sofa::linearalgebra Namespace Reference

Namespaces
	sparsematrixproduct
	testing

Classes
class	matrix_bloc_traits< defaulttype::RigidDeriv< N, T >, IndexType >
struct	BaseMatrixLinearOpMV_BlockDiagonal
struct	BaseMatrixLinearOpMV_BlockDiagonal< Real, 1, 1, add, transpose, M, V1, V2 >
struct	BaseMatrixLinearOpMV_BlockSparse
class	BaseMatrixLinearOpMV
class	BaseMatrixLinearOpMulV
class	BaseMatrixLinearOpPMulV
class	BaseMatrixLinearOpMulTV
class	BaseMatrixLinearOpPMulTV
struct	BaseMatrixLinearOpAM_BlockSparse
struct	BaseMatrixLinearOpAMS_BlockSparse
struct	BaseMatrixLinearOpAM1_BlockSparse
class	BaseMatrixLinearOpAM
class	BaseMatrixLinearOpAddM
class	BaseMatrixLinearOpAddMT
class	BaseMatrix
class	BaseVector
class	BlockDiagonalMatrix
	Simple full matrix container. More...
class	BlockFullMatrix
	Simple block full matrix container (used for InvMatrixType) More...
class	BlockVector
class	BTDMatrix
	Simple BTD matrix container. More...
class	CRSConstraintPolicy
class	CompressedRowSparseMatrixConstraint
struct	CompressedRowSparseMatrixToEigenSparse
struct	CompressedRowSparseMatrixToEigenSparseVec
struct	CompressedRowSparseMatrixToEigenSparse< sofa::type::Vec< N, Real > >
struct	EigenSparseToCompressedRowSparseMatrix
struct	EigenSparseToCompressedRowSparseMatrixVec
class	EigenSparseToCompressedRowSparseMatrix< sofa::type::Vec< N, Real > >
class	EigenSparseToCompressedRowSparseMatrix< sofa::defaulttype::RigidDeriv< N, Real > >
struct	CRSBlockTraits
	Traits class which defines the containers to use for a given type of block. More...
struct	CRSDefaultPolicy
class	CompressedRowSparseMatrixGeneric
class	CRSMechanicalPolicy
class	CompressedRowSparseMatrixMechanical
class	DiagonalMatrix
	Simple full matrix container. More...
class	MatrixProductOp< DiagonalMatrix< R1 >, M2 >
class	MatrixProductOp< M1, DiagonalMatrix< R2 > >
class	MatrixProductOp< DiagonalMatrix< R1 >, DiagonalMatrix< R2 > >
class	MatrixInvertOp< DiagonalMatrix< R1 > >
class	EigenBaseSparseMatrix
class	EigenSparseMatrix
class	EigenVector
class	FullMatrix
	Simple full matrix container. More...
class	LPtrFullMatrix
	Simple full matrix container, with an additional pointer per line, to be able do get a T** pointer and use [i][j] directly. More...
class	FullVector
struct	CleanupCheck
class	bloc_index_func
class	matrix_bloc_traits
class	matrix_bloc_traits< type::Mat< L, C, real >, IndexType >
class	matrix_bloc_traits< sofa::type::Vec< N, T >, IndexType >
class	matrix_bloc_traits< float, IndexType >
class	matrix_bloc_traits< double, IndexType >
class	matrix_bloc_traits< int, IndexType >
class	MatrixProduct
class	MatrixAddition
class	MatrixSubtraction
class	MatrixTranspose
class	MatrixNegative
class	MatrixScale
class	MatrixExpr
class	DefaultMatrixProductOp
class	MatrixProductOp
class	DefaultMatrixProductOp< 0, 0, M1, M2 >
class	DefaultMatrixProductOp< 1, 0, M1, M2 >
class	DefaultMatrixProductOp< 0, 1, M1, M2 >
class	DefaultMatrixInvertOp
class	MatrixInvertOp
class	DefaultMatrixInvertOp< 0, M1 >
class	type_selector
class	type_selector< 0, T0, T1 >
class	type_selector< 1, T0, T1 >
class	MatrixInverse
class	SparseMatrix
class	RotationMatrix
	3x3 block-diagonal matrix where each block is considered as a rotation. More...
class	MatrixProductOp< SparseMatrix< R1 >, SparseMatrix< R2 > >
class	SparseMatrixProduct
struct	EigenOptions
struct	EigenOptions< Eigen::Map< T, Options, StrideType > >
struct	EigenOptions< const Eigen::Map< T, Options, StrideType > >
struct	EigenOptions< Eigen::Transpose< T > >
struct	EigenOptions< const Eigen::Transpose< T > >
class	SparseMatrixStorageOrder

