sgpp::solver::SGSolver Class Reference

Abstract class that defines a solver used in Sparse Grids Applications. More...

#include <SGSolver.hpp>

Inheritance diagram for sgpp::solver::SGSolver:

Public Member Functions
double	getEpsilon ()
	gets the the epsilon, that is used in the SGSolver More...
size_t	getNumberIterations ()
	function that returns the number of needed solve steps More...
double	getResiduum ()
	function the returns the residuum (current or final), error of the solver More...
void	setEpsilon (double eps)
	resets the epsilon, that is used in the SGSolver More...
void	setMaxIterations (size_t nIterations)
	resets the number of maximum iterations More...
	SGSolver (size_t nMaximumIterations, double epsilon)
	Std-Constructor. More...
virtual	~SGSolver ()
	Std-Destructor. More...

Protected Attributes
double	myEpsilon
	epsilon needed in the, e.g. final error in the iterative solver, or a timestep More...
size_t	nIterations
	Number of Iterations needed for the solve. More...
size_t	nMaxIterations
	Number of maximum iterations for cg. More...
double	residuum
	residuum More...

Detailed Description

Abstract class that defines a solver used in Sparse Grids Applications.

Constructor & Destructor Documentation

SGSolver()

sgpp::solver::SGSolver::SGSolver ( size_t  nMaximumIterations, double  epsilon  )

inline

Std-Constructor.

Parameters

nMaximumIterations	number of maximum executed iterations
epsilon	the final error in the iterative solver, or the size of one timestep

~SGSolver()

virtual sgpp::solver::SGSolver::~SGSolver ( )

inlinevirtual

Std-Destructor.

Member Function Documentation

getEpsilon()

double sgpp::solver::SGSolver::getEpsilon ( )

inline

gets the the epsilon, that is used in the SGSolver

Returns

the epsilon, used in the solver

References myEpsilon.

getNumberIterations()

size_t sgpp::solver::SGSolver::getNumberIterations ( )

inline

function that returns the number of needed solve steps

Returns

the number of needed solve steps of the sovler

References nIterations.

Referenced by sgpp::solver::AdamsBashforth::solve(), sgpp::solver::CrankNicolson::solve(), sgpp::solver::Euler::solve(), sgpp::solver::StepsizeControl::solve(), and sgpp::datadriven::LearnerBase::train().

getResiduum()

double sgpp::solver::SGSolver::getResiduum ( )

inline

function the returns the residuum (current or final), error of the solver

Returns

the residuum

References residuum.

Referenced by sgpp::solver::AdamsBashforth::solve(), sgpp::solver::CrankNicolson::solve(), sgpp::solver::Euler::solve(), sgpp::solver::StepsizeControl::solve(), sgpp::datadriven::LearnerBase::train(), sgpp::datadriven::LearnerSGDE::train(), and sgpp::datadriven::SparseGridDensityEstimator::train().

setEpsilon()

void sgpp::solver::SGSolver::setEpsilon ( double  eps )

inline

resets the epsilon, that is used in the SGSolver

Parameters

eps	the new value of epsilon

References friedman::eps.

Referenced by sgpp::datadriven::ModelFittingBase::reconfigureSolver(), and sgpp::datadriven::LearnerBase::train().

setMaxIterations()

void sgpp::solver::SGSolver::setMaxIterations ( size_t  nIterations )

inline

resets the number of maximum iterations

Parameters

nIterations

the new number of maximum iterations

References nIterations.

Referenced by sgpp::datadriven::ModelFittingBase::reconfigureSolver(), python.learner.solver.CGSolver.CGSolver::setImax(), and sgpp::datadriven::LearnerBase::train().

Member Data Documentation

myEpsilon

double sgpp::solver::SGSolver::myEpsilon

protected

epsilon needed in the, e.g. final error in the iterative solver, or a timestep

Referenced by python.learner.solver.CGSolver.CGSolver::getEpsilon(), getEpsilon(), sgpp::solver::ConjugateGradients::solve(), sgpp::solver::BiCGStab::solve(), and sgpp::solver::StepsizeControl::solve().

nIterations

size_t sgpp::solver::SGSolver::nIterations

protected

Number of Iterations needed for the solve.

Referenced by getNumberIterations(), setMaxIterations(), sgpp::solver::ConjugateGradients::solve(), sgpp::solver::BiCGStab::solve(), sgpp::solver::AdamsBashforth::solve(), sgpp::solver::CrankNicolson::solve(), and sgpp::solver::Euler::solve().

nMaxIterations

size_t sgpp::solver::SGSolver::nMaxIterations

protected

Number of maximum iterations for cg.

Referenced by python.learner.solver.CGSolver.CGSolver::getImax(), sgpp::solver::ConjugateGradients::solve(), sgpp::solver::BiCGStab::solve(), sgpp::solver::AdamsBashforth::solve(), sgpp::solver::CrankNicolson::solve(), sgpp::solver::Euler::solve(), and sgpp::solver::StepsizeControl::solve().

residuum

double sgpp::solver::SGSolver::residuum

protected

residuum

Referenced by sgpp::solver::AdamsBashforth::AdamsBashforth(), sgpp::solver::CrankNicolson::CrankNicolson(), sgpp::solver::Euler::Euler(), getResiduum(), sgpp::solver::ConjugateGradients::solve(), sgpp::solver::BiCGStab::solve(), sgpp::solver::StepsizeControl::StepsizeControl(), and sgpp::solver::StepsizeControlH::StepsizeControlH().

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

• solver/src/sgpp/solver/SGSolver.hpp