Abstract base class for interfacing tailored matrix-vector operations. More...

#include <Matrices.hpp>

Inheritance diagram for Matrix:

[legend]

Public Member Functions
virtual returnValue	addToDiag (real_t alpha)=0

virtual returnValue	addToDiag (real_t alpha)=0

virtual real_t	diag (int i) const =0

virtual real_t	diag (int_t i) const =0

void	doFreeMemory ()

void	doFreeMemory ()

void	doNotFreeMemory ()

void	doNotFreeMemory ()

virtual Matrix *	duplicate () const =0

virtual Matrix *	duplicate () const =0

virtual void	free ()=0

virtual void	free ()=0

virtual real_t *	full () const =0

virtual returnValue	getCol (int cNum, const Indexlist const irows, real_t alpha, real_t col) const =0

virtual returnValue	getCol (int_t cNum, const Indexlist const irows, real_t alpha, real_t col) const =0

virtual real_t	getNorm (int_t type=2) const =0

virtual returnValue	getRow (int rNum, const Indexlist const icols, real_t alpha, real_t row) const =0

virtual returnValue	getRow (int_t rNum, const Indexlist const icols, real_t alpha, real_t row) const =0

virtual real_t	getRowNorm (int_t rNum, int_t type=2) const =0

virtual returnValue	getSparseSubmatrix (const Indexlist const irows, const Indexlist const icols, int_t rowoffset, int_t coloffset, int_t &numNonzeros, int_t irn, int_t jcn, real_t *avals, BooleanType only_lower_triangular=BT_FALSE) const

virtual returnValue	getSparseSubmatrix (const Indexlist const irows, int_t idx_icol, int_t rowoffset, int_t coloffset, int_t &numNonzeros, int_t irn, int_t jcn, real_t avals, BooleanType only_lower_triangular=BT_FALSE) const

virtual returnValue	getSparseSubmatrix (int_t idx_row, const Indexlist const icols, int_t rowoffset, int_t coloffset, int_t &numNonzeros, int_t irn, int_t jcn, real_t avals, BooleanType only_lower_triangular=BT_FALSE) const

virtual returnValue	getSparseSubmatrix (int_t irowsLength, const int_t const irowsNumber, int_t icolsLength, const int_t const icolsNumber, int_t rowoffset, int_t coloffset, int_t &numNonzeros, int_t irn, int_t jcn, real_t *avals, BooleanType only_lower_triangular=BT_FALSE) const =0

virtual BooleanType	isDiag () const =0

virtual BooleanType	isDiag () const =0

	Matrix ()

	Matrix ()

BooleanType	needToFreeMemory () const

BooleanType	needToFreeMemory () const

virtual returnValue	print () const =0

virtual returnValue	print (const char *name=0) const =0

virtual returnValue	times (int xN, real_t alpha, const real_t x, int xLD, real_t beta, real_t y, int yLD) const =0

virtual returnValue	times (const Indexlist const irows, const Indexlist const icols, int xN, real_t alpha, const real_t x, int xLD, real_t beta, real_t y, int yLD, BooleanType yCompr=BT_TRUE) const =0

virtual returnValue	times (int_t xN, real_t alpha, const real_t x, int_t xLD, real_t beta, real_t y, int_t yLD) const =0

virtual returnValue	times (const Indexlist const irows, const Indexlist const icols, int_t xN, real_t alpha, const real_t x, int_t xLD, real_t beta, real_t y, int_t yLD, BooleanType yCompr=BT_TRUE) const =0

virtual returnValue	transTimes (int xN, real_t alpha, const real_t x, int xLD, real_t beta, real_t y, int yLD) const =0

virtual returnValue	transTimes (const Indexlist const irows, const Indexlist const icols, int xN, real_t alpha, const real_t x, int xLD, real_t beta, real_t y, int yLD) const =0

virtual returnValue	transTimes (int_t xN, real_t alpha, const real_t x, int_t xLD, real_t beta, real_t y, int_t yLD) const =0

virtual returnValue	transTimes (const Indexlist const irows, const Indexlist const icols, int_t xN, real_t alpha, const real_t x, int_t xLD, real_t beta, real_t y, int_t yLD) const =0

virtual returnValue	writeToFile (FILE output_file, const char prefix) const =0

virtual	~Matrix ()

virtual	~Matrix ()

Protected Attributes
BooleanType	freeMemory

Detailed Description

Abstract base class for interfacing tailored matrix-vector operations.

