sgpp::base::OperationHierarchisationFundamentalSpline Class Reference

Hierarchisation on sparse grid, fundamental spline basis. More...

#include <OperationHierarchisationFundamentalSpline.hpp>

Inheritance diagram for sgpp::base::OperationHierarchisationFundamentalSpline:

Public Member Functions
void	doDehierarchisation (DataVector &alpha) override
	Implements the dehierarchisation on a sparse grid. More...
void	doDehierarchisation (DataMatrix &alpha)
void	doHierarchisation (DataVector &node_values) override
	Implements the hierarchisation on a sparse grid. More...
void	doHierarchisation (DataMatrix &node_values)
	OperationHierarchisationFundamentalSpline (FundamentalSplineGrid *grid)
	Constructor of OperationHierarchisationFundamentalSpline. More...
	~OperationHierarchisationFundamentalSpline () override
	Destructor. More...
Public Member Functions inherited from sgpp::base::OperationHierarchisation
	OperationHierarchisation ()
	Constructor. More...
virtual	~OperationHierarchisation ()
	Destructor. More...

Protected Attributes
FundamentalSplineGrid *	grid
	grid More...

Detailed Description

Hierarchisation on sparse grid, fundamental spline basis.

Constructor & Destructor Documentation

OperationHierarchisationFundamentalSpline()

sgpp::base::OperationHierarchisationFundamentalSpline::OperationHierarchisationFundamentalSpline ( FundamentalSplineGrid *  grid )

explicit

Constructor of OperationHierarchisationFundamentalSpline.

Parameters

grid	Pointer to the grid

References ~OperationHierarchisationFundamentalSpline().

~OperationHierarchisationFundamentalSpline()

sgpp::base::OperationHierarchisationFundamentalSpline::~OperationHierarchisationFundamentalSpline ( )

override

Destructor.

Referenced by OperationHierarchisationFundamentalSpline().

Member Function Documentation

doDehierarchisation() [1/2]

void sgpp::base::OperationHierarchisationFundamentalSpline::doDehierarchisation ( DataVector &  alpha )

overridevirtual

Implements the dehierarchisation on a sparse grid.

Parameters

alpha

the coefficients of the sparse grid's basis functions

Implements sgpp::base::OperationHierarchisation.

References sgpp::base::Grid::getStorage(), and grid.

Referenced by sgpp::optimization::OperationMultipleHierarchisationFundamentalSpline::doDehierarchisation().

doDehierarchisation() [2/2]

void sgpp::base::OperationHierarchisationFundamentalSpline::doDehierarchisation

(

DataMatrix &

alpha

)

References sgpp::base::Grid::getStorage(), and grid.

doHierarchisation() [1/2]

void sgpp::base::OperationHierarchisationFundamentalSpline::doHierarchisation ( DataVector &  node_values )

overridevirtual

Implements the hierarchisation on a sparse grid.

Parameters

node_values

the function's values in the nodal basis

Implements sgpp::base::OperationHierarchisation.

References sgpp::base::BreadthFirstSearch< FUNC >::execute(), sgpp::base::Grid::getStorage(), and grid.

Referenced by sgpp::optimization::OperationMultipleHierarchisationFundamentalSpline::doHierarchisation().

doHierarchisation() [2/2]

void sgpp::base::OperationHierarchisationFundamentalSpline::doHierarchisation

(

DataMatrix &

node_values

)

References sgpp::base::BreadthFirstSearch< FUNC >::execute(), sgpp::base::Grid::getStorage(), and grid.

Member Data Documentation

grid

FundamentalSplineGrid* sgpp::base::OperationHierarchisationFundamentalSpline::grid

protected

grid

Referenced by python.uq.dists.SGDEdist.SGDEdist::__str__(), python.learner.Learner.Learner::applyData(), python.tools.Matrix::ApplyMatrix(), python.uq.dists.SGDEdist.SGDEdist::cdf(), doDehierarchisation(), doHierarchisation(), python.uq.learner.Interpolant.Interpolant::doLearningIteration(), python.learner.Learner.Learner::doLearningIteration(), python.learner.Classifier.Classifier::evalError(), python.uq.learner.Interpolant.Interpolant::evalError(), python.tools.Matrix::generateb(), python.controller.CheckpointController.CheckpointController::generateFoldValidationJob(), 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.learner.Learner.Learner::learnData(), python.uq.learner.Regressor.Regressor::learnDataWithFolding(), python.learner.Learner.Learner::learnDataWithFolding(), python.uq.learner.Regressor.Regressor::learnDataWithTest(), python.learner.Learner.Learner::learnDataWithTest(), python.controller.CheckpointController.CheckpointController::loadAll(), python.uq.operations.forcePositivity.operationMakePositive.OperationMakePositive::makePositive(), python.uq.operations.forcePositivity.operationMakePositiveFast.OperationMakePositiveFast::makePositive(), python.uq.dists.SGDEdist.SGDEdist::mean(), python.uq.dists.SGDEdist.SGDEdist::pdf(), python.uq.dists.SGDEdist.SGDEdist::ppf(), python.learner.Classifier.Classifier::refineGrid(), python.learner.Regressor.Regressor::refineGrid(), python.uq.learner.Regressor.Regressor::refineGrid(), python.uq.learner.SimulationLearner.SimulationLearner::refineGrid(), python.controller.CheckpointController.CheckpointController::saveGrid(), python.controller.CheckpointController.CheckpointController::setGrid(), python.uq.learner.Learner.Learner::setGrid(), python.learner.Learner.Learner::setGrid(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid::split(), python.uq.dists.SGDEdist.SGDEdist::toJson(), python.learner.Classifier.Classifier::updateResults(), python.learner.Regressor.Regressor::updateResults(), python.uq.learner.Regressor.Regressor::updateResults(), and python.uq.dists.SGDEdist.SGDEdist::var().

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

• base/src/sgpp/base/operation/hash/OperationHierarchisationFundamentalSpline.hpp
• base/src/sgpp/base/operation/hash/OperationHierarchisationFundamentalSpline.cpp