#include <EigenBaseSparseMatrix.h>

Inheritance diagram for sofa::linearalgebra::EigenBaseSparseMatrix< TReal >:

Detailed Description

template<class TReal>
class sofa::linearalgebra::EigenBaseSparseMatrix< TReal >

Sparse matrix based on the Eigen library.

An Eigen::SparseMatrix<Real, RowMajor> matrix is used to store the data in Compressed Row Storage mode. This matrix can not be accessed randomly. Two access modes are implemented.

The first access mode consists in inserting entries in increasing row, increasing column order. Method beginRow(Index index) must be called before any entry can be appended to row i.

Warning: beginRow must be called even for empty rows Then insertBack(i,j,value) must be used in for increasing j. There is no need to explicitly end a row. Finally, method compress() must be called after the last entry has been inserted. This is the most efficient access mode.

The second access mode is randow access, but you access an auxiliary matrix. Method add is used to add a value at a given location. Method compress() is then used to transfer this data to the compressed matrix. There is no way to replace an entry, you can only add.

Rows, columns, or the full matrix can be set to zero using the clear* methods.

Public Attributes
CompressedMatrix	compressedMatrix
	the compressed matrix More...

Protected Attributes
SimplicialCholesky	cholesky
	used to factorize the matrix and solve systems using Cholesky method, for symmetric positive definite matrices only. More...

Public Member Functions
	EigenBaseSparseMatrix (Index nbRow=0, Index nbCol=0)

	EigenBaseSparseMatrix (const ThisMatrix &m)
	copy constructor More...

void	operator= (const ThisMatrix &m)
	copy operator More...

void	set (Index i, Index j, double v) override
	Write the value of the element at row i, column j (using 0-based indices) More...

void	setIdentity ()

void	add (Index row, Index col, double value) override
	Schedule the addition of the value at the given place. Scheduled additions must be finalized using function compress(). More...

void	beginRow (Index index)

void	insertBack (Index row, Index col, Real value)

Real &	coeffRef (Index i, Index j)
	Return a reference to the given entry in the compressed matrix.There can (must ?) be a value at this place already. Efficient only if the it is at the last place of the compressed matrix. More...

void	copy (const EigenBaseSparseMatrix &m, unsigned nbCol, unsigned shift)

void	resize (Index nbRow, Index nbCol) override
	Resize the matrix without preserving the data (the matrix is set to zero) More...

Index	rowSize (void) const override
	number of rows More...

Index	colSize (void) const override
	number of columns More...

void	reserve (typename CompressedMatrix::Index reserveSize)

SReal	element (Index i, Index j) const override
	Read the value of the element at row i, column j (using 0-based indices) More...

void	compress () override
	Add the values from the scheduled list, and clears the schedule list. More...

Index *	getRowBegin ()

Index *	getColsIndex ()

Real *	getColsValue ()

void	clearRow (Index i) override
	Set all the entries of a row to 0. More...

void	clearRows (Index imin, Index imax) override
	Set all the entries of rows imin to imax-1 to 0. More...

void	clearCol (Index col) override
	Clears the all the entries of column imin to column imax-1. Not efficient ! More...

void	clearCols (Index imin, Index imax) override
	Set all the entries of column i and of row i to 0. Not efficient ! More...

void	clearRowCol (Index i) override
	Clears all the entries of rows imin to imax-1 and columns imin to imax-1. More...

void	clearRowsCols (Index imin, Index imax) override
	Clears all the values in rows imin to imax-1 and columns imin to imax-1. More...

void	clear () override
	Set all values to 0, by resizing to the same size. More...

void	mult (VectorEigen &result, const VectorEigen &data)
	Matrix-vector product. More...

void	mult_MT (VectorEigen &result, const VectorEigen &data)
	Matrix-vector product openmp multithreaded. More...

template<class V1 , class V2 >
void	multVector (V1 &output, const V2 &input)
	Matrix-Vector product (dense vector with contiguous memory layout) More...

template<class V >
V	operator* (const V &input)
	Matrix-Vector product (dense vector with contiguous memory layout) More...

bool	choleskyDecompose ()
	Try to compute the LDLT decomposition, and return true if success. The matrix is unchanged. More...

void	choleskySolve (VectorEigen &x, const VectorEigen &b) const
	Solve Ax=b, where A is this matrix. WARNING: ldltDecompose() must be called first. x and b can be the same vector. More...

