Data type sparse matrix. More...

#include <sparsemat.hpp>

Inheritance diagram for mfem::SparseMatrix:

Collaboration diagram for mfem::SparseMatrix:

Public Member Functions
	SparseMatrix (int nrows, int ncols=0)
	Creates sparse matrix. More...

	SparseMatrix (int i, int j, double *data, int m, int n)

	SparseMatrix (int i, int j, double *data, int m, int n, bool ownij, bool owna, bool issorted)

int	Size () const
	For backward compatibility define Size to be synonym of Height() More...

int *	GetI () const
	Return the array I. More...

int *	GetJ () const
	Return the array J. More...

double *	GetData () const
	Return element data. More...

int	RowSize (const int i) const
	Returns the number of elements in row i. More...

int	MaxRowSize () const
	Returns the maximum number of elements among all rows. More...

int *	GetRowColumns (const int row)
	Return a pointer to the column indices in a row. More...

const int *	GetRowColumns (const int row) const

double *	GetRowEntries (const int row)
	Return a pointer to the entries in a row. More...

const double *	GetRowEntries (const int row) const

void	SetWidth (int width_=-1)
	Change the width of a SparseMatrix. More...

int	ActualWidth ()
	Returns the actual Width of the matrix. More...

void	SortColumnIndices ()
	Sort the column indices corresponding to each row. More...

virtual double &	Elem (int i, int j)
	Returns reference to a_{ij}. More...

virtual const double &	Elem (int i, int j) const
	Returns constant reference to a_{ij}. More...

double &	operator() (int i, int j)
	Returns reference to A[i][j]. More...

const double &	operator() (int i, int j) const
	Returns reference to A[i][j]. More...

void	GetDiag (Vector &d) const
	Returns the Diagonal of A. More...

virtual void	Mult (const Vector &x, Vector &y) const
	Matrix vector multiplication. More...

void	AddMult (const Vector &x, Vector &y, const double a=1.0) const
	y += A * x (default) or y += a * A * x More...

void	MultTranspose (const Vector &x, Vector &y) const
	Multiply a vector with the transposed matrix. y = At * x. More...

void	AddMultTranspose (const Vector &x, Vector &y, const double a=1.0) const
	y += At * x (default) or y += a * At * x More...

void	PartMult (const Array< int > &rows, const Vector &x, Vector &y) const

void	PartAddMult (const Array< int > &rows, const Vector &x, Vector &y, const double a=1.0) const

double	InnerProduct (const Vector &x, const Vector &y) const
	Compute y^t A x. More...

void	GetRowSums (Vector &x) const
	For all i compute $x_i = \sum_j A_{ij}$ . More...

double	GetRowNorml1 (int irow) const
	For i = irow compute $x_i = \sum_j \| A_{i, j} \|$ . More...

virtual MatrixInverse *	Inverse () const
	Returns a pointer to approximation of the matrix inverse. More...

void	EliminateRow (int row, const double sol, Vector &rhs)
	Eliminates a column from the transpose matrix. More...

void	EliminateRow (int row, int setOneDiagonal=0)
	Eliminates a row from the matrix. More...

void	EliminateCol (int col)

void	EliminateCols (Array< int > &cols, Vector x=NULL, Vector b=NULL)
	Eliminate all columns 'i' for which cols[i] != 0. More...

void	EliminateRowCol (int rc, const double sol, Vector &rhs, int d=0)

void	EliminateRowColMultipleRHS (int rc, const Vector &sol, DenseMatrix &rhs, int d=0)

void	EliminateRowCol (int rc, int d=0)

void	EliminateRowCol (int rc, SparseMatrix &Ae, int d=0)

void	SetDiagIdentity ()
	If a row contains only one diag entry of zero, set it to 1. More...

void	EliminateZeroRows ()
	If a row contains only zeros, set its diagonal to 1. More...

void	Gauss_Seidel_forw (const Vector &x, Vector &y) const
	Gauss-Seidel forward and backward iterations over a vector x. More...

void	Gauss_Seidel_back (const Vector &x, Vector &y) const

double	GetJacobiScaling () const
	Determine appropriate scaling for Jacobi iteration. More...