Abstract base matrix class. Supplies interface to matrix vector products, including products with submatrices given by (ordered) working set index lists (see SubjectTo).

\author Andreas Potschka, Christian Kirches, Hans Joachim Ferreau
\version 3.0beta
\date 2011

Abstract base matrix class. Supplies interface to matrix vector products, including products with submatrices given by (ordered) working set index lists (see SubjectTo).

\author Andreas Potschka, Christian Kirches, Hans Joachim Ferreau
\version 3.2
\date 2011-2015

Definition at line 112 of file qpOASES-3.0beta/include/qpOASES/Matrices.hpp.

Constructor & Destructor Documentation

Matrix::Matrix ( )

inline

Default constructor.

Definition at line 116 of file qpOASES-3.0beta/include/qpOASES/Matrices.hpp.

virtual Matrix::~Matrix ( )

inlinevirtual

Destructor.

Definition at line 119 of file qpOASES-3.0beta/include/qpOASES/Matrices.hpp.

Matrix::Matrix ( )

inline

Default constructor.

Definition at line 120 of file qpOASES-3.2.0/include/qpOASES/Matrices.hpp.

virtual Matrix::~Matrix ( )

inlinevirtual

Destructor.

Definition at line 123 of file qpOASES-3.2.0/include/qpOASES/Matrices.hpp.

Member Function Documentation

virtual returnValue Matrix::addToDiag ( real_t alpha )

pure virtual

Adds given offset to diagonal of matrix.

Returns: SUCCESSFUL_RETURN
RET_NO_DIAGONAL_AVAILABLE

Parameters

alpha Diagonal offset.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual returnValue Matrix::addToDiag ( real_t alpha )

pure virtual

Adds given offset to diagonal of matrix.

Returns: SUCCESSFUL_RETURN
RET_NO_DIAGONAL_AVAILABLE

Parameters

alpha Diagonal offset.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual real_t Matrix::diag ( int i ) const

pure virtual

Returns i-th diagonal entry.

Returns: i-th diagonal entry

Parameters

i Index.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual real_t Matrix::diag ( int_t i ) const

pure virtual

Returns i-th diagonal entry.

Returns: i-th diagonal entry

Parameters

i Index.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

void Matrix::doFreeMemory ( )

inline

Enables de-allocation of internal memory.

Definition at line 224 of file qpOASES-3.0beta/include/qpOASES/Matrices.hpp.

void Matrix::doFreeMemory ( )

inline

Enables de-allocation of internal memory.

Definition at line 321 of file qpOASES-3.2.0/include/qpOASES/Matrices.hpp.

void Matrix::doNotFreeMemory ( )

inline

Disables de-allocation of internal memory.

Definition at line 227 of file qpOASES-3.0beta/include/qpOASES/Matrices.hpp.

void Matrix::doNotFreeMemory ( )

inline

Disables de-allocation of internal memory.

Definition at line 324 of file qpOASES-3.2.0/include/qpOASES/Matrices.hpp.

virtual Matrix* Matrix::duplicate ( ) const

pure virtual

Returns a deep-copy of the Matrix object.

Returns: Deep-copy of Matrix object

Implemented in SymSparseMat, SparseMatrixRow, SparseMatrix, SymSparseMat, SymDenseMat, SparseMatrix, SymDenseMat, DenseMatrix, and DenseMatrix.

virtual Matrix* Matrix::duplicate ( ) const

pure virtual

Returns a deep-copy of the Matrix object.

