sgpp::base::sle_solver::Auto Class Reference

Automatic choice of external linear solver. More...

#include <Auto.hpp>

Inheritance diagram for sgpp::base::sle_solver::Auto:

Public Member Functions
bool	solve (SLE &system, DataMatrix &B, DataMatrix &X) const override
bool	solve (SLE &system, DataVector &b, DataVector &x) const override
	~Auto () override
	Destructor.
Public Member Functions inherited from sgpp::base::sle_solver::SLESolver
	SLESolver ()
	Constructor.
virtual	~SLESolver ()
	Destructor.

Static Public Attributes
static constexpr double	ESTIMATE_NNZ_ROWS_SAMPLE_SIZE = 0.05
	ratio of the rows (e.g. 0.1 = 10%) to use for sparsity estimation
static const size_t	MAX_DIM_FOR_FULL = 30000
	maximal matrix dimension to allow use of full solvers
static const size_t	MAX_DIM_FOR_GAUSSIAN = 200
	maximal matrix dimension to prefer GaussianElimination over BiCGStab
static constexpr double	MAX_NNZ_RATIO_FOR_SPARSE = 0.1
	maximal ratio of non-zero entries for sparse solvers

Detailed Description

Automatic choice of external linear solver.

Constructor & Destructor Documentation

~Auto()

sgpp::base::sle_solver::Auto::~Auto ( )

override

Destructor.

Member Function Documentation

solve() [1/2]

bool sgpp::base::sle_solver::Auto::solve ( SLE &  system, DataMatrix &  B, DataMatrix &  X  ) const

overridevirtual

Parameters

	system	system to be solved
	B	matrix of right-hand sides
[out]	X	matrix of solutions to the systems

Returns

whether all went well (false if errors occurred)

Reimplemented from sgpp::base::sle_solver::SLESolver.

References sgpp::base::sle_solver::addSLESolver(), ESTIMATE_NNZ_ROWS_SAMPLE_SIZE, sgpp::base::SLE::getDimension(), sgpp::base::Printer::getInstance(), sgpp::base::SLE::isMatrixEntryNonZero(), MAX_DIM_FOR_FULL, MAX_DIM_FOR_GAUSSIAN, MAX_NNZ_RATIO_FOR_SPARSE, sgpp::base::Printer::printStatusBegin(), sgpp::base::Printer::printStatusEnd(), sgpp::base::Printer::printStatusNewLine(), and sgpp::base::Printer::printStatusUpdate().

solve() [2/2]

bool sgpp::base::sle_solver::Auto::solve ( SLE &  system, DataVector &  b, DataVector &  x  ) const

overridevirtual

Parameters

	system	system to be solved
	b	right-hand side
[out]	x	solution to the system

Returns

whether all went well (false if errors occurred)

Implements sgpp::base::sle_solver::SLESolver.

References sgpp::base::DataMatrix::getNcols(), sgpp::base::DataMatrix::getNrows(), and solve().

Referenced by sgpp::combigrid::OperationPoleHierarchisationGeneral::apply(), sgpp::optimization::OperationMultipleHierarchisationBspline::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationBsplineBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationBsplineClenshawCurtis::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationLinear::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationLinearBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationLinearClenshawCurtis::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationLinearClenshawCurtisBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModBspline::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModBsplineClenshawCurtis::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModLinear::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModNakBspline::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModWavelet::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModWeaklyFundamentalNakSpline::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationNakBspline::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationNakBsplineBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationNakBsplineExtended::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationNaturalBsplineBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationWavelet::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationWaveletBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationWeaklyFundamentalNakSplineBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationWeaklyFundamentalSplineBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationBspline::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationBsplineBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationBsplineClenshawCurtis::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationLinear::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationLinearBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationLinearClenshawCurtis::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationLinearClenshawCurtisBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModBspline::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModBsplineClenshawCurtis::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModLinear::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModNakBspline::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModWavelet::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationModWeaklyFundamentalNakSpline::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationNakBspline::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationNakBsplineBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationNakBsplineExtended::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationNaturalBsplineBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationWavelet::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationWaveletBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationWeaklyFundamentalNakSplineBoundary::doHierarchisation(), sgpp::optimization::OperationMultipleHierarchisationWeaklyFundamentalSplineBoundary::doHierarchisation(), and solve().

Member Data Documentation

ESTIMATE_NNZ_ROWS_SAMPLE_SIZE

constexpr double sgpp::base::sle_solver::Auto::ESTIMATE_NNZ_ROWS_SAMPLE_SIZE = 0.05

staticconstexpr

ratio of the rows (e.g. 0.1 = 10%) to use for sparsity estimation

Referenced by solve().

MAX_DIM_FOR_FULL

const size_t sgpp::base::sle_solver::Auto::MAX_DIM_FOR_FULL = 30000

static

maximal matrix dimension to allow use of full solvers

Referenced by solve().

MAX_DIM_FOR_GAUSSIAN

const size_t sgpp::base::sle_solver::Auto::MAX_DIM_FOR_GAUSSIAN = 200

static

maximal matrix dimension to prefer GaussianElimination over BiCGStab

Referenced by solve().

MAX_NNZ_RATIO_FOR_SPARSE

constexpr double sgpp::base::sle_solver::Auto::MAX_NNZ_RATIO_FOR_SPARSE = 0.1

staticconstexpr

maximal ratio of non-zero entries for sparse solvers

Referenced by solve().

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

• base/src/sgpp/base/tools/sle/solver/Auto.hpp
• base/src/sgpp/base/tools/sle/solver/Auto.cpp