Template Numerical Library: TNL::Solvers::Linear::BICGStabL< Matrix

Iterative solver of linear systems based on the BICGStab(l) method. More...

#include <TNL/Solvers/Linear/BICGStabL.h>

Inheritance diagram for TNL::Solvers::Linear::BICGStabL< Matrix >:

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Collaboration diagram for TNL::Solvers::Linear::BICGStabL< Matrix >:

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Public Types
using	ConstVectorViewType = typename Base::ConstVectorViewType
	Type for constant vector view.
using	DeviceType = typename Base::DeviceType
	Device where the solver will run on and auxiliary data will alloacted on.
using	IndexType = typename Base::IndexType
	Type for indexing.
using	RealType = typename Base::RealType
	Floating point type used for computations.
using	VectorViewType = typename Base::VectorViewType
	Type for vector view.
Public Types inherited from TNL::Solvers::Linear::LinearSolver< Matrix >
using	ConstVectorViewType = typename Traits< Matrix >::ConstVectorViewType
	Type for constant vector view.
using	DeviceType = typename Matrix::DeviceType
	Device where the solver will run on and auxiliary data will alloacted on.
using	IndexType = typename Matrix::IndexType
	Type for indexing.
using	MatrixPointer = std::shared_ptr< std::add_const_t< MatrixType > >
	Type of shared pointer to the matrix.
using	MatrixType = Matrix
	Type of the matrix representing the linear system.
using	PreconditionerPointer = std::shared_ptr< std::add_const_t< PreconditionerType > >
	Type of shared pointer to the preconditioner.
using	PreconditionerType = Preconditioners::Preconditioner< MatrixType >
	Type of preconditioner.
using	RealType = typename Matrix::RealType
	Floating point type used for computations.
using	VectorViewType = typename Traits< Matrix >::VectorViewType
	Type for vector view.
Public Types inherited from TNL::Solvers::IterativeSolver< Matrix::RealType, Matrix::IndexType >
using	SolverMonitorType
	Type of an object used for monitoring of the convergence.

Public Member Functions
bool	setup (const Config::ParameterContainer &parameters, const String &prefix="") override
	Method for setup of the linear iterative solver based on configuration parameters.
bool	solve (ConstVectorViewType b, VectorViewType x) override
	Method for solving of a linear system.
Public Member Functions inherited from TNL::Solvers::Linear::LinearSolver< Matrix >
virtual	~LinearSolver ()=default
	Default destructor.
virtual void	setMatrix (const MatrixPointer &matrix)
	Set the matrix of the linear system.
void	setPreconditioner (const PreconditionerPointer &preconditioner)
	Set the preconditioner.
Public Member Functions inherited from TNL::Solvers::IterativeSolver< Matrix::RealType, Matrix::IndexType >
	IterativeSolver ()=default
	Default constructor.
bool	checkConvergence ()
	Checks whether the convergence occurred already.
bool	checkNextIteration ()
	Checks if the solver is allowed to do the next iteration.
const Matrix::RealType &	getConvergenceResidue () const
	Gets the the convergence threshold.
const Matrix::RealType &	getDivergenceResidue () const
	Gets the limit for the divergence criterion.
const Matrix::IndexType &	getIterations () const
	Gets the number of iterations performed by the solver so far.
const Matrix::IndexType &	getMaxIterations () const
	Gets the maximal number of iterations the solver is allowed to perform.
const Matrix::IndexType &	getMinIterations () const
	Gets the minimal number of iterations the solver is supposed to do.
const Matrix::RealType &	getResidue () const
	Gets the residue reached at the current iteration.
bool	nextIteration ()
	Proceeds to the next iteration.
void	resetIterations ()
	Sets the the number of the current iterations to zero.
void	setConvergenceResidue (const Matrix::RealType &convergenceResidue)
	Sets the threshold for the convergence.
void	setDivergenceResidue (const Matrix::RealType &divergenceResidue)
	Sets the residue limit for the divergence criterion.
void	setMaxIterations (const Matrix::IndexType &maxIterations)
	Sets the maximal number of iterations the solver is allowed to perform.
void	setMinIterations (const Matrix::IndexType &minIterations)
	Sets the minimal number of iterations the solver is supposed to do.
void	setRefreshRate (const Matrix::IndexType &refreshRate)
	Sets the refresh rate (in milliseconds) for the solver monitor.
void	setResidue (const Matrix::RealType &residue)
	Sets the residue reached at the current iteration.
void	setSolverMonitor (SolverMonitorType &solverMonitor)
	Sets the solver monitor object.
bool	setup (const Config::ParameterContainer &parameters, const std::string &prefix="")
	Method for setup of the iterative solver based on configuration parameters.

Static Public Member Functions
static void	configSetup (Config::ConfigDescription &config, const String &prefix="")
	This is method defines configuration entries for setup of the linear iterative solver.
Static Public Member Functions inherited from TNL::Solvers::Linear::LinearSolver< Matrix >
static void	configSetup (Config::ConfigDescription &config, const String &prefix="")
	This method defines configuration entries for setup of the linear iterative solver.
Static Public Member Functions inherited from TNL::Solvers::IterativeSolver< Matrix::RealType, Matrix::IndexType >
static void	configSetup (Config::ConfigDescription &config, const std::string &prefix="")
	This method defines configuration entries for setup of the iterative solver.

