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 ()

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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

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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

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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:

• /data/development/ViennaCL/dev/viennacl/linalg/amg.hpp