sgpp::pde::OperationMatrixLTwoDotBsplineClenshawCurtis Class Reference

Implements the standard L 2 scalar product on periodic grids. More...

#include <OperationMatrixLTwoDotBsplineClenshawCurtis.hpp>

Inheritance diagram for sgpp::pde::OperationMatrixLTwoDotBsplineClenshawCurtis:

Public Member Functions
virtual void	mult (sgpp::base::DataVector &alpha, sgpp::base::DataVector &result)
	Implementation of standard matrix multiplication. More...
	OperationMatrixLTwoDotBsplineClenshawCurtis (sgpp::base::Grid *grid)
	Constructor. More...
virtual	~OperationMatrixLTwoDotBsplineClenshawCurtis ()
	Destructor. More...
Public Member Functions inherited from sgpp::base::OperationMatrix
	OperationMatrix ()
	Constructor. More...
virtual	~OperationMatrix ()
	Destructor. More...

Protected Attributes
sgpp::base::Grid *	grid

Detailed Description

Implements the standard L 2 scalar product on periodic grids.

Constructor & Destructor Documentation

OperationMatrixLTwoDotBsplineClenshawCurtis()

sgpp::pde::OperationMatrixLTwoDotBsplineClenshawCurtis::OperationMatrixLTwoDotBsplineClenshawCurtis ( sgpp::base::Grid *  grid )

explicit

Constructor.

Parameters

grid	pointer to the sparse grid object

References grid.

~OperationMatrixLTwoDotBsplineClenshawCurtis()

sgpp::pde::OperationMatrixLTwoDotBsplineClenshawCurtis::~OperationMatrixLTwoDotBsplineClenshawCurtis ( )

virtual

Destructor.

Member Function Documentation

mult()

void sgpp::pde::OperationMatrixLTwoDotBsplineClenshawCurtis::mult ( sgpp::base::DataVector &  alpha, sgpp::base::DataVector &  result  )

virtual

Implementation of standard matrix multiplication.

Parameters

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::BsplineClenshawCurtisBasis< LT, IT >::clenshawCurtisPoint(), sgpp::base::BsplineClenshawCurtisBasis< LT, IT >::eval(), sgpp::base::Grid::getBasis(), python.uq.operations.sparse_grid::getDegree(), sgpp::base::HashGridStorage::getDimension(), sgpp::base::GaussLegendreQuadRule1D::getLevelPointsAndWeightsNormalized(), sgpp::base::HashGridStorage::getSize(), sgpp::base::DataVector::getSize(), sgpp::base::Grid::getStorage(), grid, python.statsfileInfo::i, python.utils.statsfile2gnuplot::j, friedman::p, and python.leja::start.

Member Data Documentation

grid

sgpp::base::Grid* sgpp::pde::OperationMatrixLTwoDotBsplineClenshawCurtis::grid

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(), OperationMatrixLTwoDotBsplineClenshawCurtis(), 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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The documentation for this class was generated from the following files:

• pde/src/sgpp/pde/operation/hash/OperationMatrixLTwoDotBsplineClenshawCurtis.hpp
• pde/src/sgpp/pde/operation/hash/OperationMatrixLTwoDotBsplineClenshawCurtis.cpp