#include <DenseSerialMatrixOperations.h>

Inheritance diagram for AMP::LinearAlgebra::DenseSerialMatrixOperations:

Public Member Functions
virtual void	copyCast (const MatrixData &x, MatrixData &y)
	Set this matrix with the same non-zero and distributed structure as x and copy the coefficients after up/down casting.

uint64_t	getID () const
	Get a unique id hash for the vector operation.

virtual void	registerChildObjects (AMP::IO::RestartManager *manager) const
	Register any child objects.

virtual std::string	type () const
	Return the type of the matrix operations class.

virtual void	writeRestart (int64_t fid) const
	Write restart data to file.

Protected Attributes
uint64_t	d_hash = 0
	unique hash for object

Private Member Functions
void	axpy (AMP::Scalar alpha, const MatrixData &X, MatrixData &Y) override
	Compute the linear combination of two matrices.

void	copy (const MatrixData &x, MatrixData &y) override
	Set this matrix with the same non-zero and distributed structure as x and copy the coefficients.

void	extractDiagonal (MatrixData const &A, std::shared_ptr< Vector > buf) override
	Extract the diagonal values into a vector.

void	getRowSums (MatrixData const &, std::shared_ptr< Vector >) override
	Extract the row sums into a vector.

void	getRowSumsAbsolute (MatrixData const &, std::shared_ptr< Vector >, const bool) override
	Extract the absolute row sums into a vector.

AMP::Scalar	LinfNorm (const MatrixData &X) const override
	Compute the maximum row sum.

void	matMatMult (std::shared_ptr< MatrixData > A, std::shared_ptr< MatrixData > B, std::shared_ptr< MatrixData > C) override
	Compute the product of two matrices.

void	mult (std::shared_ptr< const Vector > x, MatrixData const &A, std::shared_ptr< Vector > y) override
	Matrix-vector multiplication.

void	multTranspose (std::shared_ptr< const Vector > in, MatrixData const &A, std::shared_ptr< Vector > out) override
	Matrix transpose-vector multiplication.

void	scale (AMP::Scalar alpha, MatrixData &A) override
	Scale the matrix by a scalar.

void	scale (AMP::Scalar, std::shared_ptr< const Vector >, MatrixData &) override
	Scale the matrix by a scalar and diagonal matrix.

void	scaleInv (AMP::Scalar, std::shared_ptr< const Vector >, MatrixData &) override
	Scale the matrix by a scalar and inverse of diagonal matrix.

void	setDiagonal (std::shared_ptr< const Vector > in, MatrixData &A) override
	Set the diagonal to the values in a vector.

void	setIdentity (MatrixData &A) override
	Set the matrix to the identity matrix.

void	setScalar (AMP::Scalar alpha, MatrixData &A) override
	Set the non-zeros of the matrix to a scalar.

void	zero (MatrixData &A) override
	Set the non-zeros of the matrix to zero.

Detailed Description

Definition at line 8 of file DenseSerialMatrixOperations.h.

Member Function Documentation

◆ axpy()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::axpy	(	AMP::Scalar	alpha,
		const MatrixData &	X,
		MatrixData &	Y
	)

overrideprivatevirtual

Compute the linear combination of two matrices.

Parameters

[in]	alpha	scalar
[in]	X	matrix
[out]	Y	The output matrix

Compute \(\mathbf{THIS} = \alpha\mathbf{X} + \mathbf{THIS}\)

Implements AMP::LinearAlgebra::MatrixOperations.

◆ copy()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::copy	(	const MatrixData &	x,
		MatrixData &	y
	)

overrideprivatevirtual

Set this matrix with the same non-zero and distributed structure as x and copy the coefficients.

Parameters

[in]	x	matrix data to copy from
[in]	y	matrix data to copy to

Implements AMP::LinearAlgebra::MatrixOperations.