Typedefs
typedef BlockDiagonalMatrix< 3 >	BlockDiagonalMatrix3
typedef BlockDiagonalMatrix< 6 >	BlockDiagonalMatrix6
typedef BlockDiagonalMatrix< 9 >	BlockDiagonalMatrix9
typedef BlockDiagonalMatrix< 12 >	BlockDiagonalMatrix12
template<typename TBlock , typename TVecBlock = type::vector<TBlock>, typename TVecIndex = type::vector<sofa::Index>>
using	CompressedRowSparseMatrix = CompressedRowSparseMatrixMechanical< TBlock, CRSMechanicalPolicy >
using	SOFA_ATTRIBUTE_DEPRECATED__MATRIXSUBTRACTION = MatrixSubtraction< M1, M2 >

Enumerations
enum	MatrixCategory {   MATRIX_IDENTITY = 0 , MATRIX_DIAGONAL , MATRIX_BAND , MATRIX_SPARSE ,   MATRIX_FULL }

Functions
template<sofa::Size L, sofa::Size C, class real >
void	matrixAdd (BaseMatrix *self, const Index row, const Index col, const sofa::type::Mat< L, C, real > &M)
std::ostream &	operator<< (std::ostream &out, const sofa::linearalgebra::BaseMatrix &m)
	Declare that the operator >> exists but is defined in a BaseMatrix.cpp. More...
std::istream &	operator>> (std::istream &in, sofa::linearalgebra::BaseMatrix &m)
	Declare that the operator >> exists but is defined in a BaseMatrix.cpp. More...
std::ostream &	operator<< (std::ostream &out, const BaseVector &v)
	Declare that the operator << exists but is defined in BaseVector.cpp. More...
template<class RowType , class VecDeriv , typename Real = typename VecDeriv::value_type::Real>
Real	CompressedRowSparseMatrixVecDerivMult (const RowType row, const VecDeriv &vec)
template<class RowType , class VecDeriv >
void	convertCompressedRowSparseMatrixRowToVecDeriv (const RowType row, VecDeriv &out)
template<typename LhsMatrixDeriv , typename RhsMatrixDeriv , typename Real >
void	addMultTransposeEigen (LhsMatrixDeriv &lhs, const Eigen::SparseMatrix< Real, Eigen::RowMajor > &jacobian, const RhsMatrixDeriv &rhs)
	Computes lhs += jacobian^T * rhs. More...
template<class TMatrix , class TBlockMatrix >
void	addBlockMat (TMatrix &self, Index row, Index col, const TBlockMatrix &_M)
template<typename Real >
void	solveDiagonalSystem (const sofa::Size systemSize, const Real *rightHandSideVector, Real *solution, const Real *const D_values)
template<typename Real >
void	solveDiagonalSystemUsingInvertedValues (const sofa::Size systemSize, const Real *rightHandSideVector, Real *solution, const Real *const Dinv_values)
std::ostream &	operator<< (std::ostream &out, const FullMatrix< double > &v)
std::ostream &	operator<< (std::ostream &out, const FullMatrix< float > &v)
std::ostream &	operator<< (std::ostream &out, const LPtrFullMatrix< double > &v)
std::ostream &	operator<< (std::ostream &out, const LPtrFullMatrix< float > &v)
template<typename Real >
std::ostream &	readFromStream (std::ostream &out, const FullMatrix< Real > &v)
std::ostream &	operator<< (std::ostream &out, const FullVector< float > &v)
std::ostream &	operator<< (std::ostream &out, const FullVector< double > &v)
template<typename Real >
std::ostream &	readFromStream (std::ostream &out, const FullVector< Real > &v)
SOFA_LINEARALGEBRA_API void	init ()
	Initialize the Sofa.LinearAlgebra library, as well as its dependencies: Sofa.Type, SofaHelper. More...
SOFA_LINEARALGEBRA_API bool	isInitialized ()
	Return true if and only if the Sofa.LinearAlgebra library has been initialized. More...
SOFA_LINEARALGEBRA_API void	cleanup ()
	Clean up the resources used by the Sofa.LinearAlgebra library, as well as its dependencies: Sofa.Type, SofaHelper. More...
SOFA_LINEARALGEBRA_API bool	isCleanedUp ()
	Return true if and only if the Sofa.LinearAlgebra library has been cleaned up. More...
template<class Real >
std::ostream &	operator<< (std::ostream &out, const RotationMatrix< Real > &v)
template SOFA_LINEARALGEBRA_API std::ostream &	operator<< (std::ostream &out, const RotationMatrix< float > &v)
template SOFA_LINEARALGEBRA_API std::ostream &	operator<< (std::ostream &out, const RotationMatrix< double > &v)
template<typename _Scalar , int _Options, typename _StorageIndex >
void	flagValueIndices (Eigen::SparseMatrix< sparsematrixproduct::IndexedValue< _Scalar >, _Options, _StorageIndex > &matrix)
template<class TMatrix >
void	transpose (const TMatrix &self, type::vector< typename TMatrix::Index > &outer, type::vector< typename TMatrix::Index > &inner, type::vector< typename TMatrix::Index > &perm)
template<typename Real , typename Integer >
void	solveLowerUnitriangularSystemCSR (const sofa::Size systemSize, const Real *rightHandSideVector, Real *solutionVector, const Integer *const CSR_rows, const Integer *const CSR_columns, const Real *const CSR_values)
template<typename Real , typename Integer >
void	solveUpperUnitriangularSystemCSR (const sofa::Size systemSize, const Real *rightHandSideVector, Real *solutionVector, const Integer *const CSR_rows, const Integer *const CSR_columns, const Real *const CSR_values)
void	computeRowColumnCoordinateFromIndexInLowerTriangularMatrix (const sofa::Index flatIndex, sofa::Index &row, sofa::Index &col)

