#include <SparseStorage.h>

Inheritance diagram for SparseStorage:

Public Member Functions
	SparseStorage (int m_, int n_, int len_)

	SparseStorage (int m_, int n_, int len_, int krowM_, int jcolM_, double M_, int deleteElts=0, double additiveDiag_=NULL)

void	shiftRows (int row, int shift, int &info)

virtual void	getSize (int &m, int &n)

int	rows ()

int	cols ()

int	length ()

int	numberOfNonZeros ()

virtual void	fromGetDense (int row, int col, double *A, int lda, int rowExtent, int colExtent)

virtual void	fromAddDense (int row, int col, double *A, int lda, int rowExtent, int colExtent)

virtual void	atPutDense (int row, int col, double *A, int lda, int rowExtent, int colExtent)

virtual void	putSparseTriple (int irow[], int len, int jcol[], double A[], int &info)

virtual void	getDiagonal (OoqpVector &vec)

virtual void	setToDiagonal (OoqpVector &vec)

virtual void	ColumnScale (OoqpVector &vec)

virtual void	RowScale (OoqpVector &vec)

virtual void	SymmetricScale (OoqpVector &vec)

virtual void	scalarMult (double num)

virtual void	atPutSpRow (int col, double A[], int lenA, int irowA[], int &info)

virtual void	fromGetSpRow (int row, int col, double A[], int lenA, int irowA[], int &nnz, int rowExtent, int &info)

virtual void	randomize (double alpha, double beta, double *seed)

virtual void	getTransposePat (int row, int col, int rowExtent, int colExtent, int kpat[], int krowM[], int jcolM[])

virtual void	getFromPat (double data[], int n, int kpat[])

virtual void	mult (double beta, double y[], int incy, double alpha, double x[], int incx)

virtual void	transMult (double beta, double y[], int incy, double alpha, double x[], int incx)

virtual void	atPutDiagonal (int idiag, OoqpVector &v)

virtual void	fromGetDiagonal (int idiag, OoqpVector &v)

virtual void	atPutDiagonal (int idiag, double x[], int incx, int extent)

virtual void	writeToStream (std::ostream &out) const

virtual void	symmetrize (int &info)

virtual int *	symmetrize_set (int &info)

virtual void	symmetrize_valonly (double val_lower, int goffIDX)

virtual double	abmaxnorm ()

void	matTransDSymbMultMat (double d, int krowMt, int jcolMt, double dMt, int krowMtM, int jcolMtM, double **dMtM)

void	matTransDMultMat (double d, int krowMt, int jcolMt, double dMt, int krowMtM, int jcolMtM, double *dMtM)

void	matTransDinvMultMat (double d, int krowMt, int jcolMt, double dMt, int krowMtM, int jcolMtM, double *dMtM)

void	transpose (int krowMt, int jcolMt, double *dMt)

void	transpose_withOriIDX (int krowMt, int jcolMt, double Mt, int OriIDX)

void	transpose_withNewIDX (int krowMt, int jcolMt, double Mt, int NewIDX)

void	reduceToLower ()

void	transMultLower (double beta, double y[], double alpha, double x[], int firstrow)

void	transMultMat (double beta, double Y, int ny, int ldy, double alpha, double X, int ldx)

void	transMultMatLower (double Y, int ny, int firstrow, double alpha, double X, int ldx)

void	transMultMatLower (double beta, double Y, int ny, int ldy, double alpha, double X, int ldx, int colStart)

void	fromGetColBlock (int col, double *A, int lda, int colExtent, bool &allzero)

void	fromGetColBlock (int col, double A, int lda, int colExtent, int colSparsity, bool &allzero)

void	dump (const std::string &_filename)

virtual void	copyMtxFromDouble (int copyLength, double *values)

virtual	~SparseStorage ()

virtual void	setAdditiveDiagonal (OoqpVector &v)

virtual void	copyDiagonalVal_From (int idiag, OoqpVector &vvec, bool firstCall, std::map< int, int > &ValIdxMap)

virtual void	copyDiagonalVal_From (int idiag, double x[], int incx, int diagLength, bool firstCall, std::map< int, int > &ValIdxMap)

virtual void	atPutSpRow_CorrectMap (int row, double A[], int lenA, int jcolA[], int &info, std::map< int, int > &ValIdxMap, int const IDXconstant)

virtual void	fromGetSpRow_WithRowStart (int row, int col, double A[], int lenA, int irowA[], int &nnz, int rowExtent, int &info, int &rowStart)

virtual void	fromGetDense_withMap (int row, int col, double *A, int lda, int rowExtent, int colExtent, int const FirstCall, std::map< int, int > &ValIdxMap)

virtual void	shiftRows_CorrectMap (int row, int shift, int &info, std::map< int, int > &ValIdxMap)

Public Member Functions inherited from DoubleStorage
	DoubleStorage ()

virtual	~DoubleStorage ()

Public Member Functions inherited from IotrRefCount
int	refs ()

	IotrRefCount ()

Public Attributes
int	m

int	n

int	len

int *	jcolM

int *	krowM

double *	M

double *	additiveDiag

Static Public Attributes
static int	instances = 0

Static Public Attributes inherited from IotrRefCount
static int	instances = 0

Protected Attributes
int	neverDeleteElts

Additional Inherited Members
Static Public Member Functions inherited from IotrRefCount
static void	release (IotrRefCount **obj)

static void	addRef (IotrRefCount const obj)

Protected Member Functions inherited from IotrRefCount
virtual	~IotrRefCount ()

Detailed Description

A class for managing the matrix elements used by sparse matrices.