◆ copyCast()

virtual void AMP::LinearAlgebra::MatrixOperations::copyCast	(	const MatrixData &	x,
		MatrixData &	y
	)

virtualinherited

Set this matrix with the same non-zero and distributed structure as x and copy the coefficients after up/down casting.

Parameters

[in]	x	matrix data to copy from
[in]	y	matrix data to copy to after up/down casting the coefficients

Reimplemented in AMP::LinearAlgebra::CSRMatrixOperationsDefault< Config >, and AMP::LinearAlgebra::CSRMatrixOperationsDevice< Config >.

◆ extractDiagonal()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::extractDiagonal	(	MatrixData const &	A,
		std::shared_ptr< Vector >	buf
	)

overrideprivatevirtual

Extract the diagonal values into a vector.

Parameters

[in]	A	The matrix to read from
[out]	buf	Buffer to write row sums into

Implements AMP::LinearAlgebra::MatrixOperations.

◆ getID()

uint64_t AMP::LinearAlgebra::MatrixOperations::getID ( ) const

inherited

Get a unique id hash for the vector operation.

◆ getRowSums()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::getRowSums	(	MatrixData const &	,
		std::shared_ptr< Vector >
	)

overrideprivatevirtual

Extract the row sums into a vector.

Reimplemented from AMP::LinearAlgebra::MatrixOperations.

◆ getRowSumsAbsolute()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::getRowSumsAbsolute	(	MatrixData const &	,
		std::shared_ptr< Vector >	,
		const bool
	)

overrideprivatevirtual

Extract the absolute row sums into a vector.

Reimplemented from AMP::LinearAlgebra::MatrixOperations.

◆ LinfNorm()

AMP::Scalar AMP::LinearAlgebra::DenseSerialMatrixOperations::LinfNorm ( const MatrixData & X ) const

overrideprivatevirtual

Compute the maximum row sum.

Returns: The L-infinity norm of the matrix

Parameters

[in] X Data for the input matrix

Implements AMP::LinearAlgebra::MatrixOperations.

◆ matMatMult()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::matMatMult	(	std::shared_ptr< MatrixData >	A,
		std::shared_ptr< MatrixData >	B,
		std::shared_ptr< MatrixData >	C
	)

overrideprivatevirtual

Compute the product of two matrices.

Parameters

[in]	A	A multiplicand
[in]	B	A multiplicand
[in]	C	The product \(\mathbf{AB}\).

Implements AMP::LinearAlgebra::MatrixOperations.

◆ mult()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::mult	(	std::shared_ptr< const Vector >	x,
		MatrixData const &	A,
		std::shared_ptr< Vector >	y
	)

overrideprivatevirtual

Matrix-vector multiplication.

Parameters

[in]	x	The vector to multiply
[in]	A	The input matrix A
[out]	y	The resulting vectory

Compute \(\mathbf{Ax} = \mathbf{y}\).

Implements AMP::LinearAlgebra::MatrixOperations.

◆ multTranspose()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::multTranspose	(	std::shared_ptr< const Vector >	in,
		MatrixData const &	A,
		std::shared_ptr< Vector >	out
	)

overrideprivatevirtual

Matrix transpose-vector multiplication.

Parameters

[in]	in	The vector to multiply
[in]	A	The input matrix A
[out]	out	The resulting vectory

Compute \(\mathbf{A}^T\mathbf{in} = \mathbf{out}\).

Implements AMP::LinearAlgebra::MatrixOperations.

◆ registerChildObjects()

virtual void AMP::LinearAlgebra::MatrixOperations::registerChildObjects ( AMP::IO::RestartManager * manager ) const

virtualinherited

Register any child objects.

This function will register child objects with the manager

Parameters

manager Restart manager

◆ scale() [1/2]

void AMP::LinearAlgebra::DenseSerialMatrixOperations::scale	(	AMP::Scalar	alpha,
		MatrixData &	A
	)

overrideprivatevirtual

Scale the matrix by a scalar.