void	addToBaseMatrix (BaseMatrix *matrix, SReal factor, Index offset) const
	add this EigenBaseSparseMatrix to a BaseMatrix at the offset and multiplied by factor More...

void	mul (EigenBaseSparseMatrix< Real > &res, const EigenBaseSparseMatrix< Real > &rhs) const

void	mul_MT (EigenBaseSparseMatrix< Real > &res, const EigenBaseSparseMatrix< Real > &rhs) const

void	mul (Eigen::Matrix< Real, Eigen::Dynamic, Eigen::Dynamic > &res, const Eigen::Matrix< Real, Eigen::Dynamic, Eigen::Dynamic > &rhs)
	Sparse x Dense Matrix product. More...

void	mul_MT (Eigen::Matrix< Real, Eigen::Dynamic, Eigen::Dynamic > &res, const Eigen::Matrix< Real, Eigen::Dynamic, Eigen::Dynamic > &rhs)
	Sparse x Dense Matrix product openmp multithreaded. More...

const char *	Name ()

const char *	Name ()

Public Member Functions inherited from sofa::linearalgebra::BaseMatrix
	BaseMatrix ()

virtual	~BaseMatrix ()

Index	rows (void) const
	Number of rows (Eigen-compatible API) More...

Index	cols (void) const
	Number of columns (Eigen-compatible API) More...

SReal	operator() (Index i, Index j) const
	Read the value of the element at row i, column j (using 0-based indices). Eigen-compatible API. More...

virtual void	add (Index row, Index col, const type::Mat3x3d &_M)
	Adding values from a 3x3d matrix. This function may be overload to obtain better performances. More...

virtual void	add (Index row, Index col, const type::Mat3x3f &_M)
	Adding values from a 3x3f matrix. This function may be overload to obtain better performances. More...

virtual void	add (Index row, Index col, const type::Mat2x2d &_M)
	Adding values from a 2x2d matrix. This function may be overload to obtain better performances. More...

virtual void	add (Index row, Index col, const type::Mat2x2f &_M)
	Adding values from a 2x2f matrix. This function may be overload to obtain better performances. More...

virtual void	add (Index row, Index col, const type::Mat6x6d &_M)
	Adding values from a 6x6d matrix. This function may be overload to obtain better performances. More...

virtual void	add (Index row, Index col, const type::Mat6x6f &_M)
	Adding values from a 6x6f matrix. This function may be overload to obtain better performances. More...

virtual void	clear (Index i, Index j)

virtual void	opMulV (linearalgebra::BaseVector result, const linearalgebra::BaseVector v) const
	Multiply the matrix by vector v and put the result in vector result. More...

virtual void	opMulV (float result, const float v) const
	Multiply the matrix by float vector v and put the result in vector result. More...

virtual void	opMulV (double result, const double v) const
	Multiply the matrix by double vector v and put the result in vector result. More...

virtual void	opPMulV (linearalgebra::BaseVector result, const linearalgebra::BaseVector v) const
	Multiply the matrix by vector v and add the result in vector result. More...

virtual void	opPMulV (float result, const float v) const
	Multiply the matrix by float vector v and add the result in vector result. More...

virtual void	opPMulV (double result, const double v) const
	Multiply the matrix by double vector v and add the result in vector result. More...

virtual void	opMulTV (linearalgebra::BaseVector result, const linearalgebra::BaseVector v) const
	Multiply the transposed matrix by vector v and put the result in vector result. More...

virtual void	opMulTV (float result, const float v) const
	Multiply the transposed matrix by float vector v and put the result in vector result. More...

virtual void	opMulTV (double result, const double v) const
	Multiply the transposed matrix by double vector v and put the result in vector result. More...

virtual void	opPMulTV (linearalgebra::BaseVector result, const linearalgebra::BaseVector v) const
	Multiply the transposed matrix by vector v and add the result in vector result. More...

virtual void	opPMulTV (float result, const float v) const
	Multiply the transposed matrix by float vector v and add the result in vector result. More...

virtual void	opPMulTV (double result, const double v) const
	Multiply the transposed matrix by double vector v and add the result in vector result. More...

virtual void	opMulTM (BaseMatrix result, BaseMatrix m) const
	Multiply the transposed matrix by matrix m and store the result in matrix result. More...

virtual void	opAddM (linearalgebra::BaseMatrix *m, double fact) const
	Subtract the matrix to the m matrix and strore the result in m. More...

