Data type sparse matrix. More...

#include <sparsemat.hpp>

Inheritance diagram for SparseMatrix:

Collaboration diagram for SparseMatrix:

Public Member Functions
	SparseMatrix (int nrows, int ncols=0)
	Creates sparse matrix.
	SparseMatrix (int i, int j, double *data, int m, int n)
int *	GetI () const
	Return the array I.
int *	GetJ () const
	Return the array J.
double *	GetData () const
	Return element data.
int	Width () const
	Return the number of columns.
int	RowSize (int i)
	Returns the number of elements in row i.
virtual double &	Elem (int i, int j)
	Returns reference to a_{ij}. Index i, j = 0 .. size-1.
virtual const double &	Elem (int i, int j) const
	Returns constant reference to a_{ij}. Index i, j = 0 .. size-1.
double &	operator() (int i, int j)
	Returns reference to A[i][j]. Index i, j = 0 .. size-1.
const double &	operator() (int i, int j) const
	Returns reference to A[i][j]. Index i, j = 0 .. size-1.
virtual void	Mult (const Vector &x, Vector &y) const
	Matrix vector multiplication.
void	AddMult (const Vector &x, Vector &y, const double a=1.0) const
	y += A * x (default) or y += a * A * x
void	MultTranspose (const Vector &x, Vector &y) const
	Multiply a vector with the transposed matrix. y = At * x.
void	AddMultTranspose (const Vector &x, Vector &y, const double a=1.0) const
	y += At * x (default) or y += a * At * x
void	PartMult (const Array< int > &rows, const Vector &x, Vector &y)
double	InnerProduct (const Vector &x, const Vector &y) const
	Compute y^t A x.
void	GetRowSums (Vector &x) const
virtual MatrixInverse *	Inverse () const
	Returns a pointer to approximation of the matrix inverse.
void	EliminateRow (int row, const double sol, Vector &rhs)
	Eliminates a column from the transpose matrix.
void	EliminateRow (int row)
void	EliminateCol (int col)
void	EliminateCols (Array< int > &cols, Vector x=NULL, Vector b=NULL)
	Eliminate all columns 'i' for which cols[i] != 0.
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.
void	EliminateZeroRows ()
	If a row contains only zeros, set its diagonal to 1.
void	Gauss_Seidel_forw (const Vector &x, Vector &y) const
	Gauss-Seidel forward and backward iterations over a vector x.
void	Gauss_Seidel_back (const Vector &x, Vector &y) const
double	GetJacobiScaling () const
	Determine appropriate scaling for Jacobi iteration.
void	Jacobi (const Vector &b, const Vector &x0, Vector &x1, double sc) const
void	Jacobi2 (const Vector &b, const Vector &x0, Vector &x1, double sc=1.0) const
virtual void	Finalize (int skip_zeros=1)
int	Finalized ()
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)
void	AddRow (const int row, const Array< int > &cols, const Vector &srow)
void	ScaleRow (const int row, const double scale)
SparseMatrix &	operator+= (SparseMatrix &B)
SparseMatrix &	operator= (double a)
void	Print (ostream &out=cout, int width=4) const
	Prints matrix to stream out.
void	PrintMatlab (ostream &out=cout) const
	Prints matrix in matlab format.
void	PrintMM (ostream &out=cout) const
	Prints matrix in Matrix Market sparse format.
void	PrintCSR (ostream &out) const
	Prints matrix to stream out in hypre_CSRMatrix format.
void	PrintCSR2 (ostream &out) const
	Prints a sparse matrix to stream out in CSR format.
int	Walk (int &i, int &j, double &a)
	Walks the sparse matrix.
double	IsSymmetric () const
	Returns max_{i,j} \|(i,j)-(j,i)\| for a finalized matrix.
void	Symmetrize ()
	(this) = 1/2 ((this) + (*this)^t)
int	NumNonZeroElems () const
	Returns the number of the nonzero elements in the matrix.
double	MaxNorm () const
int	CountSmallElems (double tol)
	Count the number of entries with \|a_ij\| < tol.
void	LoseData ()
	Call this if data has been stolen.
virtual	~SparseMatrix ()
	Destroys sparse matrix.
Private Member Functions
void	SetColPtr (const int row)
void	ClearColPtr ()
double &	SearchRow (const int col)
void	_Add_ (const int col, const double a)
void	_Set_ (const int col, const double a)
double	_Get_ (const int col)
double &	SearchRow (const int row, const int col)
void	_Add_ (const int row, const int col, const double a)
void	_Set_ (const int row, const int col, const double a)
Private Attributes
int *	I
int *	J
int	width
double *	A
	The nonzero entries in the Sparse matrix with size I[size].
RowNode **	Rows
int	current_row
union {
int * J
RowNode ** Node
}	ColPtr

Detailed Description

Data type sparse matrix.