Parameters

[in]	alpha	The value to scale by
[in,out]	A	The matrix A

Compute \(\mathbf{A} = \alpha\mathbf{A}\)

Implements AMP::LinearAlgebra::MatrixOperations.

◆ scale() [2/2]

void AMP::LinearAlgebra::DenseSerialMatrixOperations::scale	(	AMP::Scalar	,
		std::shared_ptr< const Vector >	,
		MatrixData &
	)

overrideprivatevirtual

Scale the matrix by a scalar and diagonal matrix.

Implements AMP::LinearAlgebra::MatrixOperations.

◆ scaleInv()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::scaleInv	(	AMP::Scalar	,
		std::shared_ptr< const Vector >	,
		MatrixData &
	)

overrideprivatevirtual

Scale the matrix by a scalar and inverse of diagonal matrix.

Implements AMP::LinearAlgebra::MatrixOperations.

◆ setDiagonal()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::setDiagonal	(	std::shared_ptr< const Vector >	in,
		MatrixData &	A
	)

overrideprivatevirtual

Set the diagonal to the values in a vector.

Parameters

[in]	in	The values to set the diagonal to
[out]	A	The matrix to set

Implements AMP::LinearAlgebra::MatrixOperations.

◆ setIdentity()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::setIdentity ( MatrixData & A )

overrideprivatevirtual

Set the matrix to the identity matrix.

Parameters

[out] A The matrix to set

Implements AMP::LinearAlgebra::MatrixOperations.

◆ setScalar()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::setScalar	(	AMP::Scalar	alpha,
		MatrixData &	A
	)

overrideprivatevirtual

Set the non-zeros of the matrix to a scalar.

Parameters

[in]	alpha	The value to set the non-zeros to
[out]	A	The input matrix A

Implements AMP::LinearAlgebra::MatrixOperations.

◆ type()

virtual std::string AMP::LinearAlgebra::MatrixOperations::type ( ) const

inlinevirtualinherited

Return the type of the matrix operations class.

Reimplemented in AMP::LinearAlgebra::CSRMatrixOperationsDefault< Config >, and AMP::LinearAlgebra::CSRMatrixOperationsDevice< Config >.

Definition at line 143 of file MatrixOperations.h.

◆ writeRestart()

virtual void AMP::LinearAlgebra::MatrixOperations::writeRestart ( int64_t fid ) const

virtualinherited

Write restart data to file.

This function will write the mesh to an HDF5 file

Parameters

fid	File identifier to write

Reimplemented in AMP::LinearAlgebra::CSRMatrixOperationsDefault< Config >, and AMP::LinearAlgebra::CSRMatrixOperationsDevice< Config >.

◆ zero()

void AMP::LinearAlgebra::DenseSerialMatrixOperations::zero ( MatrixData & A )

overrideprivatevirtual

Set the non-zeros of the matrix to zero.

May not deallocate space.

Parameters

[in] A The input matrix A

Implements AMP::LinearAlgebra::MatrixOperations.

Member Data Documentation

◆ d_hash

uint64_t AMP::LinearAlgebra::MatrixOperations::d_hash = 0

protectedinherited

unique hash for object

Definition at line 169 of file MatrixOperations.h.

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

src/matrices/operations/DenseSerialMatrixOperations.h

Public Member Functions

Protected Attributes

Private Member Functions

Detailed Description

Member Function Documentation

◆ axpy()

◆ copy()

◆ copyCast()

◆ extractDiagonal()

◆ getID()

◆ getRowSums()

◆ getRowSumsAbsolute()

◆ LinfNorm()

◆ matMatMult()

◆ mult()

◆ multTranspose()

◆ registerChildObjects()

◆ scale() [1/2]

◆ scale() [2/2]

◆ scaleInv()

◆ setDiagonal()

◆ setIdentity()

◆ setScalar()

◆ type()

◆ writeRestart()

◆ zero()

Member Data Documentation

◆ d_hash