sgpp::optimization::IterativeGridGenerator Class Reference

Abstract base class for iterative grid generation methods. More...

#include <IterativeGridGenerator.hpp>

Inheritance diagram for sgpp::optimization::IterativeGridGenerator:

Public Member Functions
virtual bool	generate ()=0
	Pure virtual method for iterative grid generation.
const base::DataVector &	getFunctionValues () const
base::Grid &	getGrid () const
	IterativeGridGenerator (base::ScalarFunction &f, base::Grid &grid, size_t N)
	Constructor.
void	printIterativeGridGenerator () const
	Prints grid points and function values.
virtual	~IterativeGridGenerator ()
	Destructor.

Protected Member Functions
void	evalFunction (size_t oldGridSize=0)
	Evaluates the objective function at grid points with indices [oldGridSize, oldGridSize + 1, ..., grid.getSize() - 1] and saves values in functionValues.
void	undoRefinement (size_t oldGridSize)
	Removes grid points with indices [oldGridSize, oldGridSize + 1, ..., grid.getSize() - 1] from the grid.

Protected Attributes
base::ScalarFunction &	f
	objective function
base::DataVector	functionValues
	vector of function values at the grid points
base::Grid &	grid
	underlying grid
size_t	N
	maximal number of grid points

Detailed Description

Abstract base class for iterative grid generation methods.

Constructor & Destructor Documentation

IterativeGridGenerator()

sgpp::optimization::IterativeGridGenerator::IterativeGridGenerator	(	base::ScalarFunction &	f,
		base::Grid &	grid,
		size_t	N
	)

Constructor.

Do not destruct the grid before this object!

Parameters

f	objective function
grid	grid (should be empty)
N	maximal number of grid points

~IterativeGridGenerator()

sgpp::optimization::IterativeGridGenerator::~IterativeGridGenerator ( )

virtual

Destructor.

Member Function Documentation

evalFunction()

void sgpp::optimization::IterativeGridGenerator::evalFunction ( size_t  oldGridSize = 0 )

protected

Evaluates the objective function at grid points with indices [oldGridSize, oldGridSize + 1, ..., grid.getSize() - 1] and saves values in functionValues.

Parameters

oldGridSize

number of grid points already evaluated

References sgpp::base::ScalarFunction::clone(), sgpp::base::ScalarFunction::eval(), f, functionValues, sgpp::base::ScalarFunction::getNumberOfParameters(), sgpp::base::Grid::getStorage(), and grid.

Referenced by sgpp::optimization::IterativeGridGeneratorFuzzyRitterNovak::generate(), sgpp::optimization::IterativeGridGeneratorLinearSurplus::generate(), sgpp::optimization::IterativeGridGeneratorRitterNovak::generate(), and sgpp::optimization::IterativeGridGeneratorSOO::generate().

generate()

virtual bool sgpp::optimization::IterativeGridGenerator::generate ( )

pure virtual

Pure virtual method for iterative grid generation.

Returns

true on success, otherwise false

Implemented in sgpp::optimization::IterativeGridGeneratorFuzzyRitterNovak, sgpp::optimization::IterativeGridGeneratorLinearSurplus, sgpp::optimization::IterativeGridGeneratorRitterNovak, and sgpp::optimization::IterativeGridGeneratorSOO.

getFunctionValues()

const base::DataVector & sgpp::optimization::IterativeGridGenerator::getFunctionValues

(

)

const

Returns

vector of function values at the grid points

References functionValues.

Referenced by printIterativeGridGenerator().

getGrid()

base::Grid & sgpp::optimization::IterativeGridGenerator::getGrid

(

)

const

Returns

underlying grid

References grid.

Referenced by python.uq.analysis.asgc.ASGCKnowledge.ASGCKnowledge::getSparseGridFunction(), python.uq.learner.SimulationLearner.SimulationLearner::learnData(), python.uq.learner.SimulationLearner.SimulationLearner::learnDataWithFolding(), python.uq.learner.SimulationLearner.SimulationLearner::learnDataWithTest(), printIterativeGridGenerator(), and python.uq.learner.SimulationLearner.SimulationLearner::refineGrid().

printIterativeGridGenerator()

void sgpp::optimization::IterativeGridGenerator::printIterativeGridGenerator

(

)

const

Prints grid points and function values.

