CPU Algebra

Classes
class	ug::ConstMatrixRow< TMatrix >
struct	ug::CPUAlgebra
class	ug::GPUSparseMatrix< TValueType >
	sparse matrix for big, variable sparse matrices. More...
struct	ug::matrix_algebra_type_traits< GPUSparseMatrix< T > >
struct	ug::matrix_algebra_type_traits< SparseMatrix< T > >
class	ug::MatrixRow< TMatrix >
class	ug::SparseMatrix< TValueType >
	sparse matrix for big, variable sparse matrices. More...
class	ug::Vector< TValueType >

Functions
template<typename vector_t , typename matrix_t >
void	ug::MatMultTransposedAdd (vector_t &dest, const number &alpha1, const vector_t &v1, const number &beta1, const GPUSparseMatrix< matrix_t > &A1, const vector_t &w1)
	calculates dest = alpha1*v1 + beta1 * A1^T *w1; More...
template<typename vector_t , typename matrix_t >
void	ug::MatMultTransposedAdd (vector_t &dest, const number &alpha1, const vector_t &v1, const number &beta1, const SparseMatrix< matrix_t > &A1, const vector_t &w1)
	calculates dest = alpha1*v1 + beta1 * A1^T *w1; More...

Detailed Description

Function Documentation

MatMultTransposedAdd() [1/2]

template<typename vector_t , typename matrix_t >

void ug::MatMultTransposedAdd ( vector_t &  dest, const number &  alpha1, const vector_t &  v1, const number &  beta1, const GPUSparseMatrix< matrix_t > &  A1, const vector_t &  w1  )

inline

calculates dest = alpha1*v1 + beta1 * A1^T *w1;

References ug::GPUSparseMatrix< TValueType >::axpy_transposed().

MatMultTransposedAdd() [2/2]

template<typename vector_t , typename matrix_t >

void ug::MatMultTransposedAdd ( vector_t &  dest, const number &  alpha1, const vector_t &  v1, const number &  beta1, const SparseMatrix< matrix_t > &  A1, const vector_t &  w1  )

inline

calculates dest = alpha1*v1 + beta1 * A1^T *w1;

References ug::SparseMatrix< TValueType >::axpy_transposed().