Definition at line 30 of file sparsemat.hpp.

Constructor & Destructor Documentation

SparseMatrix::SparseMatrix	(	int	nrows,
		int	ncols = `0`
	)		`[explicit]`

Creates sparse matrix.

Definition at line 21 of file sparsemat.cpp.

References A, ColPtr, I, J, Rows, and width.

Referenced by GetBlocks().

SparseMatrix::SparseMatrix	(	int *	i,
		int *	j,
		double *	data,
		int	m,
		int	n
	)		`[inline]`

Definition at line 70 of file sparsemat.hpp.

References ColPtr, and Rows.

SparseMatrix::~SparseMatrix ( ) [virtual]

Destroys sparse matrix.

Definition at line 1349 of file sparsemat.cpp.

References A, ColPtr, I, J, RowNode::Prev, Rows, and Operator::size.

Member Function Documentation

void SparseMatrix::_Add_	(	const int	col,
		const double	a
	)		`[inline, private]`

Definition at line 54 of file sparsemat.hpp.

References SearchRow().

Referenced by Add(), AddRow(), AddSubMatrix(), and operator+=().

void SparseMatrix::_Add_	(	const int	row,
		const int	col,
		const double	a
	)		`[inline, private]`

Definition at line 61 of file sparsemat.hpp.

References SearchRow().

double SparseMatrix::_Get_ ( const int col ) [inline, private]

Definition at line 343 of file sparsemat.hpp.

References A, ColPtr, Rows, and RowNode::Value.

Referenced by GetSubMatrix().

void SparseMatrix::_Set_	(	const int	col,
		const double	a
	)		`[inline, private]`

Definition at line 56 of file sparsemat.hpp.

References SearchRow().

Referenced by Set(), SetSubMatrix(), and SetSubMatrixTranspose().

void SparseMatrix::_Set_	(	const int	row,
		const int	col,
		const double	a
	)		`[inline, private]`

Definition at line 63 of file sparsemat.hpp.

References SearchRow().

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

Definition at line 1056 of file sparsemat.cpp.

References _Add_(), A, mfem_error(), Operator::size, and width.

Referenced by EliminateRowCol().

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

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

Definition at line 105 of file sparsemat.cpp.

References A, RowNode::Column, Vector::GetData(), I, J, mfem_error(), RowNode::Prev, Rows, Operator::size, Vector::Size(), RowNode::Value, and width.

Referenced by BilinearForm::EliminateVDofsInRHS(), BilinearForm::FullAddMult(), BilinearForm::FullMult(), and Mult().

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

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

Definition at line 187 of file sparsemat.cpp.

References A, RowNode::Column, Vector::GetData(), I, J, mfem_error(), RowNode::Prev, Rows, Vector::Size(), Operator::size, RowNode::Value, and width.

Referenced by MultTranspose().

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

Definition at line 1167 of file sparsemat.cpp.

References _Add_(), ClearColPtr(), mfem_error(), Rows, SetColPtr(), Array< T >::Size(), Operator::size, and width.

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

Definition at line 1001 of file sparsemat.cpp.

References _Add_(), ClearColPtr(), mfem_error(), SetColPtr(), Operator::size, Array< T >::Size(), and width.

Referenced by BilinearForm::Assemble(), and BilinearForm::AssembleElementMatrix().

void SparseMatrix::ClearColPtr ( ) [inline, private]

Definition at line 300 of file sparsemat.hpp.

References ColPtr, current_row, I, J, RowNode::Prev, and Rows.

Referenced by AddRow(), AddSubMatrix(), GetSubMatrix(), operator+=(), SetSubMatrix(), and SetSubMatrixTranspose().

int SparseMatrix::CountSmallElems ( double tol )

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

Definition at line 447 of file sparsemat.cpp.

References A, I, RowNode::Prev, Rows, and Operator::size.

const double & SparseMatrix::Elem	(	int	i,
		int	j
	)		const `[virtual]`

Returns constant reference to a_{ij}. Index i, j = 0 .. size-1.