Constructor & Destructor Documentation

SparseStorage::SparseStorage	(	int	m_,
		int	n_,
		int	len_
	)

SparseStorage::SparseStorage	(	int	m_,
		int	n_,
		int	len_,
		int *	krowM_,
		int *	jcolM_,
		double *	M_,
		int	deleteElts = `0`,
		double *	additiveDiag_ = `NULL`
	)

SparseStorage::~SparseStorage ( )

virtual

Member Function Documentation

double SparseStorage::abmaxnorm ( )

virtual

void SparseStorage::atPutDense	(	int	row,
		int	col,
		double *	A,
		int	lda,
		int	rowExtent,
		int	colExtent
	)

virtual

Implements DoubleStorage.

void SparseStorage::atPutDiagonal	(	int	idiag,
		OoqpVector &	v
	)

virtual

Implements DoubleStorage.

void SparseStorage::atPutDiagonal	(	int	idiag,
		double	x[],
		int	incx,
		int	extent
	)

virtual

void SparseStorage::atPutSpRow	(	int	col,
		double	A[],
		int	lenA,
		int	irowA[],
		int &	info
	)

virtual

Implements DoubleStorage.

void SparseStorage::atPutSpRow_CorrectMap	(	int	row,
		double	A[],
		int	lenA,
		int	jcolA[],
		int &	info,
		std::map< int, int > &	ValIdxMap,
		int const	IDXconstant
	)

virtual

int SparseStorage::cols ( )

inline

void SparseStorage::ColumnScale ( OoqpVector & vec )

virtual

Implements DoubleStorage.

void SparseStorage::copyDiagonalVal_From	(	int	idiag,
		OoqpVector &	vvec,
		bool	firstCall,
		std::map< int, int > &	ValIdxMap
	)

virtual

Reimplemented from DoubleStorage.

void SparseStorage::copyDiagonalVal_From	(	int	idiag,
		double	x[],
		int	incx,
		int	diagLength,
		bool	firstCall,
		std::map< int, int > &	ValIdxMap
	)

virtual

void SparseStorage::copyMtxFromDouble	(	int	copyLength,
		double *	values
	)

virtual

void SparseStorage::dump ( const std::string & _filename )

void SparseStorage::fromAddDense	(	int	row,
		int	col,
		double *	A,
		int	lda,
		int	rowExtent,
		int	colExtent
	)

virtual

void SparseStorage::fromGetColBlock	(	int	col,
		double *	A,
		int	lda,
		int	colExtent,
		bool &	allzero
	)

void SparseStorage::fromGetColBlock	(	int	col,
		double *	A,
		int	lda,
		int	colExtent,
		int *	colSparsity,
		bool &	allzero
	)

void SparseStorage::fromGetDense	(	int	row,
		int	col,
		double *	A,
		int	lda,
		int	rowExtent,
		int	colExtent
	)

virtual

for( jcurrent++; jcurrent < n; jcurrent++ ) {

Implements DoubleStorage.

void SparseStorage::fromGetDense_withMap	(	int	row,
		int	col,
		double *	A,
		int	lda,
		int	rowExtent,
		int	colExtent,
		int const	FirstCall,
		std::map< int, int > &	ValIdxMap
	)

virtual

for( jcurrent++; jcurrent < n; jcurrent++ ) {

void SparseStorage::fromGetDiagonal	(	int	idiag,
		OoqpVector &	v
	)

virtual

Implements DoubleStorage.

void SparseStorage::fromGetSpRow	(	int	row,
		int	col,
		double	A[],
		int	lenA,
		int	irowA[],
		int &	nnz,
		int	rowExtent,
		int &	info
	)

virtual

Implements DoubleStorage.

void SparseStorage::fromGetSpRow_WithRowStart	(	int	row,
		int	col,
		double	A[],
		int	lenA,
		int	irowA[],
		int &	nnz,
		int	rowExtent,
		int &	info,
		int &	rowStart
	)

virtual

void SparseStorage::getDiagonal ( OoqpVector & vec )

virtual

Implements DoubleStorage.

void SparseStorage::getFromPat	(	double	data[],
		int	n,
		int	kpat[]
	)

virtual

void SparseStorage::getSize	(	int &	m,
		int &	n
	)

virtual

Implements DoubleStorage.