void	Jacobi (const Vector &b, const Vector &x0, Vector &x1, double sc) const

void	DiagScale (const Vector &b, Vector &x, double sc=1.0) const

void	Jacobi2 (const Vector &b, const Vector &x0, Vector &x1, double sc=1.0) const

void	Jacobi3 (const Vector &b, const Vector &x0, Vector &x1, double sc=1.0) const

virtual void	Finalize (int skip_zeros=1)

bool	Finalized () const

bool	areColumnsSorted () const

void	GetBlocks (Array2D< SparseMatrix * > &blocks) const

void	GetSubMatrix (const Array< int > &rows, const Array< int > &cols, DenseMatrix &subm)

void	Set (const int i, const int j, const double a)

void	Add (const int i, const int j, const double a)

void	SetSubMatrix (const Array< int > &rows, const Array< int > &cols, const DenseMatrix &subm, int skip_zeros=1)

void	SetSubMatrixTranspose (const Array< int > &rows, const Array< int > &cols, const DenseMatrix &subm, int skip_zeros=1)

void	AddSubMatrix (const Array< int > &rows, const Array< int > &cols, const DenseMatrix &subm, int skip_zeros=1)

bool	RowIsEmpty (const int row) const

virtual int	GetRow (const int row, Array< int > &cols, Vector &srow) const

void	SetRow (const int row, const Array< int > &cols, const Vector &srow)

void	AddRow (const int row, const Array< int > &cols, const Vector &srow)

void	ScaleRow (const int row, const double scale)

void	ScaleRows (const Vector &sl)

void	ScaleColumns (const Vector &sr)

SparseMatrix &	operator+= (SparseMatrix &B)

void	Add (const double a, const SparseMatrix &B)

SparseMatrix &	operator= (double a)

SparseMatrix &	operator*= (double a)

void	Print (std::ostream &out=std::cout, int width_=4) const
	Prints matrix to stream out. More...

void	PrintMatlab (std::ostream &out=std::cout) const
	Prints matrix in matlab format. More...

void	PrintMM (std::ostream &out=std::cout) const
	Prints matrix in Matrix Market sparse format. More...

void	PrintCSR (std::ostream &out) const
	Prints matrix to stream out in hypre_CSRMatrix format. More...

void	PrintCSR2 (std::ostream &out) const
	Prints a sparse matrix to stream out in CSR format. More...

int	Walk (int &i, int &j, double &a)
	Walks the sparse matrix. More...

double	IsSymmetric () const
	Returns max_{i,j} \|(i,j)-(j,i)\| for a finalized matrix. More...

void	Symmetrize ()
	(this) = 1/2 ((this) + (*this)^t) More...

virtual int	NumNonZeroElems () const
	Returns the number of the nonzero elements in the matrix. More...

double	MaxNorm () const

int	CountSmallElems (double tol) const
	Count the number of entries with \|a_ij\| < tol. More...

void	LoseData ()
	Call this if data has been stolen. More...

virtual	~SparseMatrix ()
	Destroys sparse matrix. More...

Public Member Functions inherited from mfem::AbstractSparseMatrix
	AbstractSparseMatrix (int s=0)
	Creates a square matrix of the given size. More...

	AbstractSparseMatrix (int h, int w)
	Creates a matrix of the given height and width. More...

virtual	~AbstractSparseMatrix ()
	Destroys AbstractSparseMatrix. More...

Public Member Functions inherited from mfem::Matrix
	Matrix (int s)
	Creates a square matrix of size s. More...

	Matrix (int h, int w)
	Creates a matrix of the given height and width. More...

virtual	~Matrix ()
	Destroys matrix. More...

Public Member Functions inherited from mfem::Operator
	Operator (int s=0)
	Construct a square Operator with given size s (default 0) More...

	Operator (int h, int w)

int	Height () const
	Get the height (size of output) of the Operator. Synonym with NumRows. More...

int	NumRows () const

int	Width () const
	Get the width (size of input) of the Operator. Synonym with NumCols. More...

int	NumCols () const

virtual Operator &	GetGradient (const Vector &x) const
	Evaluate the gradient operator at the point x. More...

void	PrintMatlab (std::ostream &out, int n=0, int m=0)
	Prints operator with input size n and output size m in matlab format. More...

virtual	~Operator ()

Friends
void	Swap (SparseMatrix &A, SparseMatrix &B)

Additional Inherited Members
Protected Attributes inherited from mfem::Operator
int	height

int	width

Detailed Description

Data type sparse matrix.

Definition at line 38 of file sparsemat.hpp.

Constructor & Destructor Documentation

mfem::SparseMatrix::SparseMatrix	(	int	nrows,
		int	ncols = `0`
	)

explicit

Creates sparse matrix.

