sofa::testing::SparseMatrixTest< TReal > Struct Template Reference

#include <SparseMatrixTest.h>

Inheritance diagram for sofa::testing::SparseMatrixTest< TReal >:

Static Public Member Functions
template<int EigenSparseMatrixOptions>
static void	generateRandomSparseMatrix (Eigen::SparseMatrix< TReal, EigenSparseMatrixOptions > &eigenMatrix, Eigen::Index nbRows, Eigen::Index nbCols, TReal sparsity)
template<class InputIt >
static void	generateFromTriplets (Eigen::SparseMatrix< TReal > &eigenMatrix, InputIt first, InputIt last, Eigen::Index nbRows, Eigen::Index nbCols)
template<typename _DstScalar , int _DstOptions, typename _DstStorageIndex , typename _SrcScalar , int _SrcOptions, typename _SrcStorageIndex >
static void	copyFromEigen (Eigen::SparseMatrix< _DstScalar, _DstOptions, _DstStorageIndex > &dst, const Eigen::SparseMatrix< _SrcScalar, _SrcOptions, _SrcStorageIndex > &src)
static void	copyFromEigen (linearalgebra::BaseMatrix &dst, const Eigen::SparseMatrix< TReal > &src)
template<typename _AScalar , int _AOptions, typename _AStorageIndex , typename _BScalar , int _BOptions, typename _BStorageIndex >
static bool	compareSparseMatrix (const Eigen::SparseMatrix< _AScalar, _AOptions, _AStorageIndex > &A, const Eigen::SparseMatrix< _BScalar, _BOptions, _BStorageIndex > &B)
template<typename _AScalar , int _AOptions, typename _AStorageIndex , typename _BScalar , int _BOptions, typename _BStorageIndex >
static bool	compareEigenSparseMatrix (const Eigen::SparseMatrix< _AScalar, _AOptions, _AStorageIndex > &A, const Eigen::SparseMatrix< _BScalar, _BOptions, _BStorageIndex > &B)
Static Public Member Functions inherited from sofa::testing::NumericTest< SReal >
static Real	matrixMaxDiff (const Matrix1 &m1, const Matrix2 &m2)
	return the maximum difference between corresponding entries, or the infinity if the matrices have different sizes More...
static Real	matrixMaxDiff (const sofa::type::Mat< M, N, Real > &m1, const Matrix2 &m2)
	Return the maximum difference between corresponding entries, or the infinity if the matrices have different sizes. More...
static Real	epsilon ()
	the smallest real number More...
static Real	infinity ()
	Infinity. More...
static bool	isSmall (Real r, Real ratio=1.)
	true if the magnitude of r is less than ratio*epsilon More...
static Real	vectorMaxDiff (const sofa::type::Vec< N, Real > &m1, const Vector2 &m2)
	return the maximum difference between corresponding entries, or the infinity if the vectors have different sizes More...
static Real	vectorMaxDiff (const sofa::type::Vec< N, Real > &m1, const sofa::type::Vec< N, Real > &m2)
	return the maximum difference between corresponding entries More...

Additional Inherited Members
Public Attributes inherited from sofa::testing::BaseTest
sofa::testing::MessageAsTestFailure	m_fatal
sofa::testing::MessageAsTestFailure	m_error
Static Public Attributes inherited from sofa::testing::BaseTest
static int	seed = (unsigned int)time(nullptr)
	Seed value. More...
Public Member Functions inherited from sofa::testing::NumericTest< SReal >
	NumericTest ()
Real	vectorMaxDiff (const Container1 &c1, const Container2 &c2)
	Return the maximum difference between two containers. Issues a failure if sizes are different. More...
Real	vectorMaxAbs (const Container &c)
	Return the maximum absolute value of a container. More...
Public Member Functions inherited from sofa::testing::BaseTest
	BaseTest ()
	Initialize Sofa and the random number generator. More...
	~BaseTest () override
virtual void	onSetUp ()
virtual void	onTearDown ()
Static Protected Member Functions inherited from sofa::testing::NumericTest< SReal >
static float	norm (float a)
static double	norm (double a)
static Real	norm (T a)

Function details

compareEigenSparseMatrix()

template<typename TReal = SReal>

template<typename _AScalar , int _AOptions, typename _AStorageIndex , typename _BScalar , int _BOptions, typename _BStorageIndex >

static bool sofa::testing::SparseMatrixTest< TReal >::compareEigenSparseMatrix ( const Eigen::SparseMatrix< _AScalar, _AOptions, _AStorageIndex > &  A, const Eigen::SparseMatrix< _BScalar, _BOptions, _BStorageIndex > &  B  )

inlinestatic

compareSparseMatrix()

template<typename TReal = SReal>

template<typename _AScalar , int _AOptions, typename _AStorageIndex , typename _BScalar , int _BOptions, typename _BStorageIndex >

static bool sofa::testing::SparseMatrixTest< TReal >::compareSparseMatrix ( const Eigen::SparseMatrix< _AScalar, _AOptions, _AStorageIndex > &  A, const Eigen::SparseMatrix< _BScalar, _BOptions, _BStorageIndex > &  B  )

inlinestatic

copyFromEigen() [1/2]

template<typename TReal = SReal>

template<typename _DstScalar , int _DstOptions, typename _DstStorageIndex , typename _SrcScalar , int _SrcOptions, typename _SrcStorageIndex >

static void sofa::testing::SparseMatrixTest< TReal >::copyFromEigen ( Eigen::SparseMatrix< _DstScalar, _DstOptions, _DstStorageIndex > &  dst, const Eigen::SparseMatrix< _SrcScalar, _SrcOptions, _SrcStorageIndex > &  src  )

inlinestatic

copyFromEigen() [2/2]

template<typename TReal = SReal>

static void sofa::testing::SparseMatrixTest< TReal >::copyFromEigen ( linearalgebra::BaseMatrix &  dst, const Eigen::SparseMatrix< TReal > &  src  )

inlinestatic

generateFromTriplets()

template<typename TReal = SReal>

template<class InputIt >

static void sofa::testing::SparseMatrixTest< TReal >::generateFromTriplets ( Eigen::SparseMatrix< TReal > &  eigenMatrix, InputIt  first, InputIt  last, Eigen::Index  nbRows, Eigen::Index  nbCols  )

inlinestatic

generateRandomSparseMatrix()

template<typename TReal = SReal>

template<int EigenSparseMatrixOptions>

static void sofa::testing::SparseMatrixTest< TReal >::generateRandomSparseMatrix ( Eigen::SparseMatrix< TReal, EigenSparseMatrixOptions > &  eigenMatrix, Eigen::Index  nbRows, Eigen::Index  nbCols, TReal  sparsity  )

inlinestatic

Generate a sparse matrix of size nbRows x nbCols. The sparsity is the ratio of non-zero values compared to the total size of the matrix (= nbRows x nbCols).