void SparseStorage::getTransposePat	(	int	row,
		int	col,
		int	rowExtent,
		int	colExtent,
		int	kpat[],
		int	krowM[],
		int	jcolM[]
	)

virtual

int SparseStorage::length ( )

inline

void SparseStorage::matTransDinvMultMat	(	double *	d,
		int *	krowMt,
		int *	jcolMt,
		double *	dMt,
		int *	krowMtM,
		int *	jcolMtM,
		double *	dMtM
	)

void SparseStorage::matTransDMultMat	(	double *	d,
		int *	krowMt,
		int *	jcolMt,
		double *	dMt,
		int *	krowMtM,
		int *	jcolMtM,
		double *	dMtM
	)

Numerical multiplication MtM = M^T * D * M where D=diag(d) is a diagonal matrix and M=this. M^T and MtM buffers should be allocated before calling this method by calling method matTransDSymbMultMat.

void SparseStorage::matTransDSymbMultMat	(	double *	d,
		int *	krowMt,
		int *	jcolMt,
		double *	dMt,
		int **	krowMtM,
		int **	jcolMtM,
		double **	dMtM
	)

Computes the sparsity pattern of MtM = M^T * D * M where D=diag(d) is a diagonal matrix and M=this.

Find the nonzero pattern of the product matrix, allocate it and returns it.

Also allocates, builds and returns this^T since it is needed later for numerical multiplication.

void SparseStorage::mult	(	double	beta,
		double	y[],
		int	incy,
		double	alpha,
		double	x[],
		int	incx
	)

virtual

int SparseStorage::numberOfNonZeros ( )

inline

void SparseStorage::putSparseTriple	(	int	irow[],
		int	len,
		int	jcol[],
		double	A[],
		int &	info
	)

virtual

void SparseStorage::randomize	(	double	alpha,
		double	beta,
		double *	seed
	)

virtual

void SparseStorage::reduceToLower ( )

int SparseStorage::rows ( )

inline

void SparseStorage::RowScale ( OoqpVector & vec )

virtual

Implements DoubleStorage.

void SparseStorage::scalarMult ( double num )

virtual

Implements DoubleStorage.

void SparseStorage::setAdditiveDiagonal ( OoqpVector & v )

virtual

void SparseStorage::setToDiagonal ( OoqpVector & vec )

virtual

Implements DoubleStorage.

void SparseStorage::shiftRows	(	int	row,
		int	shift,
		int &	info
	)

void SparseStorage::shiftRows_CorrectMap	(	int	row,
		int	shift,
		int &	info,
		std::map< int, int > &	ValIdxMap
	)

virtual

void SparseStorage::SymmetricScale ( OoqpVector & vec )

virtual

Implements DoubleStorage.

void SparseStorage::symmetrize ( int & info )

virtual

int * SparseStorage::symmetrize_set ( int & info )

virtual

void SparseStorage::symmetrize_valonly	(	double *	val_lower,
		int *	goffIDX
	)

virtual

void SparseStorage::transMult	(	double	beta,
		double	y[],
		int	incy,
		double	alpha,
		double	x[],
		int	incx
	)

virtual

void SparseStorage::transMultLower	(	double	beta,
		double	y[],
		double	alpha,
		double	x[],
		int	firstrow
	)

void SparseStorage::transMultMat	(	double	beta,
		double *	Y,
		int	ny,
		int	ldy,
		double	alpha,
		double *	X,
		int	ldx
	)

void SparseStorage::transMultMatLower	(	double *	Y,
		int	ny,
		int	firstrow,
		double	alpha,
		double *	X,
		int	ldx
	)

void SparseStorage::transMultMatLower	(	double	beta,
		double *	Y,
		int	ny,
		int	ldy,
		double	alpha,
		double *	X,
		int	ldx,
		int	colStart
	)

Y <- alpha* M^T X + beta*Y, where M is this Special update function, computes only the elements in Y that are lower triangular elements in a larger matrix that contains Y (see impl file for more details)

void SparseStorage::transpose	(	int *	krowMt,
		int *	jcolMt,
		double *	dMt
	)

Builds the transpose: Mt = this^T

void SparseStorage::transpose_withNewIDX	(	int *	krowMt,
		int *	jcolMt,
		double *	Mt,
		int *	NewIDX
	)

Builds the transpose: Mt = this^T, with index of new matrix : ie goff from 13 to 7, NewIDX[13]=7

void SparseStorage::transpose_withOriIDX	(	int *	krowMt,
		int *	jcolMt,
		double *	Mt,
		int *	OriIDX
	)

Builds the transpose: Mt = this^T, with index of original matrix: ie goff from 13 to 7, OriIDX[7]=13

void SparseStorage::writeToStream ( std::ostream & out ) const

virtual

Member Data Documentation

double* SparseStorage::additiveDiag

int SparseStorage::instances = 0

static

int* SparseStorage::jcolM

int* SparseStorage::krowM

int SparseStorage::len

int SparseStorage::m

double* SparseStorage::M

int SparseStorage::n

int SparseStorage::neverDeleteElts

protected

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

/home/michel/git/PIPS/PIPS-NLP/Core/SparseLinearAlgebra/SparseStorage.h
/home/michel/git/PIPS/PIPS-NLP/Core/SparseLinearAlgebra/SparseStorage.C

Public Member Functions

Public Attributes

Static Public Attributes

Protected Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation