Criterion suited for unsymmetric matrices. More...

#include <dune/istl/paamg/aggregates.hh>

Inheritance diagram for Dune::Amg::UnSymmetricCriterion< M, Norm >:

Public Types
typedef Dependency< M, Norm >	DependencyPolicy
	The policy for calculating the dependency graph.
typedef M	Matrix
	The matrix type we build the dependency of.
typedef Norm	Norm
	The norm to use for examining the matrix entries.
typedef Matrix::row_type	Row
	Constant Row iterator of the matrix.
typedef Matrix::ConstColIterator	ColIter
	Constant column iterator of the matrix.
Public Member Functions
	UnSymmetricCriterion (const Parameters &parms)
	UnSymmetricCriterion ()
void	setDefaultValuesIsotropic (std::size_t dim, std::size_t diameter=2)
	Sets reasonable default values for an isotropic problem.
void	setDefaultValuesAnisotropic (std::size_t dim, std::size_t diameter=2)
	Sets reasonable default values for an aisotropic problem.
void	init (const Matrix *matrix)
void	initRow (const Row &row, int index)
void	examine (const ColIter &col)
void	examine (G &graph, const typename G::EdgeIterator &edge, const ColIter &col)
bool	isIsolated ()
void	setDebugLevel (int level)
	Set the debugging level.
int	debugLevel () const
	Get the debugging Level.
void	setNoPreSmoothSteps (std::size_t steps)
	Set the number of presmoothing steps to apply.
std::size_t	getNoPreSmoothSteps () const
	Get the number of presmoothing steps to apply.
void	setNoPostSmoothSteps (std::size_t steps)
	Set the number of postsmoothing steps to apply.
std::size_t	getNoPostSmoothSteps () const
	Get the number of postsmoothing steps to apply.
void	setGamma (std::size_t gamma)
	Set the value of gamma; 1 for V-cycle, 2 for W-cycle.
std::size_t	getGamma () const
	Get the value of gamma; 1 for V-cycle, 2 for W-cycle.
void	setAdditive (bool additive)
	Set whether to use additive multigrid.
bool	getAdditive () const
	Get whether to use additive multigrid.
void	setMaxLevel (int l)
	Set the maximum number of levels allowed in the hierarchy.
int	maxLevel () const
	Get the maximum number of levels allowed in the hierarchy.
void	setCoarsenTarget (int nodes)
	Set the maximum number of unknowns allowed on the coarsest level.
int	coarsenTarget () const
	Get the maximum number of unknowns allowed on the coarsest level.
void	setMinCoarsenRate (double rate)
	Set the minimum coarsening rate to be achieved in each coarsening.
double	minCoarsenRate () const
	Get the minimum coarsening rate to be achieved.
AccumulationMode	accumulate () const
	Whether the data should be accumulated on fewer processes on coarser levels.
void	setAccumulate (AccumulationMode accu)
	Set whether he data should be accumulated on fewer processes on coarser levels.
void	setAccumulate (bool accu)
void	setProlongationDampingFactor (double d)
	Set the damping factor for the prolongation.
double	getProlongationDampingFactor () const
	Get the damping factor for the prolongation.
std::size_t	maxDistance () const
	Get the maximal distance allowed between to nodes in a aggregate.
void	setMaxDistance (std::size_t distance)
	Set the maximal distance allowed between to nodes in a aggregate.
bool	skipIsolated () const
	Whether isolated aggregates will not be represented on the coarse level.
void	setSkipIsolated (bool skip)
	Set whether isolated aggregates will not be represented on the coarse level.
std::size_t	minAggregateSize () const
	Get the minimum number of nodes a aggregate has to consist of.
void	setMinAggregateSize (std::size_t size)
	Set the minimum number of nodes a aggregate has to consist of.
std::size_t	maxAggregateSize () const
	Get the maximum number of nodes a aggregate is allowed to have.
void	setMaxAggregateSize (std::size_t size)
	Set the maximum number of nodes a aggregate is allowed to have.
std::size_t	maxConnectivity () const
	Get the maximum number of connections a aggregate is allowed to have.
void	setMaxConnectivity (std::size_t connectivity)
	Set the maximum number of connections a aggregate is allowed to have.
void	setBeta (double b)
	Set threshold for marking nodes as isolated. The default value is 1.0E-5.
double	beta () const
	Get the threshold for marking nodes as isolated. The default value is 1.0E-5.
void	setAlpha (double a)
	Set the scaling value for marking connections as strong. Default value is 1/3.
double	alpha () const
	Get the scaling value for marking connections as strong. Default value is 1/3.
Protected Attributes
const Matrix *	matrix_
	The matrix we work on.
Matrix::field_type	maxValue_
	The current max value.
Norm	norm_
	The functor for calculating the norm.
int	row_
	index of the currently evaluated row.
Matrix::field_type	diagonal_
	The norm of the current diagonal.

Detailed Description

template<class M, class Norm>
class Dune::Amg::UnSymmetricCriterion< M, Norm >

Criterion suited for unsymmetric matrices.

Nevertheless the sparsity pattern has to be symmetric.

The two template parameters are:

M: The type of the matrix the amg coarsening works on, e. g. BCRSMatrix
Norm: The norm to use to determine the strong couplings between the nodes, e.g. FirstDiagonal or RowSum.

Member Typedef Documentation

typedef Matrix::ConstColIterator Dune::Amg::Dependency< M, Norm >::ColIter [inherited]

Constant column iterator of the matrix.

typedef Dependency< M, Norm > Dune::Amg::AggregationCriterion< Dependency< M, Norm > >::DependencyPolicy [inherited]

The policy for calculating the dependency graph.

typedef M Dune::Amg::Dependency< M, Norm >::Matrix [inherited]

The matrix type we build the dependency of.

typedef Norm Dune::Amg::Dependency< M, Norm >::Norm [inherited]

The norm to use for examining the matrix entries.

typedef Matrix::row_type Dune::Amg::Dependency< M, Norm >::Row [inherited]

Constant Row iterator of the matrix.

Member Function Documentation

void Dune::Amg::Dependency< M, Norm >::examine ( const ColIter & col ) [inherited]

void Dune::Amg::Dependency< M, Norm >::examine	(	G &	graph,
		const typename G::EdgeIterator &	edge,
		const ColIter &	col
	)		`[inherited]`

void Dune::Amg::Dependency< M, Norm >::init ( const Matrix * matrix ) [inherited]

void Dune::Amg::Dependency< M, Norm >::initRow	(	const Row &	row,
		int	index
	)		`[inherited]`

bool Dune::Amg::Dependency< M, Norm >::isIsolated ( ) [inherited]

void Dune::Amg::AggregationCriterion< Dependency< M, Norm > >::setDefaultValuesAnisotropic	(	std::size_t	dim,
		std::size_t	diameter = `2`
	)		`[inline, inherited]`

Sets reasonable default values for an aisotropic problem.

Reasonable means that we should end up with cube aggregates with sides of diameter 2 and sides in one dimension that are longer (e.g. for 3D: 2x2x3).

Parameters:

dim	The dimension of the problem.
diameter	The preferred diameter for the aggregation.

Reimplemented from Dune::Amg::AggregationParameters.

void Dune::Amg::AggregationCriterion< Dependency< M, Norm > >::setDefaultValuesIsotropic	(	std::size_t	dim,
		std::size_t	diameter = `2`
	)		`[inline, inherited]`