virtual void	opAddMT (linearalgebra::BaseMatrix *m, double fact) const
	Subtract the transposed matrix to the m matrix and strore the result in m. More...

virtual ElementType	getElementType () const

virtual std::size_t	getElementSize () const

virtual MatrixCategory	getCategory () const

virtual Index	getBlockRows () const

virtual Index	getBlockCols () const

virtual Index	bRowSize () const

virtual Index	bColSize () const

virtual Index	getBandWidth () const

bool	isDiagonal () const

bool	isBlockDiagonal () const

bool	isBand () const

bool	isSparse () const

virtual BlockConstAccessor	blocGet (Index i, Index j) const
	Get read access to a block. More...

virtual BlockAccessor	blocGetW (Index i, Index j)
	Get write access to a block. More...

virtual BlockAccessor	blocCreate (Index i, Index j)
	Get write access to a block, possibly creating it. More...

template<class T >
const T *	blocElements (Index i, Index j, T *buffer) const
	Shortcut for blocGet(i,j).elements(buffer) More...

template<class T >
void	blocSet (Index i, Index j, const T *buffer)
	Shortcut for blocCreate(i,j).set(buffer) More...

template<class T >
void	blocAdd (Index i, Index j, const T *buffer)
	Shortcut for blocCreate(i,j).add(buffer) More...

virtual ColBlockConstIterator	bRowBegin (Index ib) const
	Get the iterator corresponding to the beginning of the given row of blocks. More...

virtual ColBlockConstIterator	bRowEnd (Index ib) const
	Get the iterator corresponding to the end of the given row of blocks. More...

virtual std::pair< ColBlockConstIterator, ColBlockConstIterator >	bRowRange (Index ib) const
	Get the iterators corresponding to the beginning and end of the given row of blocks. More...

virtual RowBlockConstIterator	bRowsBegin () const
	Get the iterator corresponding to the beginning of the rows of blocks. More...

virtual RowBlockConstIterator	bRowsEnd () const
	Get the iterator corresponding to the end of the rows of blocks. More...

virtual std::pair< RowBlockConstIterator, RowBlockConstIterator >	bRowsRange () const
	Get the iterators corresponding to the beginning and end of the given row of blocks. More...

Static Public Member Functions
static const char *	Name ()

Additional Inherited Members
Protected Member Functions inherited from sofa::linearalgebra::BaseMatrix
virtual void	bAccessorDelete (const InternalBlockAccessor *) const

virtual void	bAccessorCopy (InternalBlockAccessor *) const

virtual SReal	bAccessorElement (const InternalBlockAccessor *b, Index i, Index j) const

virtual void	bAccessorSet (InternalBlockAccessor *b, Index i, Index j, double v)

virtual void	bAccessorAdd (InternalBlockAccessor *b, Index i, Index j, double v)

template<class T >
const T *	bAccessorElementsDefaultImpl (const InternalBlockAccessor b, T buffer) const

virtual const float *	bAccessorElements (const InternalBlockAccessor b, float buffer) const

virtual const double *	bAccessorElements (const InternalBlockAccessor b, double buffer) const

virtual const int *	bAccessorElements (const InternalBlockAccessor b, int buffer) const

template<class T >
void	bAccessorSetDefaultImpl (InternalBlockAccessor b, const T buffer)

virtual void	bAccessorSet (InternalBlockAccessor b, const float buffer)

virtual void	bAccessorSet (InternalBlockAccessor b, const double buffer)

virtual void	bAccessorSet (InternalBlockAccessor b, const int buffer)

template<class T >
void	bAccessorAddDefaultImpl (InternalBlockAccessor b, const T buffer)

virtual void	bAccessorAdd (InternalBlockAccessor b, const float buffer)

virtual void	bAccessorAdd (InternalBlockAccessor b, const double buffer)

virtual void	bAccessorAdd (InternalBlockAccessor b, const int buffer)

template<class T >
T *	bAccessorPrepareAddDefaultImpl (InternalBlockAccessor , T buffer)

virtual float *	bAccessorPrepareAdd (InternalBlockAccessor b, float buffer)

virtual double *	bAccessorPrepareAdd (InternalBlockAccessor b, double buffer)

virtual int *	bAccessorPrepareAdd (InternalBlockAccessor b, int buffer)

virtual void	bAccessorFinishAdd (InternalBlockAccessor b, const float buffer)

virtual void	bAccessorFinishAdd (InternalBlockAccessor b, const double buffer)

virtual void	bAccessorFinishAdd (InternalBlockAccessor b, const int buffer)