Implements Matrix.

Definition at line 53 of file sparsemat.cpp.

References operator()().

double & SparseMatrix::Elem	(	int	i,
		int	j
	)		`[virtual]`

Returns reference to a_{ij}. Index i, j = 0 .. size-1.

Implements Matrix.

Definition at line 48 of file sparsemat.cpp.

References operator()().

void SparseMatrix::EliminateCol ( int col )

Definition at line 513 of file sparsemat.cpp.

References mfem_error(), RowNode::Prev, Rows, Operator::size, and RowNode::Value.

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

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

Definition at line 526 of file sparsemat.cpp.

References mfem_error(), RowNode::Prev, Rows, Operator::size, and RowNode::Value.

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

Eliminates a column from the transpose matrix.

Definition at line 478 of file sparsemat.cpp.

References RowNode::Column, mfem_error(), RowNode::Prev, Rows, Operator::size, and RowNode::Value.

void SparseMatrix::EliminateRow ( int row )

Definition at line 497 of file sparsemat.cpp.

References mfem_error(), RowNode::Prev, Rows, Operator::size, and RowNode::Value.

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

Definition at line 684 of file sparsemat.cpp.

References RowNode::Column, mfem_error(), RowNode::Prev, Rows, Operator::size, and RowNode::Value.

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

Definition at line 721 of file sparsemat.cpp.

References A, Add(), RowNode::Column, I, J, mfem_error(), RowNode::Prev, Rows, and RowNode::Value.

void 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 543 of file sparsemat.cpp.

References A, I, J, mfem_error(), RowNode::Prev, Rows, and Operator::size.

void 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 609 of file sparsemat.cpp.

References A, I, J, mfem_error(), RowNode::Prev, Rows, Vector::Size(), Operator::size, and DenseMatrix::Width().

void SparseMatrix::EliminateZeroRows ( )

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

Definition at line 795 of file sparsemat.cpp.

References A, I, J, and Operator::size.

void 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 Matrix.

Definition at line 276 of file sparsemat.cpp.

References A, ColPtr, RowNode::Column, I, J, RowNode::Prev, Rows, Operator::size, and RowNode::Value.

int SparseMatrix::Finalized ( ) [inline]

Definition at line 168 of file sparsemat.hpp.

References A.

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

Definition at line 871 of file sparsemat.cpp.

References A, RowNode::Column, Vector::GetData(), I, J, mfem_error(), RowNode::Prev, Rows, Operator::size, and RowNode::Value.

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

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

Definition at line 814 of file sparsemat.cpp.

References A, RowNode::Column, Vector::GetData(), I, J, mfem_error(), RowNode::Prev, Rows, Operator::size, and RowNode::Value.

void 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 323 of file sparsemat.cpp.

References A, I, J, mfem_error(), Array2D< T >::NumCols(), Array2D< T >::NumRows(), RowNode::Prev, Rows, Operator::size, SparseMatrix(), and width.

Referenced by MixedBilinearForm::GetBlocks().

double* SparseMatrix::GetData ( ) const [inline]

Return element data.

Definition at line 79 of file sparsemat.hpp.

References A.

Referenced by Mult(), SparseMatrixFunction(), and Transpose().

int* SparseMatrix::GetI ( ) const [inline]

Return the array I.

Definition at line 75 of file sparsemat.hpp.

References I.

Referenced by Mult(), and Transpose().

int* SparseMatrix::GetJ ( ) const [inline]

Return the array J.

Definition at line 77 of file sparsemat.hpp.

References J.

Referenced by Mult(), and Transpose().

double SparseMatrix::GetJacobiScaling ( ) const

Determine appropriate scaling for Jacobi iteration.

Definition at line 928 of file sparsemat.cpp.

References A, I, J, mfem_error(), norm(), and Operator::size.

void SparseMatrix::GetRowSums ( Vector & x ) const

Definition at line 261 of file sparsemat.cpp.

References A, I, RowNode::Prev, Rows, and Operator::size.

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

Definition at line 1139 of file sparsemat.cpp.

References _Get_(), ClearColPtr(), mfem_error(), SetColPtr(), Operator::size, Array< T >::Size(), and width.

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

Compute y^t A x.

Definition at line 243 of file sparsemat.cpp.

References A, I, J, RowNode::Prev, Rows, and Operator::size.

