SG++-Doxygen-Documentation
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Hierarchisation operation for modified B-spline basis functions on Noboundary grids. More...
#include <OperationMultipleHierarchisationModFundamentalSpline.hpp>
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 |
OperationMultipleHierarchisationModFundamentalSpline (base::ModFundamentalSplineGrid &grid) | |
Constructor. More... | |
~OperationMultipleHierarchisationModFundamentalSpline () override | |
Destructor. More... | |
Public Member Functions inherited from sgpp::optimization::OperationMultipleHierarchisation | |
OperationMultipleHierarchisation () | |
Constructor. More... | |
virtual | ~OperationMultipleHierarchisation () |
Destructor. More... | |
Protected Attributes | |
base::ModFundamentalSplineGrid & | grid |
storage of the sparse grid More... | |
base::OperationHierarchisationModFundamentalSpline | op |
hierarchization operation More... | |
Hierarchisation operation for modified B-spline basis functions on Noboundary grids.
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explicit |
Constructor.
grid | grid |
References ~OperationMultipleHierarchisationModFundamentalSpline().
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override |
Destructor.
Referenced by OperationMultipleHierarchisationModFundamentalSpline().
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overridevirtual |
[in,out] | alpha | before: vector of hierarchical coefficients, after: vector of function values at the grid points |
Implements sgpp::optimization::OperationMultipleHierarchisation.
References sgpp::base::OperationHierarchisationModFundamentalSpline::doDehierarchisation(), sgpp::optimization::Printer::getInstance(), op, sgpp::optimization::Printer::printStatusBegin(), and sgpp::optimization::Printer::printStatusEnd().
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overridevirtual |
[in,out] | alpha | before: matrix of hierarchical coefficients, after: matrix of function values at the grid points |
Implements sgpp::optimization::OperationMultipleHierarchisation.
References sgpp::base::OperationHierarchisationModFundamentalSpline::doDehierarchisation(), sgpp::optimization::Printer::getInstance(), op, sgpp::optimization::Printer::printStatusBegin(), and sgpp::optimization::Printer::printStatusEnd().
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overridevirtual |
[in,out] | nodeValues | before: vector of function values at the grid points, after: vector of hierarchical coefficients |
Implements sgpp::optimization::OperationMultipleHierarchisation.
References sgpp::base::OperationHierarchisationModFundamentalSpline::doHierarchisation(), sgpp::optimization::Printer::getInstance(), op, sgpp::optimization::Printer::printStatusBegin(), and sgpp::optimization::Printer::printStatusEnd().
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overridevirtual |
[in,out] | nodeValues | before: matrix of function values at the grid points, after: matrix of hierarchical coefficients |
Implements sgpp::optimization::OperationMultipleHierarchisation.
References sgpp::base::OperationHierarchisationModFundamentalSpline::doHierarchisation(), sgpp::optimization::Printer::getInstance(), op, sgpp::optimization::Printer::printStatusBegin(), and sgpp::optimization::Printer::printStatusEnd().
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protected |
storage of the sparse grid
Referenced by 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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protected |
hierarchization operation
Referenced by doDehierarchisation(), and doHierarchisation().