amg_precond< compressed_matrix< ScalarType, MAT_ALIGNMENT > > Class Template Reference

AMG preconditioner class, can be supplied to solve()-routines. More...

#include <amg.hpp>

Public Member Functions
	amg_precond ()
	amg_precond (compressed_matrix< ScalarType, MAT_ALIGNMENT > const &mat, amg_tag const &tag)
	The constructor. Builds data structures.
void	setup ()
	Start setup phase for this class and copy data structures.
void	init_apply () const
	Prepare data structures for preconditioning: Build data structures for precondition phase. Do LU factorization on coarsest level.
template<typename VectorType >
ScalarType	calc_complexity (VectorType &avgstencil)
	Returns complexity measures.
template<typename VectorType >
void	apply (VectorType &vec) const
	Precondition Operation.
template<typename VectorType >
void	smooth_jacobi (int level, unsigned int iterations, VectorType &x, VectorType const &rhs) const
	Jacobi Smoother (GPU version)
amg_tag &	tag ()

Detailed Description

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

AMG preconditioner class, can be supplied to solve()-routines.

Specialization for compressed_matrix

Constructor & Destructor Documentation

amg_precond ( )

inline

amg_precond ( compressed_matrix< ScalarType, MAT_ALIGNMENT > const &  mat, amg_tag const &  tag  )

inline

The constructor. Builds data structures.

Parameters

mat	System matrix
tag	The AMG tag

Member Function Documentation

void apply ( VectorType &  vec ) const

inline

Precondition Operation.

Parameters

vec	The vector to which preconditioning is applied to

ScalarType calc_complexity ( VectorType &  avgstencil )

inline

Returns complexity measures.

Parameters

avgstencil

Average stencil sizes on all levels

Returns

Operator complexity of AMG method

void init_apply ( ) const

inline

Prepare data structures for preconditioning: Build data structures for precondition phase. Do LU factorization on coarsest level.

void setup ( )

inline

Start setup phase for this class and copy data structures.

void smooth_jacobi ( int  level, unsigned int  iterations, VectorType &  x, VectorType const &  rhs  ) const

inline

Jacobi Smoother (GPU version)

Parameters

level	Coarse level to which smoother is applied to
iterations	Number of smoother iterations
x	The vector smoothing is applied to
rhs	The right hand side of the equation for the smoother

amg_tag& tag ( )

inline

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

• /tmp/buildd/viennacl-1.2.0/viennacl/linalg/amg.hpp