Variables
template class SOFA_LINEARALGEBRA_API	BlockDiagonalMatrix< 3, SReal >
template class SOFA_LINEARALGEBRA_API	BlockFullMatrix< 6, SReal >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixGeneric< double >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixGeneric< float >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< float >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat1x1f >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat2x2f >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat3x3f >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat4x4f >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat< 6, 6, float > >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat< 8, 8, float > >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< double >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat1x1d >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat2x2d >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat3x3d >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat4x4d >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat< 6, 6, double > >
template class SOFA_LINEARALGEBRA_API	CompressedRowSparseMatrixMechanical< Mat< 8, 8, double > >
template class SOFA_LINEARALGEBRA_API	FullMatrix< double >
template class SOFA_LINEARALGEBRA_API	FullMatrix< float >
template class SOFA_LINEARALGEBRA_API	LPtrFullMatrix< double >
template class SOFA_LINEARALGEBRA_API	LPtrFullMatrix< float >
template class SOFA_LINEARALGEBRA_API	FullVector< float >
template class SOFA_LINEARALGEBRA_API	FullVector< double >
template class SOFA_LINEARALGEBRA_API	RotationMatrix< float >
template class SOFA_LINEARALGEBRA_API	RotationMatrix< double >

Typedef Documentation

BlockDiagonalMatrix12

typedef BlockDiagonalMatrix<12> sofa::linearalgebra::BlockDiagonalMatrix12

BlockDiagonalMatrix3

typedef BlockDiagonalMatrix<3> sofa::linearalgebra::BlockDiagonalMatrix3

BlockDiagonalMatrix6

typedef BlockDiagonalMatrix<6> sofa::linearalgebra::BlockDiagonalMatrix6

BlockDiagonalMatrix9

typedef BlockDiagonalMatrix<9> sofa::linearalgebra::BlockDiagonalMatrix9

CompressedRowSparseMatrix

template<typename TBlock , typename TVecBlock = type::vector<TBlock>, typename TVecIndex = type::vector<sofa::Index>>

using sofa::linearalgebra::CompressedRowSparseMatrix = typedef CompressedRowSparseMatrixMechanical<TBlock, CRSMechanicalPolicy>

SOFA_ATTRIBUTE_DEPRECATED__MATRIXSUBTRACTION

using sofa::linearalgebra::SOFA_ATTRIBUTE_DEPRECATED__MATRIXSUBTRACTION = typedef MatrixSubtraction<M1, M2>

Enumeration Type Documentation

MatrixCategory

enum sofa::linearalgebra::MatrixCategory

Enumerator
MATRIX_IDENTITY
MATRIX_DIAGONAL
MATRIX_BAND
MATRIX_SPARSE
MATRIX_FULL

Function Documentation

addBlockMat()

template<class TMatrix , class TBlockMatrix >

void sofa::linearalgebra::addBlockMat	(	TMatrix &	self,
		Index	row,
		Index	col,
		const TBlockMatrix &	_M
	)

addMultTransposeEigen()

template<typename LhsMatrixDeriv , typename RhsMatrixDeriv , typename Real >

void sofa::linearalgebra::addMultTransposeEigen	(	LhsMatrixDeriv &	lhs,
		const Eigen::SparseMatrix< Real, Eigen::RowMajor > &	jacobian,
		const RhsMatrixDeriv &	rhs
	)

Computes lhs += jacobian^T * rhs.

cleanup()

SOFA_LINEARALGEBRA_API void sofa::linearalgebra::cleanup

(

)

Clean up the resources used by the Sofa.LinearAlgebra library, as well as its dependencies: Sofa.Type, SofaHelper.

CompressedRowSparseMatrixVecDerivMult()

template<class RowType , class VecDeriv , typename Real = typename VecDeriv::value_type::Real>

Real sofa::linearalgebra::CompressedRowSparseMatrixVecDerivMult	(	const RowType	row,
		const VecDeriv &	vec
	)

computeRowColumnCoordinateFromIndexInLowerTriangularMatrix()

void sofa::linearalgebra::computeRowColumnCoordinateFromIndexInLowerTriangularMatrix ( const sofa::Index  flatIndex, sofa::Index &  row, sofa::Index &  col  )

inline

A lower triangular matrix can be stored as a linear array. This function converts the index in this linear array to 2d coordinates (row and column) of an element in the matrix.

Example of a 6x6 lower triangular matrix: [ 0 ] [ 1 2 ] [ 3 4 5 ] [ 6 7 8 9 ] [10 11 12 13 14 ] [15 16 17 18 19 20]

0 => (0, 0) 7 => (3, 1) 18 => (5, 3)

convertCompressedRowSparseMatrixRowToVecDeriv()

template<class RowType , class VecDeriv >

void sofa::linearalgebra::convertCompressedRowSparseMatrixRowToVecDeriv	(	const RowType	row,
		VecDeriv &	out
	)

flagValueIndices()

template<typename _Scalar , int _Options, typename _StorageIndex >

void sofa::linearalgebra::flagValueIndices

(

Eigen::SparseMatrix< sparsematrixproduct::IndexedValue< _Scalar >, _Options, _StorageIndex > &

matrix

)

init()

SOFA_LINEARALGEBRA_API void sofa::linearalgebra::init

(

)

Initialize the Sofa.LinearAlgebra library, as well as its dependencies: Sofa.Type, SofaHelper.

isCleanedUp()

SOFA_LINEARALGEBRA_API bool sofa::linearalgebra::isCleanedUp

(

)

Return true if and only if the Sofa.LinearAlgebra library has been cleaned up.

isInitialized()

SOFA_LINEARALGEBRA_API bool sofa::linearalgebra::isInitialized

(

)

Return true if and only if the Sofa.LinearAlgebra library has been initialized.

matrixAdd()

template<sofa::Size L, sofa::Size C, class real >

void sofa::linearalgebra::matrixAdd	(	BaseMatrix *	self,
		const Index	row,
		const Index	col,
		const sofa::type::Mat< L, C, real > &	M
	)

operator<<() [1/11]

SOFA_LINEARALGEBRA_API std::ostream & sofa::linearalgebra::operator<<	(	std::ostream &	out,
		const BaseVector &	v
	)