Definition at line 27 of file sparsemat.cpp.

mfem::SparseMatrix::SparseMatrix	(	int *	i,
		int *	j,
		double *	data,
		int	m,
		int	n
	)

Definition at line 50 of file sparsemat.cpp.

mfem::SparseMatrix::SparseMatrix	(	int *	i,
		int *	j,
		double *	data,
		int	m,
		int	n,
		bool	ownij,
		bool	owna,
		bool	issorted
	)

Definition at line 67 of file sparsemat.cpp.

mfem::SparseMatrix::~SparseMatrix ( )

virtual

Destroys sparse matrix.

Definition at line 2067 of file sparsemat.cpp.

Member Function Documentation

int mfem::SparseMatrix::ActualWidth ( )

Returns the actual Width of the matrix.

This method can be called for matrices finalized or not.

Definition at line 2115 of file sparsemat.cpp.

void mfem::SparseMatrix::Add	(	const int	i,
		const int	j,
		const double	a
	)

Definition at line 1525 of file sparsemat.cpp.

void mfem::SparseMatrix::Add	(	const double	a,
		const SparseMatrix &	B
	)

Add the sparse matrix 'B' scaled by the scalar 'a' into '*this'. Only entries in the sparsity pattern of '*this' are added.

Definition at line 1877 of file sparsemat.cpp.

void mfem::SparseMatrix::AddMult	(	const Vector &	x,
		Vector &	y,
		const double	a = `1.0`
	)		const

virtual

y += A * x (default) or y += a * A * x

Implements mfem::AbstractSparseMatrix.

Definition at line 318 of file sparsemat.cpp.

void mfem::SparseMatrix::AddMultTranspose	(	const Vector &	x,
		Vector &	y,
		const double	a = `1.0`
	)		const

virtual

y += At * x (default) or y += a * At * x

Implements mfem::AbstractSparseMatrix.

Definition at line 393 of file sparsemat.cpp.

void mfem::SparseMatrix::AddRow	(	const int	row,
		const Array< int > &	cols,
		const Vector &	srow
	)

Definition at line 1728 of file sparsemat.cpp.

void mfem::SparseMatrix::AddSubMatrix	(	const Array< int > &	rows,
		const Array< int > &	cols,
		const DenseMatrix &	subm,
		int	skip_zeros = `1`
	)

Definition at line 1468 of file sparsemat.cpp.

bool mfem::SparseMatrix::areColumnsSorted ( ) const

inline

Definition at line 235 of file sparsemat.hpp.

int mfem::SparseMatrix::CountSmallElems ( double tol ) const

Count the number of entries with |a_ij| < tol.

Definition at line 736 of file sparsemat.cpp.

void mfem::SparseMatrix::DiagScale	(	const Vector &	b,
		Vector &	x,
		double	sc = `1.0`
	)		const

Definition at line 1388 of file sparsemat.cpp.

double & mfem::SparseMatrix::Elem	(	int	i,
		int	j
	)

virtual

Returns reference to a_{ij}.

Implements mfem::Matrix.

Definition at line 227 of file sparsemat.cpp.

const double & mfem::SparseMatrix::Elem	(	int	i,
		int	j
	)		const

virtual

Returns constant reference to a_{ij}.

Implements mfem::Matrix.

Definition at line 232 of file sparsemat.cpp.

void mfem::SparseMatrix::EliminateCol ( int col )

Definition at line 814 of file sparsemat.cpp.

void mfem::SparseMatrix::EliminateCols	(	Array< int > &	cols,
		Vector *	x = `NULL`,
		Vector *	b = `NULL`
	)

Eliminate all columns 'i' for which cols[i] != 0.

Definition at line 828 of file sparsemat.cpp.

void mfem::SparseMatrix::EliminateRow	(	int	row,
		const double	sol,
		Vector &	rhs
	)

Eliminates a column from the transpose matrix.

Definition at line 771 of file sparsemat.cpp.

void mfem::SparseMatrix::EliminateRow	(	int	row,
		int	setOneDiagonal = `0`
	)

Eliminates a row from the matrix.

If setOneDiagonal = 0, all the entries in the row will be set to 0. If setOneDiagonal = 1 (matrix must be square), the diagonal entry will be set equal to 1 and all the others entries to 0.