References functionValues, getFunctionValues(), getGrid(), sgpp::base::Printer::getInstance(), sgpp::base::Grid::getStorage(), sgpp::base::Printer::printStatusBegin(), sgpp::base::Printer::printStatusEnd(), sgpp::base::Printer::printStatusNewLine(), and sgpp::base::Printer::printStatusUpdate().

undoRefinement()

void sgpp::optimization::IterativeGridGenerator::undoRefinement ( size_t  oldGridSize )

protected

Removes grid points with indices [oldGridSize, oldGridSize + 1, ..., grid.getSize() - 1] from the grid.

Parameters

oldGridSize

number of grid points after removal

References sgpp::base::Grid::getStorage(), and grid.

Referenced by sgpp::optimization::IterativeGridGeneratorFuzzyRitterNovak::generate(), sgpp::optimization::IterativeGridGeneratorLinearSurplus::generate(), sgpp::optimization::IterativeGridGeneratorRitterNovak::generate(), and sgpp::optimization::IterativeGridGeneratorSOO::generate().

Member Data Documentation

f

base::ScalarFunction& sgpp::optimization::IterativeGridGenerator::f

protected

objective function

Referenced by evalFunction(), sgpp::optimization::IterativeGridGeneratorFuzzyRitterNovak::generate(), sgpp::optimization::IterativeGridGeneratorRitterNovak::generate(), sgpp::optimization::IterativeGridGeneratorSOO::generate(), sgpp::optimization::IterativeGridGeneratorLinearSurplus::IterativeGridGeneratorLinearSurplus(), and python.uq.refinement.RefinementStrategy.PredictiveRanking::rank().

functionValues

base::DataVector sgpp::optimization::IterativeGridGenerator::functionValues

protected

vector of function values at the grid points

Referenced by evalFunction(), sgpp::optimization::IterativeGridGeneratorFuzzyRitterNovak::generate(), sgpp::optimization::IterativeGridGeneratorLinearSurplus::generate(), sgpp::optimization::IterativeGridGeneratorRitterNovak::generate(), sgpp::optimization::IterativeGridGeneratorSOO::generate(), getFunctionValues(), and printIterativeGridGenerator().

grid

base::Grid& sgpp::optimization::IterativeGridGenerator::grid

protected

underlying 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(), evalFunction(), sgpp::optimization::IterativeGridGeneratorFuzzyRitterNovak::generate(), sgpp::optimization::IterativeGridGeneratorLinearSurplus::generate(), sgpp::optimization::IterativeGridGeneratorRitterNovak::generate(), sgpp::optimization::IterativeGridGeneratorSOO::generate(), python.tools.Matrix::generateb(), python.controller.CheckpointController.CheckpointController::generateFoldValidationJob(), python.uq.learner.SimulationLearner.SimulationLearner::getCollocationNodes(), getGrid(), python.uq.learner.SimulationLearner.SimulationLearner::getGrid(), python.uq.learner.SimulationLearner.SimulationLearner::getLearner(), sgpp::optimization::IterativeGridGeneratorLinearSurplus::IterativeGridGeneratorLinearSurplus(), 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(), 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(), undoRefinement(), and python.uq.dists.SGDEdist.SGDEdist::var().

N

size_t sgpp::optimization::IterativeGridGenerator::N

protected

maximal number of grid points

Referenced by sgpp::optimization::IterativeGridGeneratorFuzzyRitterNovak::generate(), sgpp::optimization::IterativeGridGeneratorLinearSurplus::generate(), sgpp::optimization::IterativeGridGeneratorRitterNovak::generate(), and sgpp::optimization::IterativeGridGeneratorSOO::generate().

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

• optimization/src/sgpp/optimization/gridgen/IterativeGridGenerator.hpp
• optimization/src/sgpp/optimization/gridgen/IterativeGridGenerator.cpp