/usr/include/openturns/FunctionalChaosAlgorithm.hxx is in libopenturns-dev 1.9-5.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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/**
* @brief The class building chaos expansions
*
* Copyright 2005-2017 Airbus-EDF-IMACS-Phimeca
*
* This library is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* along with this library. If not, see <http://www.gnu.org/licenses/>.
*
*/
#ifndef OPENTURNS_FUNCTIONALCHAOSALGORITHM_HXX
#define OPENTURNS_FUNCTIONALCHAOSALGORITHM_HXX
#include "openturns/MetaModelResult.hxx"
#include "openturns/MetaModelAlgorithm.hxx"
#include "openturns/Indices.hxx"
#include "openturns/Point.hxx"
#include "openturns/Function.hxx"
#include "openturns/Distribution.hxx"
#include "openturns/AdaptiveStrategy.hxx"
#include "openturns/ProjectionStrategy.hxx"
#include "openturns/FunctionalChaosResult.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class FunctionalChaosAlgorithm
*
* The class building chaos expansions
*/
class OT_API FunctionalChaosAlgorithm
: public MetaModelAlgorithm
{
CLASSNAME;
public:
/** Constructor */
FunctionalChaosAlgorithm(const Function & model,
const Distribution & distribution,
const AdaptiveStrategy & adaptiveStrategy,
const ProjectionStrategy & projectionStrategy);
/** Constructor */
FunctionalChaosAlgorithm(const Sample & inputSample,
const Sample & outputSample,
const Distribution & distribution,
const AdaptiveStrategy & adaptiveStrategy,
const ProjectionStrategy & projectionStrategy);
/** Constructor */
FunctionalChaosAlgorithm(const Sample & inputSample,
const Point & weights,
const Sample & outputSample,
const Distribution & distribution,
const AdaptiveStrategy & adaptiveStrategy,
const ProjectionStrategy & projectionStrategy);
/** Constructor */
FunctionalChaosAlgorithm(const Function & model,
const Distribution & distribution,
const AdaptiveStrategy & adaptiveStrategy);
/** Constructor */
FunctionalChaosAlgorithm(const Sample & inputSample,
const Sample & outputSample,
const Distribution & distribution,
const AdaptiveStrategy & adaptiveStrategy);
/** Constructor */
FunctionalChaosAlgorithm(const Sample & inputSample,
const Sample & outputSample);
/** Constructor */
FunctionalChaosAlgorithm(const Sample & inputSample,
const Point & weights,
const Sample & outputSample,
const Distribution & distribution,
const AdaptiveStrategy & adaptiveStrategy);
/** Virtual constructor */
virtual FunctionalChaosAlgorithm * clone() const;
/** String converter */
virtual String __repr__() const;
/** Maximum residual accessors */
void setMaximumResidual(Scalar residual);
Scalar getMaximumResidual() const;
/** Projection strategy accessor */
void setProjectionStrategy(const ProjectionStrategy & projectionStrategy);
ProjectionStrategy getProjectionStrategy() const;
AdaptiveStrategy getAdaptiveStrategy() const;
/** Computes the functional chaos */
void run();
/** Get the functional chaos result */
FunctionalChaosResult getResult() const;
/** Sample accessors */
Sample getInputSample() const;
Sample getOutputSample() const;
/** Method save() stores the object through the StorageManager */
virtual void save(Advocate & adv) const;
/** Method load() reloads the object from the StorageManager */
virtual void load(Advocate & adv);
protected:
friend class Factory<FunctionalChaosAlgorithm>;
/** Default constructor */
FunctionalChaosAlgorithm();
private:
/** Marginal computation */
void runMarginal(const UnsignedInteger marginalIndex,
Indices & indices,
Point & coefficients,
Scalar & residual,
Scalar & relativeError);
/** The isoprobabilistic transformation maps the distribution into the orthogonal measure */
Function transformation_;
/** The inverse isoprobabilistic transformation */
Function inverseTransformation_;
/** The composed model */
Function composedModel_;
/** The adaptive strategy */
AdaptiveStrategy adaptiveStrategy_;
/** The projection strategy */
ProjectionStrategy projectionStrategy_;
/** Maximum residual */
Scalar maximumResidual_;
/** Result of the projection */
FunctionalChaosResult result_;
} ; /* class FunctionalChaosAlgorithm */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_FUNCTIONALCHAOSALGORITHM_HXX */
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