Definition at line 787 of file sparsemat.cpp.

void mfem::SparseMatrix::EliminateRowCol	(	int	rc,
		const double	sol,
		Vector &	rhs,
		int	d = `0`
	)

Eliminates the column 'rc' to the 'rhs', deletes the row 'rc' and replaces the element (rc,rc) with 1.0; assumes that element (i,rc) is assembled if and only if the element (rc,i) is assembled. If d != 0 then the element (rc,rc) remains the same.

Definition at line 859 of file sparsemat.cpp.

void mfem::SparseMatrix::EliminateRowCol	(	int	rc,
		int	d = `0`
	)

Definition at line 1008 of file sparsemat.cpp.

void mfem::SparseMatrix::EliminateRowCol	(	int	rc,
		SparseMatrix &	Ae,
		int	d = `0`
	)

Definition at line 1071 of file sparsemat.cpp.

void mfem::SparseMatrix::EliminateRowColMultipleRHS	(	int	rc,
		const Vector &	sol,
		DenseMatrix &	rhs,
		int	d = `0`
	)

Like previous one, but multiple values for eliminated dofs are accepted, and accordingly multiple right-hand-sides are used.

Definition at line 923 of file sparsemat.cpp.

void mfem::SparseMatrix::EliminateZeroRows ( )

virtual

If a row contains only zeros, set its diagonal to 1.

Implements mfem::AbstractSparseMatrix.

Definition at line 1147 of file sparsemat.cpp.

void mfem::SparseMatrix::Finalize ( int skip_zeros = 1 )

virtual

Finalize the matrix initialization. The function should be called only once, after the matrix has been initialized. Internally, this method converts the matrix from row-wise linked list format into CSR (compressed sparse row) format.

Reimplemented from mfem::Matrix.

Definition at line 529 of file sparsemat.cpp.

bool mfem::SparseMatrix::Finalized ( ) const

inline

Definition at line 234 of file sparsemat.hpp.

void mfem::SparseMatrix::Gauss_Seidel_back	(	const Vector &	x,
		Vector &	y
	)		const

Definition at line 1249 of file sparsemat.cpp.

void mfem::SparseMatrix::Gauss_Seidel_forw	(	const Vector &	x,
		Vector &	y
	)		const

Gauss-Seidel forward and backward iterations over a vector x.

Definition at line 1174 of file sparsemat.cpp.

void mfem::SparseMatrix::GetBlocks ( Array2D< SparseMatrix * > & blocks ) const

Split the matrix into M x N blocks of sparse matrices in CSR format. The 'blocks' array is M x N (i.e. M and N are determined by its dimensions) and its entries are overwritten by the new blocks.

Definition at line 601 of file sparsemat.cpp.

double* mfem::SparseMatrix::GetData ( ) const

inline

Return element data.

Definition at line 101 of file sparsemat.hpp.

void mfem::SparseMatrix::GetDiag ( Vector & d ) const

Returns the Diagonal of A.

Definition at line 284 of file sparsemat.cpp.

int* mfem::SparseMatrix::GetI ( ) const

inline

Return the array I.

Definition at line 97 of file sparsemat.hpp.

int* mfem::SparseMatrix::GetJ ( ) const

inline

Return the array J.

Definition at line 99 of file sparsemat.hpp.

double mfem::SparseMatrix::GetJacobiScaling ( ) const

Determine appropriate scaling for Jacobi iteration.

Definition at line 1324 of file sparsemat.cpp.

int mfem::SparseMatrix::GetRow	(	const int	row,
		Array< int > &	cols,
		Vector &	srow
	)		const

virtual

Extract all column indices and values from a given row. If the matrix is finalized (i.e. in CSR format), 'cols' and 'srow' will simply be references to the specific portion of the J and A arrays. As required by the AbstractSparseMatrix interface this method returns: 0 if cols and srow are copies of the values in the matrix (i.e. when the matrix is open). 1 if cols and srow are views of the values in the matrix (i.e. when the matrix is finalized).

Implements mfem::AbstractSparseMatrix.

Definition at line 1661 of file sparsemat.cpp.

int * mfem::SparseMatrix::GetRowColumns ( const int row )

Return a pointer to the column indices in a row.

Definition at line 132 of file sparsemat.cpp.

const int * mfem::SparseMatrix::GetRowColumns ( const int row ) const

Definition at line 139 of file sparsemat.cpp.

double * mfem::SparseMatrix::GetRowEntries ( const int row )

Return a pointer to the entries in a row.

