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SG++-Doxygen-Documentation
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Implements the standard L 2 scalar product on periodic grids. More...
#include <OperationMatrixLTwoDotModLinear.hpp>
Public Member Functions | |
| virtual void | mult (sgpp::base::DataVector &alpha, sgpp::base::DataVector &result) |
| Implementation of standard matrix multiplication. More... | |
| OperationMatrixLTwoDotModLinear (sgpp::base::Grid *grid) | |
| Constructor. More... | |
| virtual | ~OperationMatrixLTwoDotModLinear () |
| Destructor. More... | |
Public Member Functions inherited from sgpp::base::OperationMatrix | |
| OperationMatrix () | |
| Constructor. More... | |
| virtual | ~OperationMatrix () |
| Destructor. More... | |
Protected Attributes | |
| sgpp::base::Grid * | grid |
Implements the standard L 2 scalar product on periodic grids.
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explicit |
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virtual |
Destructor.
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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 sgpp::base::Grid::getBasis(), sgpp::base::HashGridStorage::getDimension(), sgpp::base::LinearModifiedBasis< LT, IT >::getIntegral(), sgpp::base::HashGridStorage::getSize(), sgpp::base::DataVector::getSize(), sgpp::base::Grid::getStorage(), grid, python.statsfileInfo::i, and python.utils.statsfile2gnuplot::j.
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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(), OperationMatrixLTwoDotModLinear(), 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().