sgpp::optimization::OperationMultipleHierarchisationLinear Class Reference

Hierarchisation operation for linear basis functions on Noboundary grids. More...

#include <OperationMultipleHierarchisationLinear.hpp>

Inheritance diagram for sgpp::optimization::OperationMultipleHierarchisationLinear:

Public Member Functions
void	doDehierarchisation (base::DataVector &alpha) override
void	doDehierarchisation (base::DataMatrix &alpha) override
bool	doHierarchisation (base::DataVector &nodeValues) override
bool	doHierarchisation (base::DataMatrix &nodeValues) override
	OperationMultipleHierarchisationLinear (base::LinearGrid &grid)
	Constructor. More...
	~OperationMultipleHierarchisationLinear () override
	Destructor. More...
Public Member Functions inherited from sgpp::optimization::OperationMultipleHierarchisation
	OperationMultipleHierarchisation ()
	Constructor. More...
virtual	~OperationMultipleHierarchisation ()
	Destructor. More...

Protected Attributes
base::LinearGrid &	grid
	storage of the sparse grid More...

Detailed Description

Hierarchisation operation for linear basis functions on Noboundary grids.

Constructor & Destructor Documentation

OperationMultipleHierarchisationLinear()

sgpp::optimization::OperationMultipleHierarchisationLinear::OperationMultipleHierarchisationLinear ( base::LinearGrid &  grid )

explicit

Constructor.

Parameters

grid

grid

~OperationMultipleHierarchisationLinear()

sgpp::optimization::OperationMultipleHierarchisationLinear::~OperationMultipleHierarchisationLinear ( )

override

Destructor.

Member Function Documentation

doDehierarchisation() [1/2]

void sgpp::optimization::OperationMultipleHierarchisationLinear::doDehierarchisation ( base::DataVector &  alpha )

overridevirtual

Parameters

[in,out]

alpha

before: vector of hierarchical coefficients, after: vector of function values at the grid points

Implements sgpp::optimization::OperationMultipleHierarchisation.

References sgpp::base::OperationEvalLinearNaive::eval(), sgpp::base::HashGridStorage::getCoordinates(), sgpp::base::HashGridStorage::getDimension(), sgpp::base::HashGridStorage::getSize(), sgpp::base::Grid::getStorage(), grid, and python.utils.statsfile2gnuplot::j.

doDehierarchisation() [2/2]

void sgpp::optimization::OperationMultipleHierarchisationLinear::doDehierarchisation ( base::DataMatrix &  alpha )

overridevirtual

Parameters

[in,out]

alpha

before: matrix of hierarchical coefficients, after: matrix of function values at the grid points

Implements sgpp::optimization::OperationMultipleHierarchisation.

References sgpp::base::OperationEvalLinearNaive::eval(), sgpp::base::DataMatrix::getColumn(), sgpp::base::HashGridStorage::getCoordinates(), sgpp::base::HashGridStorage::getDimension(), sgpp::base::DataMatrix::getNcols(), sgpp::base::HashGridStorage::getSize(), sgpp::base::Grid::getStorage(), grid, python.statsfileInfo::i, python.utils.statsfile2gnuplot::j, and sgpp::base::DataMatrix::setColumn().

doHierarchisation() [1/2]

bool sgpp::optimization::OperationMultipleHierarchisationLinear::doHierarchisation ( base::DataVector &  nodeValues )

overridevirtual

Parameters

[in,out]

nodeValues

before: vector of function values at the grid points, after: vector of hierarchical coefficients

Returns

whether hierarchisation was successful

Implements sgpp::optimization::OperationMultipleHierarchisation.

References chess::b, grid, and sgpp::optimization::sle_solver::Auto::solve().

doHierarchisation() [2/2]

bool sgpp::optimization::OperationMultipleHierarchisationLinear::doHierarchisation ( base::DataMatrix &  nodeValues )

overridevirtual

Parameters

[in,out]

nodeValues

before: matrix of function values at the grid points, after: matrix of hierarchical coefficients

Returns

whether hierarchisation was successful

Implements sgpp::optimization::OperationMultipleHierarchisation.

References grid, and sgpp::optimization::sle_solver::Auto::solve().

Member Data Documentation

grid

base::LinearGrid& sgpp::optimization::OperationMultipleHierarchisationLinear::grid

protected

storage of the sparse grid

Referenced by doDehierarchisation(), doHierarchisation(), python.uq.learner.Interpolant.Interpolant::doLearningIteration(), python.learner.Classifier.Classifier::evalError(), python.uq.learner.Interpolant.Interpolant::evalError(), python.uq.learner.SimulationLearner.SimulationLearner::getCollocationNodes(), python.uq.learner.SimulationLearner.SimulationLearner::getGrid(), python.uq.learner.SimulationLearner.SimulationLearner::getLearner(), python.uq.learner.Regressor.Regressor::learnData(), python.uq.learner.Regressor.Regressor::learnDataWithFolding(), python.uq.learner.Regressor.Regressor::learnDataWithTest(), python.learner.Classifier.Classifier::refineGrid(), python.learner.Regressor.Regressor::refineGrid(), python.uq.learner.Regressor.Regressor::refineGrid(), python.uq.learner.SimulationLearner.SimulationLearner::refineGrid(), python.learner.Classifier.Classifier::updateResults(), python.learner.Regressor.Regressor::updateResults(), and python.uq.learner.Regressor.Regressor::updateResults().

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

• optimization/src/sgpp/optimization/operation/hash/OperationMultipleHierarchisationLinear.hpp
• optimization/src/sgpp/optimization/operation/hash/OperationMultipleHierarchisationLinear.cpp