Definition at line 146 of file sparsemat.cpp.

const double * mfem::SparseMatrix::GetRowEntries ( const int row ) const

Definition at line 153 of file sparsemat.cpp.

double mfem::SparseMatrix::GetRowNorml1 ( int irow ) const

For i = irow compute $x_i = \sum_j | A_{i, j} |$ .

Definition at line 509 of file sparsemat.cpp.

void mfem::SparseMatrix::GetRowSums ( Vector & x ) const

For all i compute $x_i = \sum_j A_{ij}$ .

Definition at line 490 of file sparsemat.cpp.

void mfem::SparseMatrix::GetSubMatrix	(	const Array< int > &	rows,
		const Array< int > &	cols,
		DenseMatrix &	subm
	)

Definition at line 1612 of file sparsemat.cpp.

double mfem::SparseMatrix::InnerProduct	(	const Vector &	x,
		const Vector &	y
	)		const

Compute y^t A x.

Definition at line 468 of file sparsemat.cpp.

MatrixInverse * mfem::SparseMatrix::Inverse ( ) const

virtual

Returns a pointer to approximation of the matrix inverse.

Implements mfem::Matrix.

Definition at line 766 of file sparsemat.cpp.

double mfem::SparseMatrix::IsSymmetric ( ) const

Returns max_{i,j} |(i,j)-(j,i)| for a finalized matrix.

Definition at line 656 of file sparsemat.cpp.

void mfem::SparseMatrix::Jacobi	(	const Vector &	b,
		const Vector &	x0,
		Vector &	x1,
		double	sc
	)		const

One scaled Jacobi iteration for the system A x = b. x1 = x0 + sc D^{-1} (b - A x0) where D is the diag of A.

Definition at line 1357 of file sparsemat.cpp.

void mfem::SparseMatrix::Jacobi2	(	const Vector &	b,
		const Vector &	x0,
		Vector &	x1,
		double	sc = `1.0`
	)		const

x1 = x0 + sc D^{-1} (b - A x0) where $D_{ii} = \sum_j |A_{ij}|$ .

Definition at line 1420 of file sparsemat.cpp.

void mfem::SparseMatrix::Jacobi3	(	const Vector &	b,
		const Vector &	x0,
		Vector &	x1,
		double	sc = `1.0`
	)		const

x1 = x0 + sc D^{-1} (b - A x0) where $D_{ii} = \sum_j A_{ij}$ .

Definition at line 1444 of file sparsemat.cpp.

void mfem::SparseMatrix::LoseData ( )

inline

Call this if data has been stolen.

Definition at line 322 of file sparsemat.hpp.

double mfem::SparseMatrix::MaxNorm ( ) const

Definition at line 713 of file sparsemat.cpp.

int mfem::SparseMatrix::MaxRowSize ( ) const

Returns the maximum number of elements among all rows.

Definition at line 108 of file sparsemat.cpp.

void mfem::SparseMatrix::Mult	(	const Vector &	x,
		Vector &	y
	)		const

virtual

Matrix vector multiplication.

Implements mfem::AbstractSparseMatrix.

Definition at line 312 of file sparsemat.cpp.

void mfem::SparseMatrix::MultTranspose	(	const Vector &	x,
		Vector &	y
	)		const

virtual

Multiply a vector with the transposed matrix. y = At * x.

Implements mfem::AbstractSparseMatrix.

Definition at line 387 of file sparsemat.cpp.

int mfem::SparseMatrix::NumNonZeroElems ( ) const

virtual

Returns the number of the nonzero elements in the matrix.

Implements mfem::AbstractSparseMatrix.

Definition at line 693 of file sparsemat.cpp.

double & mfem::SparseMatrix::operator()	(	int	i,
		int	j
	)

Returns reference to A[i][j].

Definition at line 237 of file sparsemat.cpp.

const double & mfem::SparseMatrix::operator()	(	int	i,
		int	j
	)		const

Returns reference to A[i][j].

Definition at line 261 of file sparsemat.cpp.

SparseMatrix & mfem::SparseMatrix::operator*= ( double a )

Definition at line 1918 of file sparsemat.cpp.

SparseMatrix & mfem::SparseMatrix::operator+= ( SparseMatrix & B )

Add the sparse matrix 'B' to '*this'. This operation will cause an error if '*this' is finalized and 'B' has larger sparsity pattern.

Definition at line 1847 of file sparsemat.cpp.

