ViennaCL - The Vienna Computing Library  1.7.1
Free open-source GPU-accelerated linear algebra and solver library.
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viennacl::linalg::fspai_precond< viennacl::compressed_matrix< ScalarType, MAT_ALIGNMENT > > Class Template Reference

Implementation of the Factored SParse Approximate Inverse Algorithm for a ViennaCL compressed_matrix. More...

#include <spai.hpp>

Public Member Functions

 fspai_precond (const MatrixType &A, const fspai_tag &tag)
 Constructor. More...
 
void apply (VectorType &vec) const
 Application of current preconditioner, multiplication on the right-hand side vector. More...
 

Detailed Description

template<typename ScalarType, unsigned int MAT_ALIGNMENT>
class viennacl::linalg::fspai_precond< viennacl::compressed_matrix< ScalarType, MAT_ALIGNMENT > >

Implementation of the Factored SParse Approximate Inverse Algorithm for a ViennaCL compressed_matrix.

Parameters
Matrixmatrix that is used for computations
Vectorvector that is used for computations

Definition at line 237 of file spai.hpp.

Constructor & Destructor Documentation

template<typename ScalarType , unsigned int MAT_ALIGNMENT>
viennacl::linalg::fspai_precond< viennacl::compressed_matrix< ScalarType, MAT_ALIGNMENT > >::fspai_precond ( const MatrixType A,
const fspai_tag tag 
)
inline

Constructor.

Parameters
Amatrix whose approximate inverse is calculated. Must be quadratic.
tagSPAI configuration tag

Definition at line 250 of file spai.hpp.

Member Function Documentation

template<typename ScalarType , unsigned int MAT_ALIGNMENT>
void viennacl::linalg::fspai_precond< viennacl::compressed_matrix< ScalarType, MAT_ALIGNMENT > >::apply ( VectorType vec) const
inline

Application of current preconditioner, multiplication on the right-hand side vector.

Parameters
vecrhs vector

Definition at line 275 of file spai.hpp.


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