sgpp::base::HierarchisationFundamentalSplineBoundary Class Reference

Functor for hierarchization with fundamental splines via BreadthFirstSearch. More...

#include <HierarchisationFundamentalSplineBoundary.hpp>

Public Member Functions
	HierarchisationFundamentalSplineBoundary (FundamentalSplineBoundaryGrid *grid)
	Constructor.
void	operator() (const DataMatrix &source, DataMatrix &result, const grid_iterator &iterator)
	Functor operator.
void	operator() (const DataVector &source, DataVector &result, const grid_iterator &iterator)
	Functor operator.
virtual	~HierarchisationFundamentalSplineBoundary ()
	Destructor.

Protected Types
typedef GridStorage::grid_iterator	grid_iterator
	grid iterator

Protected Attributes
FundamentalSplineBoundaryGrid *	grid
	grid
GridStorage &	storage
	grid storage

Detailed Description

Functor for hierarchization with fundamental splines via BreadthFirstSearch.

Member Typedef Documentation

grid_iterator

typedef GridStorage::grid_iterator sgpp::base::HierarchisationFundamentalSplineBoundary::grid_iterator

protected

grid iterator

Constructor & Destructor Documentation

HierarchisationFundamentalSplineBoundary()

sgpp::base::HierarchisationFundamentalSplineBoundary::HierarchisationFundamentalSplineBoundary ( FundamentalSplineBoundaryGrid *  grid )

explicit

Constructor.

Parameters

grid

grid

~HierarchisationFundamentalSplineBoundary()

sgpp::base::HierarchisationFundamentalSplineBoundary::~HierarchisationFundamentalSplineBoundary ( )

virtual

Destructor.

Member Function Documentation

operator()() [1/2]

void sgpp::base::HierarchisationFundamentalSplineBoundary::operator()	(	const DataMatrix &	source,
		DataMatrix &	result,
		const grid_iterator &	iterator
	)

Functor operator.

For each grid point, subtract the value of basis function at the given iterator from the row in result corresponding to the grid point.

Parameters

[in]	source	node values
[out]	result	result of the functor
	iterator	current grid point

References sgpp::base::FundamentalSplineBasis< LT, IT >::eval(), sgpp::base::HashGridIterator::get(), sgpp::base::DataMatrix::get(), sgpp::base::FundamentalSplineBoundaryGrid::getDegree(), sgpp::base::HashGridStorage::getDimension(), sgpp::base::DataMatrix::getNcols(), sgpp::base::HashGridStorage::getSize(), grid, sgpp::base::HashGridIterator::seq(), sgpp::base::DataMatrix::set(), and storage.

operator()() [2/2]

void sgpp::base::HierarchisationFundamentalSplineBoundary::operator()	(	const DataVector &	source,
		DataVector &	result,
		const grid_iterator &	iterator
	)

Functor operator.

For each grid point, subtract the value of basis function at the given iterator from the entry in result corresponding to the grid point.

Parameters

[in]	source	node values
[out]	result	result of the functor
	iterator	current grid point

References sgpp::base::FundamentalSplineBasis< LT, IT >::eval(), sgpp::base::HashGridIterator::get(), sgpp::base::FundamentalSplineBoundaryGrid::getDegree(), sgpp::base::HashGridStorage::getDimension(), sgpp::base::HashGridStorage::getSize(), grid, sgpp::base::HashGridIterator::seq(), and storage.

Member Data Documentation

grid

FundamentalSplineBoundaryGrid* sgpp::base::HierarchisationFundamentalSplineBoundary::grid

protected

grid

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(), 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.learner.Learner.Learner::learnData(), python.learner.Learner.Learner::learnDataWithFolding(), python.uq.learner.Regressor.Regressor::learnDataWithFolding(), python.learner.Learner.Learner::learnDataWithTest(), python.uq.learner.Regressor.Regressor::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(), operator()(), operator()(), 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.learner.Learner.Learner::setGrid(), python.uq.learner.Learner.Learner::setGrid(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid::split(), python.uq.dists.SGDEdist.SGDEdist::toJson(), and python.uq.dists.SGDEdist.SGDEdist::var().

storage

GridStorage& sgpp::base::HierarchisationFundamentalSplineBoundary::storage

protected

grid storage

Referenced by operator()(), and operator()().

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The documentation for this class was generated from the following files:

• base/src/sgpp/base/operation/hash/common/algorithm_bfs/HierarchisationFundamentalSplineBoundary.hpp
• base/src/sgpp/base/operation/hash/common/algorithm_bfs/HierarchisationFundamentalSplineBoundary.cpp