Returns: Deep-copy of Matrix object

Implemented in SymSparseMat, SparseMatrixRow, SparseMatrix, SymSparseMat, SymDenseMat, SparseMatrix, SymDenseMat, DenseMatrix, and DenseMatrix.

virtual void Matrix::free ( )

pure virtual

Frees all internal memory.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual void Matrix::free ( )

pure virtual

Frees all internal memory.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual real_t* Matrix::full ( ) const

pure virtual

Allocates and creates dense matrix array in row major format.

Note: Calling function has to free allocated memory!

Returns: Pointer to matrix array.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, and DenseMatrix.

virtual returnValue Matrix::getCol	(	int	cNum,
		const Indexlist *const	irows,
		real_t	alpha,
		real_t *	col
	)		const

pure virtual

Retrieve indexed entries of matrix column multiplied by alpha.

Returns: SUCCESSFUL_RETURN

Parameters

cNum	Column number.
irows	Index list specifying rows.
alpha	Scalar factor.
col	Output column vector.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual returnValue Matrix::getCol	(	int_t	cNum,
		const Indexlist *const	irows,
		real_t	alpha,
		real_t *	col
	)		const

pure virtual

Retrieve indexed entries of matrix column multiplied by alpha.

Returns: SUCCESSFUL_RETURN

Parameters

cNum	Column number.
irows	Index list specifying rows.
alpha	Scalar factor.
col	Output column vector.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual real_t Matrix::getNorm ( int_t type = 2 ) const

pure virtual

Get the N-norm of the matrix

Returns: N-norm of the matrix

Parameters

type	Norm type, 1: one-norm, 2: Euclidean norm.

Implemented in SparseMatrixRow, SparseMatrix, and DenseMatrix.

virtual returnValue Matrix::getRow	(	int	rNum,
		const Indexlist *const	icols,
		real_t	alpha,
		real_t *	row
	)		const

pure virtual

Retrieve indexed entries of matrix row multiplied by alpha.

Returns: SUCCESSFUL_RETURN

Parameters

rNum	Row number.
icols	Index list specifying columns.
alpha	Scalar factor.
row	Output row vector.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual returnValue Matrix::getRow	(	int_t	rNum,
		const Indexlist *const	icols,
		real_t	alpha,
		real_t *	row
	)		const

pure virtual

Retrieve indexed entries of matrix row multiplied by alpha.

Returns: SUCCESSFUL_RETURN

Parameters

rNum	Row number.
icols	Index list specifying columns.
alpha	Scalar factor.
row	Output row vector.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual real_t Matrix::getRowNorm	(	int_t	rNum,
		int_t	type = `2`
	)		const

pure virtual

Get the N-norm of a row

Returns: N-norm of row rNum

Parameters

rNum	Row number.
type	Norm type, 1: one-norm, 2: Euclidean norm.

Implemented in SparseMatrixRow, SparseMatrix, and DenseMatrix.

BEGIN_NAMESPACE_QPOASES returnValue Matrix::getSparseSubmatrix	(	const Indexlist *const	irows,
		const Indexlist *const	icols,
		int_t	rowoffset,
		int_t	coloffset,
		int_t &	numNonzeros,
		int_t *	irn,
		int_t *	jcn,
		real_t *	avals,
		BooleanType	only_lower_triangular = `BT_FALSE`
	)		const

virtual

Retrieve entries of submatrix in Harwell-Boeing sparse format. If irn, jcn, and avals are null, this only counts the number of nonzeros. Otherwise, numNonzeros containts the size of irn, jcn, and avals on entry, and the written number of entries on return.

Returns: SUCCESSFUL_RETURN

Parameters

irows	Index list specifying rows.
icols	Index list specifying columns.
rowoffset	Offset for row entries.
coloffset	Offset for row entries.
numNonzeros	Number of nonzeros in submatrix.
irn	Row position of entries (as position in irows) plus rowoffset.
jcn	Column position of entries (as position in irows) plus coloffset.
avals	Numerical values of the entries.
only_lower_triangular	if true, only the lower triangular portion is returned. This can only be true for symmetric matrices and if irows==jcols.

