_t > &	A,
		Options const &	opts
	)

Set matrix entries.

Transposition is currently ignored. TODO: Inspect transposition?

Template Parameters

scalar_t

One of float, double, std::complex<float>, std::complex<double>.

Parameters

[in]	offdiag_value	Value to set off-diagonal elements to.
[in]	diag_value	Value to set diagonal elements to.
[in,out]	A	The m-by-n matrix A.
[in]	opts	Additional options, as map of name = value pairs. Possible options: Option::Target: Implementation to target. Possible values: HostTask: OpenMP tasks on CPU host [default]. HostNest: nested OpenMP parallel for loop on CPU host. HostBatch: batched BLAS on CPU host. Devices: batched BLAS on GPU device.

set() [3/4]

template<typename scalar_t >

void slate::set	(	std::function< scalar_t(int64_t i, int64_t j) > const &	value,
		BaseTrapezoidMatrix< scalar_t > &	A,
		Options const &	opts
	)

Set matrix entries.

Transposition is automatically handled.

Template Parameters

scalar_t

One of float, double, std::complex<float>, std::complex<double>.

Parameters

[in]	value	A function that takes global row and column indices i and j, and returns the scalar value for entry Aij.
[in,out]	A	The m-by-n matrix A.
[in]	opts	Additional options, as map of name = value pairs. Currently no options. It always uses Target = HostTask, since lambda is a CPU function.

set() [4/4]

template<typename scalar_t >

void slate::set	(	std::function< scalar_t(int64_t i, int64_t j) > const &	value,
		Matrix< scalar_t > &	A,
		Options const &	opts
	)

Set matrix entries.

Transposition is automatically handled.

Template Parameters

scalar_t

One of float, double, std::complex<float>, std::complex<double>.

Parameters

[in]	value	A function that takes global row and column indices i and j, and returns the scalar value for entry Aij.
[in,out]	A	The m-by-n matrix A.
[in]	opts	Additional options, as map of name = value pairs. Currently no options. It always uses Target = HostTask, since lambda is a CPU function.