BlockAccessor	createBlockAccessor (Index row, Index col, void *internalPtr=nullptr)

BlockAccessor	createBlockAccessor (Index row, Index col, Index internalData)

BlockConstAccessor	createBlockConstAccessor (Index row, Index col, void *internalPtr=nullptr) const

BlockConstAccessor	createBlockConstAccessor (Index row, Index col, Index internalData) const

void	setMatrix (BlockAccessor *b)

void	setMatrix (BlockConstAccessor *b) const

virtual void	itCopyColBlock (InternalColBlockIterator *) const

virtual void	itDeleteColBlock (const InternalColBlockIterator *) const

virtual void	itAccessColBlock (InternalColBlockIterator it, BlockConstAccessor b) const

virtual void	itIncColBlock (InternalColBlockIterator *it) const

virtual void	itDecColBlock (InternalColBlockIterator *it) const

virtual bool	itEqColBlock (const InternalColBlockIterator it, const InternalColBlockIterator it2) const

virtual bool	itLessColBlock (const InternalColBlockIterator it, const InternalColBlockIterator it2) const

ColBlockConstIterator	createColBlockConstIterator (Index row, void *internalPtr) const

ColBlockConstIterator	createColBlockConstIterator (Index row, Index internalData) const

virtual void	itCopyRowBlock (InternalRowBlockIterator *) const

virtual void	itDeleteRowBlock (const InternalRowBlockIterator *) const

virtual Index	itAccessRowBlock (InternalRowBlockIterator *it) const

virtual ColBlockConstIterator	itBeginRowBlock (InternalRowBlockIterator *it) const

virtual ColBlockConstIterator	itEndRowBlock (InternalRowBlockIterator *it) const

virtual std::pair< ColBlockConstIterator, ColBlockConstIterator >	itRangeRowBlock (InternalRowBlockIterator *it) const

virtual void	itIncRowBlock (InternalRowBlockIterator *it) const

virtual void	itDecRowBlock (InternalRowBlockIterator *it) const

virtual bool	itEqRowBlock (const InternalRowBlockIterator it, const InternalRowBlockIterator it2) const

virtual bool	itLessRowBlock (const InternalRowBlockIterator it, const InternalRowBlockIterator it2) const

RowBlockConstIterator	createRowBlockConstIterator (void *internalPtr) const

RowBlockConstIterator	createRowBlockConstIterator (Index internalData0, Index internalData1) const

Static Protected Member Functions inherited from sofa::linearalgebra::BaseMatrix
static InternalBlockAccessor *	getInternal (BlockConstAccessor *b)

static const InternalBlockAccessor *	getInternal (const BlockConstAccessor *b)

static InternalBlockAccessor *	getInternal (BlockAccessor *b)

static const InternalBlockAccessor *	getInternal (const BlockAccessor *b)

static InternalColBlockIterator *	getInternal (ColBlockConstIterator *b)

static const InternalColBlockIterator *	getInternal (const ColBlockConstIterator *b)

static InternalRowBlockIterator *	getInternal (RowBlockConstIterator *b)

static const InternalRowBlockIterator *	getInternal (const RowBlockConstIterator *b)

Attribute details

◆ cholesky

template<class TReal >

SimplicialCholesky sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::cholesky

protected

used to factorize the matrix and solve systems using Cholesky method, for symmetric positive definite matrices only.

◆ compressedMatrix

template<class TReal >

CompressedMatrix sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::compressedMatrix

the compressed matrix

Constructor details

◆ EigenBaseSparseMatrix() [1/2]

template<class TReal >

sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::EigenBaseSparseMatrix	(	Index	nbRow = `0`,
		Index	nbCol = `0`
	)

inline

◆ EigenBaseSparseMatrix() [2/2]

template<class TReal >

sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::EigenBaseSparseMatrix ( const ThisMatrix & m )

inline

copy constructor

Function details

◆ add()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::add	(	Index	row,
		Index	col,
		double	value
	)

inlineoverridevirtual

Schedule the addition of the value at the given place. Scheduled additions must be finalized using function compress().

Implements sofa::linearalgebra::BaseMatrix.

