SG++-Doxygen-Documentation
sgpp::base::OperationHierarchisationFundamentalSpline Class Reference

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

#include <OperationHierarchisationFundamentalSpline.hpp>

Inheritance diagram for sgpp::base::OperationHierarchisationFundamentalSpline:
sgpp::base::OperationHierarchisation

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

FundamentalSplineGridgrid
 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
gridPointer 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
alphathe 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)

◆ doHierarchisation() [1/2]

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

Implements the hierarchisation on a sparse grid.

Parameters
node_valuesthe 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)

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().


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