Referenced by BilinearForm::FullInnerProduct(), and BilinearForm::InnerProduct().

MatrixInverse * SparseMatrix::Inverse ( ) const [virtual]

Returns a pointer to approximation of the matrix inverse.

Implements Matrix.

Definition at line 473 of file sparsemat.cpp.

double SparseMatrix::IsSymmetric ( ) const

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

Definition at line 373 of file sparsemat.cpp.

References A, I, J, mfem_error(), and Operator::size.

void 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 956 of file sparsemat.cpp.

References A, I, J, mfem_error(), and Operator::size.

void 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 980 of file sparsemat.cpp.

References A, I, J, mfem_error(), norm(), and Operator::size.

void SparseMatrix::LoseData ( ) [inline]

Call this if data has been stolen.

Definition at line 233 of file sparsemat.hpp.

References A, I, and J.

double SparseMatrix::MaxNorm ( ) const

Definition at line 428 of file sparsemat.cpp.

References A, I, RowNode::Prev, Rows, and Operator::size.

void SparseMatrix::Mult	(	const Vector &	x,
		Vector &	y
	)		const `[virtual]`

Matrix vector multiplication.

Implements Operator.

Definition at line 99 of file sparsemat.cpp.

References AddMult().

Referenced by BilinearForm::FullMult().

void SparseMatrix::MultTranspose	(	const Vector &	x,
		Vector &	y
	)		const `[virtual]`

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

Reimplemented from Operator.

Definition at line 181 of file sparsemat.cpp.

References AddMultTranspose().

Referenced by Mesh::UpdateNodes().

int SparseMatrix::NumNonZeroElems ( ) const

Returns the number of the nonzero elements in the matrix.

Definition at line 410 of file sparsemat.cpp.

References A, I, RowNode::Prev, Rows, and Operator::size.

Referenced by PrintMM(), SparseMatrixFunction(), and Transpose().

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

Returns reference to A[i][j]. Index i, j = 0 .. size-1.

Definition at line 58 of file sparsemat.cpp.

References A, I, J, mfem_error(), Operator::size, and width.

Referenced by Elem().

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

Returns reference to A[i][j]. Index i, j = 0 .. size-1.

Definition at line 79 of file sparsemat.cpp.

References A, I, J, mfem_error(), Operator::size, and width.

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

Add a sparse matrix to "*this" sparse marix Both marices should not be finilized

Definition at line 1220 of file sparsemat.cpp.

References _Add_(), ClearColPtr(), RowNode::Column, mfem_error(), RowNode::Prev, Rows, SetColPtr(), Operator::size, RowNode::Value, and width.

SparseMatrix & SparseMatrix::operator= ( double a )

Definition at line 1245 of file sparsemat.cpp.

References A, I, Rows, and Operator::size.

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

Definition at line 222 of file sparsemat.cpp.

References A, I, J, mfem_error(), and Array< T >::Size().

Referenced by BilinearForm::EliminateVDofsInRHS().

void SparseMatrix::Print	(	ostream &	out = `cout`,
		int	width = `4`
	)		const `[virtual]`

Prints matrix to stream out.

Reimplemented from Matrix.

Definition at line 1259 of file sparsemat.cpp.

References A, I, J, mfem_error(), and Operator::size.

void SparseMatrix::PrintCSR ( ostream & out ) const

Prints matrix to stream out in hypre_CSRMatrix format.

Definition at line 1310 of file sparsemat.cpp.

References A, I, J, mfem_error(), and Operator::size.

void SparseMatrix::PrintCSR2 ( ostream & out ) const

Prints a sparse matrix to stream out in CSR format.

Definition at line 1329 of file sparsemat.cpp.

References A, I, J, mfem_error(), Operator::size, and width.

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

Prints matrix in matlab format.

Definition at line 1280 of file sparsemat.cpp.

References A, I, J, and Operator::size.

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

Prints matrix in Matrix Market sparse format.

Definition at line 1293 of file sparsemat.cpp.

References A, I, J, NumNonZeroElems(), Operator::size, and width.

int SparseMatrix::RowSize ( int i )

Returns the number of elements in row i.

Definition at line 35 of file sparsemat.cpp.

References I, RowNode::Prev, Rows, and RowNode::Value.

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

Definition at line 1198 of file sparsemat.cpp.