◆ addToBaseMatrix()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::addToBaseMatrix	(	BaseMatrix *	matrix,
		SReal	factor,
		Index	offset
	)		const

inline

add this EigenBaseSparseMatrix to a BaseMatrix at the offset and multiplied by factor

◆ beginRow()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::beginRow ( Index index )

inline

◆ choleskyDecompose()

template<class TReal >

bool sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::choleskyDecompose ( )

inline

Try to compute the LDLT decomposition, and return true if success. The matrix is unchanged.

◆ choleskySolve()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::choleskySolve	(	VectorEigen &	x,
		const VectorEigen &	b
	)		const

inline

Solve Ax=b, where A is this matrix. WARNING: ldltDecompose() must be called first. x and b can be the same vector.

◆ clear()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::clear ( )

inlineoverridevirtual

Set all values to 0, by resizing to the same size.

Implements sofa::linearalgebra::BaseMatrix.

◆ clearCol()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::clearCol ( Index col )

inlineoverridevirtual

Clears the all the entries of column imin to column imax-1. Not efficient !

Reimplemented from sofa::linearalgebra::BaseMatrix.

◆ clearCols()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::clearCols	(	Index	imin,
		Index	imax
	)

inlineoverridevirtual

Set all the entries of column i and of row i to 0. Not efficient !

Reimplemented from sofa::linearalgebra::BaseMatrix.

◆ clearRow()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::clearRow ( Index i )

inlineoverridevirtual

Set all the entries of a row to 0.

Reimplemented from sofa::linearalgebra::BaseMatrix.

◆ clearRowCol()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::clearRowCol ( Index i )

inlineoverridevirtual

Clears all the entries of rows imin to imax-1 and columns imin to imax-1.

Reimplemented from sofa::linearalgebra::BaseMatrix.

◆ clearRows()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::clearRows	(	Index	imin,
		Index	imax
	)

inlineoverridevirtual

Set all the entries of rows imin to imax-1 to 0.

Set all the entries of a column to 0. Not efficient !

Reimplemented from sofa::linearalgebra::BaseMatrix.

◆ clearRowsCols()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::clearRowsCols	(	Index	imin,
		Index	imax
	)

inlineoverridevirtual

Clears all the values in rows imin to imax-1 and columns imin to imax-1.

Reimplemented from sofa::linearalgebra::BaseMatrix.

◆ coeffRef()

template<class TReal >

Real& sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::coeffRef	(	Index	i,
		Index	j
	)

inline

Return a reference to the given entry in the compressed matrix.There can (must ?) be a value at this place already. Efficient only if the it is at the last place of the compressed matrix.

◆ colSize()

template<class TReal >

Index sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::colSize ( void ) const

inlineoverridevirtual

number of columns

Implements sofa::linearalgebra::BaseMatrix.

◆ compress()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::compress ( )

inlineoverridevirtual

Add the values from the scheduled list, and clears the schedule list.

See also: set(Index i, Index j, double v).

Reimplemented from sofa::linearalgebra::BaseMatrix.

◆ copy()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::copy	(	const EigenBaseSparseMatrix< TReal > &	m,
		unsigned	nbCol,
		unsigned	shift
	)

inline

Clear and resize this to (m.rows,nbCol) and initialize it with the given matrix, columns shifted of the given value: this(i,j+shift) = m(i,j). @precond nbCol >= m.cols + shift

◆ element()

template<class TReal >

SReal sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::element	(	Index	i,
		Index	j
	)		const

inlineoverridevirtual

Read the value of the element at row i, column j (using 0-based indices)

Implements sofa::linearalgebra::BaseMatrix.

◆ getColsIndex()

template<class TReal >

Index* sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::getColsIndex ( )

inline

◆ getColsValue()

template<class TReal >

Real* sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::getColsValue ( )

inline

◆ getRowBegin()

template<class TReal >

Index* sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::getRowBegin ( )

inline

◆ insertBack()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::insertBack	(	Index	row,
		Index	col,
		Real	value
	)

inline

Insert in the compressed matrix. There must be no value at this place already. Efficient only if the value is inserted at the last place of the last row.

Warning: the line must be created previously with "beginRow"

◆ mul() [1/2]

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::mul	(	Eigen::Matrix< Real, Eigen::Dynamic, Eigen::Dynamic > &	res,
		const Eigen::Matrix< Real, Eigen::Dynamic, Eigen::Dynamic > &	rhs
	)

inline

Sparse x Dense Matrix product.

