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    SG++-Doxygen-Documentation
    
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Implements the standard L 2 scalar product on periodic grids. More...
#include <OperationMatrixLTwoDotPolyBoundary.hpp>
  
 Public Member Functions | |
| virtual void | mult (sgpp::base::DataVector &alpha, sgpp::base::DataVector &result) | 
| Implementation of standard matrix multiplication.  More... | |
| OperationMatrixLTwoDotPolyBoundary (sgpp::base::Grid *grid) | |
| Constructor.  More... | |
| virtual | ~OperationMatrixLTwoDotPolyBoundary () | 
| 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::Basis< LT, IT >::eval(), sgpp::base::Grid::getBasis(), python.uq.operations.sparse_grid::getDegree(), sgpp::base::HashGridStorage::getDimension(), sgpp::base::HashGridStorage::getLevelIndexArraysForEval(), sgpp::base::GaussLegendreQuadRule1D::getLevelPointsAndWeightsNormalized(), sgpp::base::HashGridStorage::getSize(), sgpp::base::DataVector::getSize(), sgpp::base::Grid::getStorage(), grid, python.statsfileInfo::i, python.utils.statsfile2gnuplot::j, level, and friedman::p.
      
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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(), OperationMatrixLTwoDotPolyBoundary(), 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().