Definition at line 46 of file qpOASES-3.2.0/src/Matrices.cpp.

returnValue Matrix::getSparseSubmatrix	(	const Indexlist *const	irows,
		int_t	idx_icol,
		int_t	rowoffset,
		int_t	coloffset,
		int_t &	numNonzeros,
		int_t *	irn,
		int_t *	jcn,
		real_t *	avals,
		BooleanType	only_lower_triangular = `BT_FALSE`
	)		const

virtual

Retrieve entries of submatrix in Harwell-Boeing sparse format. If irn, jcn, and avals are null, this only counts the number of nonzeros. Otherwise, numNonzeros containts the size of irn, jcn, and avals on entry, and the written number of entries on return. This version retrieves one column.

Returns: SUCCESSFUL_RETURN

Parameters

irows	Index list specifying rows.
idx_icol	Index list specifying columns.
rowoffset	Offset for row entries.
coloffset	Offset for row entries.
numNonzeros	Number of nonzeros in submatrix.
irn	Row position of entries (as position in irows) plus rowoffset.
jcn	Column position of entries (as position in irows) plus coloffset.
avals	Numerical values of the entries.
only_lower_triangular	if true, only the lower triangular portion is returned. This can only be true for symmetric matrices and if irows==jcols.

Definition at line 65 of file qpOASES-3.2.0/src/Matrices.cpp.

returnValue Matrix::getSparseSubmatrix	(	int_t	idx_row,
		const Indexlist *const	icols,
		int_t	rowoffset,
		int_t	coloffset,
		int_t &	numNonzeros,
		int_t *	irn,
		int_t *	jcn,
		real_t *	avals,
		BooleanType	only_lower_triangular = `BT_FALSE`
	)		const

virtual

Retrieve entries of submatrix in Harwell-Boeing sparse format. If irn, jcn, and avals are null, this only counts the number of nonzeros. Otherwise, numNonzeros containts the size of irn, jcn, and avals on entry, and the written number of entries on return. This version retrieves one row.

Returns: SUCCESSFUL_RETURN

Parameters

idx_row	Row number.
icols	Index list specifying columns.
rowoffset	Offset for row entries.
coloffset	Offset for row entries.
numNonzeros	Number of nonzeros in submatrix.
irn	Row position of entries (as position in irows) plus rowoffset.
jcn	Column position of entries (as position in irows) plus coloffset.
avals	Numerical values of the entries.
only_lower_triangular	if true, only the lower triangular portion is returned. This can only be true for symmetric matrices and if irows==jcols.

Definition at line 82 of file qpOASES-3.2.0/src/Matrices.cpp.

virtual returnValue Matrix::getSparseSubmatrix	(	int_t	irowsLength,
		const int_t *const	irowsNumber,
		int_t	icolsLength,
		const int_t *const	icolsNumber,
		int_t	rowoffset,
		int_t	coloffset,
		int_t &	numNonzeros,
		int_t *	irn,
		int_t *	jcn,
		real_t *	avals,
		BooleanType	only_lower_triangular = `BT_FALSE`
	)		const

pure virtual

Retrieve entries of submatrix in Harwell-Boeing sparse format. If irn, jcn, and avals are null, this only counts the number of nonzeros. Otherwise, numNonzeros containts the size of irn, jcn, and avals on entry, and the written number of entries on return.

Returns: SUCCESSFUL_RETURN

Parameters

irowsLength	Number of rows.
irowsNumber	Array with row numbers.
icolsLength	Number of columns.
icolsNumber	Array with column numbers.
rowoffset	Offset for row entries.
coloffset	Offset for row entries.
numNonzeros	Number of nonzeros in submatrix.
irn	Row position of entries (as position in irows) plus rowoffset.
jcn	Column position of entries (as position in irows) plus coloffset.
avals	Numerical values of the entries.
only_lower_triangular	if true, only the lower triangular portion is returned. This can only be true for symmetric matrices and if irows==jcols.