SparseMatrix & mfem::SparseMatrix::operator= ( double a )

Definition at line 1900 of file sparsemat.cpp.

void mfem::SparseMatrix::PartAddMult	(	const Array< int > &	rows,
		const Vector &	x,
		Vector &	y,
		const double	a = `1.0`
	)		const

Definition at line 450 of file sparsemat.cpp.

void mfem::SparseMatrix::PartMult	(	const Array< int > &	rows,
		const Vector &	x,
		Vector &	y
	)		const

Definition at line 432 of file sparsemat.cpp.

void mfem::SparseMatrix::Print	(	std::ostream &	out = `std::cout`,
		int	width_ = `4`
	)		const

virtual

Prints matrix to stream out.

Reimplemented from mfem::Matrix.

Definition at line 1936 of file sparsemat.cpp.

void mfem::SparseMatrix::PrintCSR ( std::ostream & out ) const

Prints matrix to stream out in hypre_CSRMatrix format.

Definition at line 2018 of file sparsemat.cpp.

void mfem::SparseMatrix::PrintCSR2 ( std::ostream & out ) const

Prints a sparse matrix to stream out in CSR format.

Definition at line 2042 of file sparsemat.cpp.

void mfem::SparseMatrix::PrintMatlab ( std::ostream & out = std::cout ) const

Prints matrix in matlab format.

Definition at line 1980 of file sparsemat.cpp.

void mfem::SparseMatrix::PrintMM ( std::ostream & out = std::cout ) const

Prints matrix in Matrix Market sparse format.

Definition at line 1998 of file sparsemat.cpp.

bool mfem::SparseMatrix::RowIsEmpty ( const int row ) const

Definition at line 1640 of file sparsemat.cpp.

int mfem::SparseMatrix::RowSize ( const int i ) const

Returns the number of elements in row i.

Definition at line 91 of file sparsemat.cpp.

void mfem::SparseMatrix::ScaleColumns ( const Vector & sr )

Definition at line 1819 of file sparsemat.cpp.

void mfem::SparseMatrix::ScaleRow	(	const int	row,
		const double	scale
	)

Definition at line 1760 of file sparsemat.cpp.

void mfem::SparseMatrix::ScaleRows ( const Vector & sl )

Definition at line 1788 of file sparsemat.cpp.

void mfem::SparseMatrix::Set	(	const int	i,
		const int	j,
		const double	a
	)

Definition at line 1506 of file sparsemat.cpp.

void mfem::SparseMatrix::SetDiagIdentity ( )

If a row contains only one diag entry of zero, set it to 1.

Definition at line 1138 of file sparsemat.cpp.

void mfem::SparseMatrix::SetRow	(	const int	row,
		const Array< int > &	cols,
		const Vector &	srow
	)

Definition at line 1700 of file sparsemat.cpp.

void mfem::SparseMatrix::SetSubMatrix	(	const Array< int > &	rows,
		const Array< int > &	cols,
		const DenseMatrix &	subm,
		int	skip_zeros = `1`
	)

Definition at line 1544 of file sparsemat.cpp.

void mfem::SparseMatrix::SetSubMatrixTranspose	(	const Array< int > &	rows,
		const Array< int > &	cols,
		const DenseMatrix &	subm,
		int	skip_zeros = `1`
	)

Definition at line 1577 of file sparsemat.cpp.

void mfem::SparseMatrix::SetWidth ( int width_ = -1 )

Change the width of a SparseMatrix.

If width_ = -1 (DEFAULT), this routine will set the new width to the actual Width of the matrix awidth = max(J) + 1. Values 0 <= width_ < awidth are not allowed (error check in Debug Mode only)

This method can be called for matrices finalized or not.

Definition at line 160 of file sparsemat.cpp.

int mfem::SparseMatrix::Size ( ) const

inline

For backward compatibility define Size to be synonym of Height()

Definition at line 94 of file sparsemat.hpp.

void mfem::SparseMatrix::SortColumnIndices ( )

Sort the column indices corresponding to each row.

Definition at line 198 of file sparsemat.cpp.

void mfem::SparseMatrix::Symmetrize ( )

(*this) = 1/2 ((*this) + (*this)^t)

Definition at line 678 of file sparsemat.cpp.

int mfem::SparseMatrix::Walk	(	int &	i,
		int &	j,
		double &	a
	)

Walks the sparse matrix.

Friends And Related Function Documentation

void Swap	(	SparseMatrix &	A,
		SparseMatrix &	B
	)

friend

Definition at line 2657 of file sparsemat.cpp.

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

Public Member Functions

Friends

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Friends And Related Function Documentation