Declare that the operator << exists but is defined in BaseVector.cpp.

operator<<() [2/11]

SOFA_LINEARALGEBRA_API std::ostream & sofa::linearalgebra::operator<<	(	std::ostream &	out,
		const FullMatrix< double > &	v
	)

operator<<() [3/11]

SOFA_LINEARALGEBRA_API std::ostream & sofa::linearalgebra::operator<<	(	std::ostream &	out,
		const FullMatrix< float > &	v
	)

operator<<() [4/11]

SOFA_LINEARALGEBRA_API std::ostream & sofa::linearalgebra::operator<<	(	std::ostream &	out,
		const FullVector< double > &	v
	)

operator<<() [5/11]

SOFA_LINEARALGEBRA_API std::ostream & sofa::linearalgebra::operator<<	(	std::ostream &	out,
		const FullVector< float > &	v
	)

operator<<() [6/11]

SOFA_LINEARALGEBRA_API std::ostream & sofa::linearalgebra::operator<<	(	std::ostream &	out,
		const LPtrFullMatrix< double > &	v
	)

operator<<() [7/11]

SOFA_LINEARALGEBRA_API std::ostream & sofa::linearalgebra::operator<<	(	std::ostream &	out,
		const LPtrFullMatrix< float > &	v
	)

operator<<() [8/11]

template SOFA_LINEARALGEBRA_API std::ostream & sofa::linearalgebra::operator<<	(	std::ostream &	out,
		const RotationMatrix< double > &	v
	)

operator<<() [9/11]

template SOFA_LINEARALGEBRA_API std::ostream & sofa::linearalgebra::operator<<	(	std::ostream &	out,
		const RotationMatrix< float > &	v
	)

operator<<() [10/11]

template<class Real >

std::ostream & sofa::linearalgebra::operator<<	(	std::ostream &	out,
		const RotationMatrix< Real > &	v
	)

operator<<() [11/11]

SOFA_LINEARALGEBRA_API std::ostream & sofa::linearalgebra::operator<<	(	std::ostream &	out,
		const sofa::linearalgebra::BaseMatrix &	m
	)

Declare that the operator >> exists but is defined in a BaseMatrix.cpp.

Declare that the operator << is friend so they can use private data.

operator>>()

SOFA_LINEARALGEBRA_API std::istream & sofa::linearalgebra::operator>>	(	std::istream &	in,
		sofa::linearalgebra::BaseMatrix &	m
	)

Declare that the operator >> exists but is defined in a BaseMatrix.cpp.

Declare that the operator >> is friend so they can use private data.

readFromStream() [1/2]

template<typename Real >

std::ostream& sofa::linearalgebra::readFromStream	(	std::ostream &	out,
		const FullMatrix< Real > &	v
	)

readFromStream() [2/2]

template<typename Real >

std::ostream& sofa::linearalgebra::readFromStream	(	std::ostream &	out,
		const FullVector< Real > &	v
	)

solveDiagonalSystem()

template<typename Real >

void sofa::linearalgebra::solveDiagonalSystem	(	const sofa::Size	systemSize,
		const Real *	rightHandSideVector,
		Real *	solution,
		const Real *const	D_values
	)

Solves a linear system D*x = b, where: D is a diagonal matrix x is the solution vector b is the right-hand side vector The diagonal matrix is stored as the list of entries in the diagonal

solveDiagonalSystemUsingInvertedValues()

template<typename Real >

void sofa::linearalgebra::solveDiagonalSystemUsingInvertedValues	(	const sofa::Size	systemSize,
		const Real *	rightHandSideVector,
		Real *	solution,
		const Real *const	Dinv_values
	)

Solves a linear system D*x = b, where: D is a diagonal matrix x is the solution vector b is the right-hand side vector The diagonal matrix is stored as the list of the inverse of the entries in the diagonal

solveLowerUnitriangularSystemCSR()

template<typename Real , typename Integer >

void sofa::linearalgebra::solveLowerUnitriangularSystemCSR	(	const sofa::Size	systemSize,
		const Real *	rightHandSideVector,
		Real *	solutionVector,
		const Integer *const	CSR_rows,
		const Integer *const	CSR_columns,
		const Real *const	CSR_values
	)