Implemented in SparseMatrixRow, SparseMatrix, and DenseMatrix.

virtual BooleanType Matrix::isDiag ( ) const

pure virtual

Checks whether matrix is square and diagonal.

Returns: BT_TRUE iff matrix is square and diagonal;
BT_FALSE otherwise.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual BooleanType Matrix::isDiag ( ) const

pure virtual

Checks whether matrix is square and diagonal.

Returns: BT_TRUE iff matrix is square and diagonal;
BT_FALSE otherwise.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

BooleanType Matrix::needToFreeMemory ( ) const

inline

Returns whether internal memory needs to be de-allocated.

Returns: BT_TRUE iff internal memory needs to be de-allocated,
BT_FALSE otherwise

Definition at line 221 of file qpOASES-3.0beta/include/qpOASES/Matrices.hpp.

BooleanType Matrix::needToFreeMemory ( ) const

inline

Returns whether internal memory needs to be de-allocated.

Returns: BT_TRUE iff internal memory needs to be de-allocated,
BT_FALSE otherwise

Definition at line 318 of file qpOASES-3.2.0/include/qpOASES/Matrices.hpp.

virtual returnValue Matrix::print ( ) const

pure virtual

Prints matrix to screen.

Returns: SUCCESSFUL_RETURN
RET_NOT_YET_IMPLEMENTED

Implemented in SparseMatrix, and DenseMatrix.

virtual returnValue Matrix::print ( const char * name = 0 ) const

pure virtual

Prints matrix to screen.

Returns: SUCCESSFUL_RETURN

Parameters

name	Name of matrix.

Implemented in SparseMatrixRow, SparseMatrix, and DenseMatrix.

virtual returnValue Matrix::times	(	int	xN,
		real_t	alpha,
		const real_t *	x,
		int	xLD,
		real_t	beta,
		real_t *	y,
		int	yLD
	)		const

pure virtual

Evaluate Y=alpha*A*X + beta*Y.

Returns: SUCCESSFUL_RETURN

Parameters

xN	Number of vectors to multiply.
alpha	Scalar factor for matrix vector product.
x	Input vector to be multiplied.
xLD	Leading dimension of input x.
beta	Scalar factor for y.
y	Output vector of results.
yLD	Leading dimension of output y.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual returnValue Matrix::times	(	const Indexlist *const	irows,
		const Indexlist *const	icols,
		int	xN,
		real_t	alpha,
		const real_t *	x,
		int	xLD,
		real_t	beta,
		real_t *	y,
		int	yLD,
		BooleanType	yCompr = `BT_TRUE`
	)		const

pure virtual

Evaluate matrix vector product with submatrix given by Indexlist.

Returns: SUCCESSFUL_RETURN

Parameters

irows	Index list specifying rows.
icols	Index list specifying columns.
xN	Number of vectors to multiply.
alpha	Scalar factor for matrix vector product.
x	Input vector to be multiplied.
xLD	Leading dimension of input x.
beta	Scalar factor for y.
y	Output vector of results.
yLD	Leading dimension of output y.
yCompr	Compressed storage for y.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual returnValue Matrix::times	(	int_t	xN,
		real_t	alpha,
		const real_t *	x,
		int_t	xLD,
		real_t	beta,
		real_t *	y,
		int_t	yLD
	)		const

pure virtual

Evaluate Y=alpha*A*X + beta*Y.

Returns: SUCCESSFUL_RETURN

Parameters

xN	Number of vectors to multiply.
alpha	Scalar factor for matrix vector product.
x	Input vector to be multiplied.
xLD	Leading dimension of input x.
beta	Scalar factor for y.
y	Output vector of results.
yLD	Leading dimension of output y.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual returnValue Matrix::times	(	const Indexlist *const	irows,
		const Indexlist *const	icols,
		int_t	xN,
		real_t	alpha,
		const real_t *	x,
		int_t	xLD,
		real_t	beta,
		real_t *	y,
		int_t	yLD,
		BooleanType	yCompr = `BT_TRUE`
	)		const

pure virtual

Evaluate matrix vector product with submatrix given by Indexlist.