◆ mul() [2/2]

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::mul	(	EigenBaseSparseMatrix< Real > &	res,
		const EigenBaseSparseMatrix< Real > &	rhs
	)		const

inline

EigenBaseSparseMatrix multiplication res can be the same variable as this or rhs

◆ mul_MT() [1/2]

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::mul_MT	(	Eigen::Matrix< Real, Eigen::Dynamic, Eigen::Dynamic > &	res,
		const Eigen::Matrix< Real, Eigen::Dynamic, Eigen::Dynamic > &	rhs
	)

inline

Sparse x Dense Matrix product openmp multithreaded.

◆ mul_MT() [2/2]

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::mul_MT	(	EigenBaseSparseMatrix< Real > &	res,
		const EigenBaseSparseMatrix< Real > &	rhs
	)		const

inline

EigenBaseSparseMatrix multiplication (openmp multithreaded version)

Warning: res MUST NOT be the same variable as this or rhs

◆ mult()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::mult	(	VectorEigen &	result,
		const VectorEigen &	data
	)

inline

Matrix-vector product.

◆ mult_MT()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::mult_MT	(	VectorEigen &	result,
		const VectorEigen &	data
	)

inline

Matrix-vector product openmp multithreaded.

◆ multVector()

template<class TReal >

template<class V1 , class V2 >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::multVector	(	V1 &	output,
		const V2 &	input
	)

inline

Matrix-Vector product (dense vector with contiguous memory layout)

◆ Name() [1/3]

template<class TReal >

static const char* sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::Name ( )

static

◆ Name() [2/3]

const char * sofa::linearalgebra::EigenBaseSparseMatrix< double >::Name ( )

inline

◆ Name() [3/3]

const char * sofa::linearalgebra::EigenBaseSparseMatrix< float >::Name ( )

inline

◆ operator*()

template<class TReal >

template<class V >

V sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::operator* ( const V & input )

inline

Matrix-Vector product (dense vector with contiguous memory layout)

◆ operator=()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::operator= ( const ThisMatrix & m )

inline

copy operator

◆ reserve()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::reserve ( typename CompressedMatrix::Index reserveSize )

inline

◆ resize()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::resize	(	Index	nbRow,
		Index	nbCol
	)

inlineoverridevirtual

Resize the matrix without preserving the data (the matrix is set to zero)

Implements sofa::linearalgebra::BaseMatrix.

◆ rowSize()

template<class TReal >

Index sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::rowSize ( void ) const

inlineoverridevirtual

number of rows

Implements sofa::linearalgebra::BaseMatrix.

◆ set()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::set	(	Index	i,
		Index	j,
		double	v
	)

inlineoverridevirtual

Write the value of the element at row i, column j (using 0-based indices)

Implements sofa::linearalgebra::BaseMatrix.

◆ setIdentity()

template<class TReal >

void sofa::linearalgebra::EigenBaseSparseMatrix< TReal >::setIdentity ( )

inline

Detailed Description

template<class TReal> class sofa::linearalgebra::EigenBaseSparseMatrix< TReal >

Public Attributes

Protected Attributes

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Attribute details

◆ cholesky

◆ compressedMatrix

Constructor details

◆ EigenBaseSparseMatrix() [1/2]

◆ EigenBaseSparseMatrix() [2/2]

Function details

◆ add()

◆ addToBaseMatrix()

◆ beginRow()

◆ choleskyDecompose()

◆ choleskySolve()

◆ clear()

◆ clearCol()

◆ clearCols()

◆ clearRow()

◆ clearRowCol()

◆ clearRows()

◆ clearRowsCols()

◆ coeffRef()

◆ colSize()

◆ compress()

◆ copy()

◆ element()

◆ getColsIndex()

◆ getColsValue()

◆ getRowBegin()

◆ insertBack()

◆ mul() [1/2]

◆ mul() [2/2]

◆ mul_MT() [1/2]

◆ mul_MT() [2/2]

◆ mult()

◆ mult_MT()

◆ multVector()

◆ Name() [1/3]

◆ Name() [2/3]

◆ Name() [3/3]

◆ operator*()

◆ operator=()

◆ reserve()

◆ resize()

◆ rowSize()

◆ set()

◆ setIdentity()

template<class TReal>
class sofa::linearalgebra::EigenBaseSparseMatrix< TReal >