References A, I, and Rows.

double & SparseMatrix::SearchRow	(	const int	row,
		const int	col
	)		`[inline, private]`

Definition at line 357 of file sparsemat.hpp.

References A, RowNode::Column, I, J, mfem_error(), RowNode::Prev, Rows, and RowNode::Value.

double & SparseMatrix::SearchRow ( const int col ) [inline, private]

Definition at line 315 of file sparsemat.hpp.

References A, ColPtr, RowNode::Column, current_row, mfem_error(), RowNode::Prev, Rows, and RowNode::Value.

Referenced by _Add_(), and _Set_().

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

Definition at line 1037 of file sparsemat.cpp.

References _Set_(), A, mfem_error(), Operator::size, and width.

void SparseMatrix::SetColPtr ( const int row ) [inline, private]

Definition at line 269 of file sparsemat.hpp.

References ColPtr, current_row, I, J, RowNode::Prev, Rows, and width.

Referenced by AddRow(), AddSubMatrix(), GetSubMatrix(), operator+=(), SetSubMatrix(), and SetSubMatrixTranspose().

void SparseMatrix::SetDiagIdentity ( )

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

Definition at line 788 of file sparsemat.cpp.

References A, I, and Operator::size.

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

Definition at line 1075 of file sparsemat.cpp.

References _Set_(), ClearColPtr(), mfem_error(), SetColPtr(), Operator::size, Array< T >::Size(), and width.

Referenced by DiscreteLinearOperator::Assemble().

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

Definition at line 1106 of file sparsemat.cpp.

References _Set_(), ClearColPtr(), mfem_error(), SetColPtr(), Operator::size, Array< T >::Size(), and width.

void SparseMatrix::Symmetrize ( )

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

Definition at line 394 of file sparsemat.cpp.

References A, I, J, mfem_error(), and Operator::size.

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

Walks the sparse matrix.

int SparseMatrix::Width ( ) const [inline]

Return the number of columns.

Definition at line 81 of file sparsemat.hpp.

References width.

Referenced by Mult(), and Transpose().

Member Data Documentation

double* SparseMatrix::A [private]

The nonzero entries in the Sparse matrix with size I[size].

Definition at line 40 of file sparsemat.hpp.

Referenced by _Get_(), Add(), AddMult(), AddMultTranspose(), CountSmallElems(), EliminateRowCol(), EliminateRowColMultipleRHS(), EliminateZeroRows(), Finalize(), Finalized(), Gauss_Seidel_back(), Gauss_Seidel_forw(), GetBlocks(), GetData(), GetJacobiScaling(), GetRowSums(), InnerProduct(), IsSymmetric(), Jacobi(), Jacobi2(), LoseData(), MaxNorm(), NumNonZeroElems(), operator()(), operator=(), PartMult(), Print(), PrintCSR(), PrintCSR2(), PrintMatlab(), PrintMM(), ScaleRow(), SearchRow(), Set(), SetDiagIdentity(), SparseMatrix(), Symmetrize(), and ~SparseMatrix().

union { ... } SparseMatrix::ColPtr [private]

Referenced by _Get_(), ClearColPtr(), Finalize(), SearchRow(), SetColPtr(), SparseMatrix(), and ~SparseMatrix().

int SparseMatrix::current_row [private]

Definition at line 44 of file sparsemat.hpp.

Referenced by ClearColPtr(), SearchRow(), and SetColPtr().

int* SparseMatrix::I [private]

Arrays for the connectivity information in the CSR storage. I is of size "size+1", J is of size the number of nonzero entries in the Sparse matrix (actually stored I[size])

Definition at line 37 of file sparsemat.hpp.

Referenced by AddMult(), AddMultTranspose(), ClearColPtr(), CountSmallElems(), EliminateRowCol(), EliminateRowColMultipleRHS(), EliminateZeroRows(), Finalize(), Gauss_Seidel_back(), Gauss_Seidel_forw(), GetBlocks(), GetI(), GetJacobiScaling(), GetRowSums(), InnerProduct(), IsSymmetric(), Jacobi(), Jacobi2(), LoseData(), MaxNorm(), NumNonZeroElems(), operator()(), operator=(), PartMult(), Print(), PrintCSR(), PrintCSR2(), PrintMatlab(), PrintMM(), RowSize(), ScaleRow(), SearchRow(), SetColPtr(), SetDiagIdentity(), SparseMatrix(), Symmetrize(), and ~SparseMatrix().