Solves a lower unitriangular system where the matrix is represented in CSR format

Forward substitution is used to solve a linear system L*x = b, where: L is a lower unitriangular matrix x is the solution vector b is the right-hand side vector The lower unitriangular matrix must be provided in compressed sparse row (CSR) format

Parameters

systemSize	The size of the system. All other parameters must comply with this size
rightHandSideVector	The right-hand side vector
solutionVector	The solution vector
CSR_rows	The array storing the starting index of each row in the data array.
CSR_columns	The array storing the column indices of the nonzero values in the data array.
CSR_values	The array containing the nonzero values of the matrix

solveUpperUnitriangularSystemCSR()

template<typename Real , typename Integer >

void sofa::linearalgebra::solveUpperUnitriangularSystemCSR	(	const sofa::Size	systemSize,
		const Real *	rightHandSideVector,
		Real *	solutionVector,
		const Integer *const	CSR_rows,
		const Integer *const	CSR_columns,
		const Real *const	CSR_values
	)

Solves a upper unitriangular system where the matrix is represented in CSR format

Backward substitution is used to solve a linear system U*x = b, where: U is a upper unitriangular matrix x is the solution vector b is the right-hand side vector The upper unitriangular matrix must be provided in compressed sparse row (CSR) format

Parameters

systemSize	The size of the system. All other parameters must comply with this size
rightHandSideVector	The right-hand side vector
solutionVector	The solution vector
CSR_rows	The array storing the starting index of each row in the data array.
CSR_columns	The array storing the column indices of the nonzero values in the data array.
CSR_values	The array containing the nonzero values of the matrix

transpose()

template<class TMatrix >

void sofa::linearalgebra::transpose	(	const TMatrix &	self,
		type::vector< typename TMatrix::Index > &	outer,
		type::vector< typename TMatrix::Index > &	inner,
		type::vector< typename TMatrix::Index > &	perm
	)

Variable Documentation

BlockDiagonalMatrix< 3, SReal >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::BlockDiagonalMatrix< 3, SReal >

extern

BlockFullMatrix< 6, SReal >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::BlockFullMatrix< 6, SReal >

extern

CompressedRowSparseMatrixGeneric< double >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixGeneric< double >

CompressedRowSparseMatrixGeneric< float >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixGeneric< float >

CompressedRowSparseMatrixMechanical< double >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< double >

CompressedRowSparseMatrixMechanical< float >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< float >

CompressedRowSparseMatrixMechanical< Mat1x1d >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat1x1d >

CompressedRowSparseMatrixMechanical< Mat1x1f >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat1x1f >

CompressedRowSparseMatrixMechanical< Mat2x2d >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat2x2d >

CompressedRowSparseMatrixMechanical< Mat2x2f >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat2x2f >

CompressedRowSparseMatrixMechanical< Mat3x3d >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat3x3d >

CompressedRowSparseMatrixMechanical< Mat3x3f >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat3x3f >

CompressedRowSparseMatrixMechanical< Mat4x4d >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat4x4d >

CompressedRowSparseMatrixMechanical< Mat4x4f >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat4x4f >

CompressedRowSparseMatrixMechanical< Mat< 6, 6, double > >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat< 6, 6, double > >

CompressedRowSparseMatrixMechanical< Mat< 6, 6, float > >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat< 6, 6, float > >

CompressedRowSparseMatrixMechanical< Mat< 8, 8, double > >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat< 8, 8, double > >

CompressedRowSparseMatrixMechanical< Mat< 8, 8, float > >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::CompressedRowSparseMatrixMechanical< Mat< 8, 8, float > >

FullMatrix< double >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::FullMatrix< double >

extern

FullMatrix< float >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::FullMatrix< float >

extern

FullVector< double >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::FullVector< double >

FullVector< float >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::FullVector< float >

LPtrFullMatrix< double >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::LPtrFullMatrix< double >

extern

LPtrFullMatrix< float >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::LPtrFullMatrix< float >

extern

RotationMatrix< double >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::RotationMatrix< double >

RotationMatrix< float >

template class SOFA_LINEARALGEBRA_API sofa::linearalgebra::RotationMatrix< float >