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    SG++-Doxygen-Documentation
    
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FirstMomemnt of sparse grid function, linear grid without boundaries. More...
#include <OperationSecondMomentPoly.hpp>
  
 Public Member Functions | |
| double | doQuadrature (DataVector &alpha, DataMatrix *bounds=nullptr) override | 
| Compute first moment of the function  \[ \int_{\Omega} x\cdot f(x) dx. \] .  More...  | |
| OperationSecondMomentPoly (Grid *grid) | |
| Constructor of OperationSecondMomentPoly.  More... | |
| ~OperationSecondMomentPoly () override | |
  Public Member Functions inherited from sgpp::base::OperationSecondMoment | |
| OperationSecondMoment () | |
| Constructor.  More... | |
| virtual | ~OperationSecondMoment () | 
| Destructor.  More... | |
Protected Attributes | |
| sgpp::base::Grid * | grid | 
FirstMomemnt of sparse grid function, linear grid without boundaries.
      
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  inlineexplicit | 
Constructor of OperationSecondMomentPoly.
| grid | Pointer to a sparse grid object | 
      
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  inlineoverride | 
References alpha, and doQuadrature().
      
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  overridevirtual | 
Compute first moment of the function
\[ \int_{\Omega} x\cdot f(x) dx. \]
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| alpha | Coefficient vector for current grid | 
| bounds | describes the boundaries of the hypercube of the original function | 
Implements sgpp::base::OperationSecondMoment.
References sgpp::base::HashGridStorage::begin(), chess::dim, sgpp::base::HashGridStorage::end(), sgpp::base::Basis< LT, IT >::eval(), sgpp::base::DataVector::get(), sgpp::base::DataMatrix::get(), sgpp::base::Grid::getBasis(), python.uq.operations.sparse_grid::getDegree(), sgpp::base::HashGridStorage::getDimension(), sgpp::base::Basis< LT, IT >::getIntegral(), sgpp::base::GaussLegendreQuadRule1D::getLevelPointsAndWeightsNormalized(), sgpp::base::DataMatrix::getNcols(), sgpp::base::DataMatrix::getNrows(), sgpp::base::Grid::getStorage(), grid, and level.
Referenced by ~OperationSecondMomentPoly().
      
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  protected | 
Referenced by python.uq.dists.SGDEdist.SGDEdist::__str__(), python.learner.Learner.Learner::applyData(), python.tools.Matrix::ApplyMatrix(), python.uq.dists.SGDEdist.SGDEdist::cdf(), python.uq.learner.Interpolant.Interpolant::doLearningIteration(), python.learner.Learner.Learner::doLearningIteration(), doQuadrature(), 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().