SG++-Doxygen-Documentation
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Implements the standard L 2 scalar product on periodic grids. More...
#include <OperationMatrixLTwoDotPolyClenshawCurtis.hpp>
Public Member Functions | |
virtual void | mult (sgpp::base::DataVector &alpha, sgpp::base::DataVector &result) |
Implementation of standard matrix multiplication. More... | |
OperationMatrixLTwoDotPolyClenshawCurtis (sgpp::base::Grid *grid) | |
Constructor. More... | |
virtual | ~OperationMatrixLTwoDotPolyClenshawCurtis () |
Destructor. More... | |
Public Member Functions inherited from sgpp::base::OperationMatrix | |
OperationMatrix () | |
Constructor. More... | |
virtual | ~OperationMatrix () |
Destructor. More... | |
Protected Attributes | |
sgpp::base::ClenshawCurtisTable & | clenshawCurtisTable |
sgpp::base::Grid * | grid |
Implements the standard L 2 scalar product on periodic grids.
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explicit |
Constructor.
grid | pointer to the sparse grid object |
References grid, and ~OperationMatrixLTwoDotPolyClenshawCurtis().
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virtual |
Destructor.
Referenced by OperationMatrixLTwoDotPolyClenshawCurtis().
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virtual |
Implementation of standard matrix multiplication.
alpha | DataVector that is multiplied to the matrix |
result | DataVector into which the result of multiplication is stored |
Implements sgpp::base::OperationMatrix.
References clenshawCurtisTable, sgpp::base::Basis< LT, IT >::eval(), sgpp::base::Grid::getBasis(), python.uq.operations.sparse_grid::getDegree(), sgpp::base::HashGridStorage::getDimension(), sgpp::base::GaussLegendreQuadRule1D::getLevelPointsAndWeightsNormalized(), sgpp::base::ClenshawCurtisTable::getPoint(), sgpp::base::HashGridStorage::getSize(), sgpp::base::DataVector::getSize(), sgpp::base::Grid::getStorage(), grid, python.statsfileInfo::i, python.utils.statsfile2gnuplot::j, and friedman::p.
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protected |
Referenced by mult().
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protected |
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(), mult(), OperationMatrixLTwoDotPolyClenshawCurtis(), 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().