Protected Types
using	DeviceVector = Containers::Vector< RealType, DeviceType, IndexType >
using	HostVector = Containers::Vector< RealType, Devices::Host, IndexType >
using	VectorType = typename Traits::VectorType

Protected Member Functions
void	compute_residue (VectorViewType r, ConstVectorViewType x, ConstVectorViewType b)
void	preconditioned_matvec (ConstVectorViewType src, VectorViewType dst)
void	setSize (const VectorViewType &x)

Protected Attributes
int	ell = 1
bool	exact_residue = false
HostVector	g_0
HostVector	g_1
HostVector	g_2
IndexType	ldSize = 0
VectorType	M_tmp
DeviceVector	R
VectorType	r_ast
VectorType	res_tmp
HostVector	sigma
IndexType	size = 0
HostVector	T
DeviceVector	U
Protected Attributes inherited from TNL::Solvers::Linear::LinearSolver< Matrix >
MatrixPointer	matrix = nullptr
PreconditionerPointer	preconditioner = nullptr
Protected Attributes inherited from TNL::Solvers::IterativeSolver< Matrix::RealType, Matrix::IndexType >
Matrix::RealType	convergenceResidue
Matrix::IndexType	currentIteration
Matrix::RealType	currentResidue
Matrix::RealType	divergenceResidue
Matrix::IndexType	maxIterations
Matrix::IndexType	minIterations
Matrix::IndexType	refreshRate
std::ofstream	residualHistoryFile
std::string	residualHistoryFileName
IterativeSolverMonitor< double > *	solverMonitor

Detailed Description

template<typename Matrix>
class TNL::Solvers::Linear::BICGStabL< Matrix >

Iterative solver of linear systems based on the BICGStab(l) method.

BICGStabL implements an iterative solver for non-symmetric linear systems, using the BiCGstab(l) algorithm described in [1] and [2]. It is a generalization of the stabilized biconjugate-gradient (BiCGstab) algorithm proposed by van der Vorst [3]. BiCGstab(1) is equivalent to BiCGstab, and BiCGstab(2) is a slightly more efficient version of the BiCGstab2 algorithm by Gutknecht [4], while BiCGstab(l>2) is a further generalization.

[1] Gerard L. G. Sleijpen and Diederik R. Fokkema, "BiCGstab(l) for linear equations involving unsymmetric matrices with complex spectrum", Electronic Trans. on Numerical Analysis 1, 11-32 (1993).

[2] Gerard L. G. Sleijpen, Henk A. van der Vorst, and Diederik R. Fokkema, "BiCGstab(l) and other Hybrid Bi-CG Methods", Numerical Algorithms 7, 75-109 (1994).

[3] Henk A. van der Vorst, "Bi-CGSTAB: A fast and smoothly converging variant of Bi-CG for the solution of nonsymmetric linear systems, SIAM Journal on scientific and Statistical Computing 13.2, 631-644 (1992). [4] Martin H. Gutknecht, "Variants of BiCGStab for matrices with complex spectrum", IPS Research Report No. 91-14 (1991).

See TNL::Solvers::Linear::LinearSolver for example of showing how to use the linear solvers.

Template Parameters

Matrix is type of matrix describing the linear system.

Member Function Documentation

◆ configSetup()

template<typename Matrix>

void TNL::Solvers::Linear::BICGStabL< Matrix >::configSetup	(	Config::ConfigDescription &	config,
		const String &	prefix = "" )

static

This is method defines configuration entries for setup of the linear iterative solver.

In addition to config entries defined by IterativeSolver::configSetup, this method defines the following:

bicgstab-ell - number of Bi-CG iterations before the MR part starts.

bicgstab-exact-residue - says whether the BiCGstab should compute the exact residue in each step (true) or to use a cheap approximation (false).

Parameters

config	contains description of configuration parameters.
prefix	is a prefix of particular configuration entries.

◆ setup()

template<typename Matrix>

bool TNL::Solvers::Linear::BICGStabL< Matrix >::setup	(	const Config::ParameterContainer &	parameters,
		const String &	prefix = "" )

overridevirtual

Method for setup of the linear iterative solver based on configuration parameters.

Parameters

parameters	contains values of the define configuration entries.
prefix	is a prefix of particular configuration entries.

Reimplemented from TNL::Solvers::Linear::LinearSolver< Matrix >.

◆ solve()

template<typename Matrix>

bool TNL::Solvers::Linear::BICGStabL< Matrix >::solve	(	ConstVectorViewType	b,
		VectorViewType	x )

overridevirtual

Method for solving of a linear system.

See LinearSolver::solve for more details.

Parameters

b	vector with the right-hand side of the linear system.
x	vector for the solution of the linear system.

Returns: true if the solver converged.; false if the solver did not converge.

Implements TNL::Solvers::Linear::LinearSolver< Matrix >.

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

src/TNL/Solvers/Linear/BICGStabL.h
src/TNL/Solvers/Linear/BICGStabL.hpp

Public Types

Public Member Functions

Static Public Member Functions

Protected Types

Protected Member Functions

Protected Attributes

Detailed Description

Member Function Documentation

◆ configSetup()

◆ setup()

◆ solve()