Returns: SUCCESSFUL_RETURN

Parameters

irows	Index list specifying rows.
icols	Index list specifying columns.
xN	Number of vectors to multiply.
alpha	Scalar factor for matrix vector product.
x	Input vector to be multiplied.
xLD	Leading dimension of input x.
beta	Scalar factor for y.
y	Output vector of results.
yLD	Leading dimension of output y.
yCompr	Compressed storage for y.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual returnValue Matrix::transTimes	(	int	xN,
		real_t	alpha,
		const real_t *	x,
		int	xLD,
		real_t	beta,
		real_t *	y,
		int	yLD
	)		const

pure virtual

Evaluate Y=alpha*A'*X + beta*Y.

Returns: SUCCESSFUL_RETURN

Parameters

xN	Number of vectors to multiply.
alpha	Scalar factor for matrix vector product.
x	Input vector to be multiplied.
xLD	Leading dimension of input x.
beta	Scalar factor for y.
y	Output vector of results.
yLD	Leading dimension of output y.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual returnValue Matrix::transTimes	(	const Indexlist *const	irows,
		const Indexlist *const	icols,
		int	xN,
		real_t	alpha,
		const real_t *	x,
		int	xLD,
		real_t	beta,
		real_t *	y,
		int	yLD
	)		const

pure virtual

Evaluate matrix transpose vector product.

Returns: SUCCESSFUL_RETURN

Parameters

irows	Index list specifying rows.
icols	Index list specifying columns.
xN	Number of vectors to multiply.
alpha	Scalar factor for matrix vector product.
x	Input vector to be multiplied.
xLD	Leading dimension of input x.
beta	Scalar factor for y.
y	Output vector of results.
yLD	Leading dimension of output y.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual returnValue Matrix::transTimes	(	int_t	xN,
		real_t	alpha,
		const real_t *	x,
		int_t	xLD,
		real_t	beta,
		real_t *	y,
		int_t	yLD
	)		const

pure virtual

Evaluate Y=alpha*A'*X + beta*Y.

Returns: SUCCESSFUL_RETURN

Parameters

xN	Number of vectors to multiply.
alpha	Scalar factor for matrix vector product.
x	Input vector to be multiplied.
xLD	Leading dimension of input x.
beta	Scalar factor for y.
y	Output vector of results.
yLD	Leading dimension of output y.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual returnValue Matrix::transTimes	(	const Indexlist *const	irows,
		const Indexlist *const	icols,
		int_t	xN,
		real_t	alpha,
		const real_t *	x,
		int_t	xLD,
		real_t	beta,
		real_t *	y,
		int_t	yLD
	)		const

pure virtual

Evaluate matrix transpose vector product.

Returns: SUCCESSFUL_RETURN

Parameters

irows	Index list specifying rows.
icols	Index list specifying columns.
xN	Number of vectors to multiply.
alpha	Scalar factor for matrix vector product.
x	Input vector to be multiplied.
xLD	Leading dimension of input x.
beta	Scalar factor for y.
y	Output vector of results.
yLD	Leading dimension of output y.

Implemented in SparseMatrixRow, SparseMatrix, SparseMatrix, DenseMatrix, and DenseMatrix.

virtual returnValue Matrix::writeToFile	(	FILE *	output_file,
		const char *	prefix
	)		const

pure virtual

Write matrix to file.

Returns: SUCCESSFUL_RETURN

Implemented in SparseMatrixRow, SparseMatrix, and DenseMatrix.

Member Data Documentation

BooleanType Matrix::freeMemory

protected

Indicating whether internal memory needs to be de-allocated.

Definition at line 227 of file qpOASES-3.0beta/include/qpOASES/Matrices.hpp.

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

Public Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation