/usr/include/openturns/ProjectionStrategyImplementation.hxx is in libopenturns-dev 1.2-2.
This file is owned by root:root, with mode 0o644.
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/**
* @file ProjectionStrategyImplementation.hxx
* @brief This is a abstract class for projection strategy implementations
*
* Copyright (C) 2005-2013 EDF-EADS-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/>.
*
* @author dutka
* @date 2008-05-21 17:44:02 +0200 (Wed, 21 May 2008)
*/
#ifndef OPENTURNS_PROJECTIONSTRATEGYIMPLEMENTATION_HXX
#define OPENTURNS_PROJECTIONSTRATEGYIMPLEMENTATION_HXX
#include "PersistentObject.hxx"
#include "NumericalPoint.hxx"
#include "Distribution.hxx"
#include "Collection.hxx"
#include "NumericalMathFunction.hxx"
#include "Indices.hxx"
#include "WeightedExperiment.hxx"
#include "Pointer.hxx"
#include "NumericalSample.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class ProjectionStrategyImplementation
*
* This is a abstract class for projection strategy implementations
*/
class ProjectionStrategyImplementation
: public PersistentObject
{
CLASSNAME;
// Make the FunctionalChaosAlgorithm class a friend of the ProjectionStrategyImplementation class
// as this last class is in charge of managing data that are part of the FunctionalChaosAlgorithm
// state
friend class FunctionalChaosAlgorithm;
public:
typedef Collection<NumericalMathFunction> NumericalMathFunctionCollection;
typedef Pointer<WeightedExperiment> WeightedExperimentImplementation;
// friend class Factory<ProjectionStrategyImplementation>;
/** Default constructor */
ProjectionStrategyImplementation();
/** Parameter constructor */
ProjectionStrategyImplementation(const Distribution & measure);
/** Parameter constructor */
ProjectionStrategyImplementation(const WeightedExperiment & weightedExperiment);
/** Parameter constructor */
ProjectionStrategyImplementation(const Distribution & measure,
const WeightedExperiment & weightedExperiment);
/** Parameter constructor */
ProjectionStrategyImplementation(const NumericalSample & inputSample,
const NumericalPoint & weights,
const NumericalSample & outputSample);
/** Virtual constructor */
virtual ProjectionStrategyImplementation * clone() const;
/** String converter */
virtual String __repr__() const;
/** Measure accessor */
virtual void setMeasure(const Distribution & measure);
Distribution getMeasure() const;
/** Sample accessors */
virtual NumericalSample getInputSample() const;
virtual NumericalSample getOutputSample() const;
/** Experiment accessors */
virtual void setExperiment(const WeightedExperiment & weightedExperiment);
virtual const WeightedExperiment & getExperiment() const;
/** Compute the components alpha_k_p_ by projecting the model on the partial L2 basis */
virtual void computeCoefficients(const NumericalMathFunction & function,
const NumericalMathFunctionCollection & partialBasis,
const Indices & indices,
const Indices & addedRanks,
const Indices & conservedRanks,
const Indices & removedRanks,
const UnsignedLong marginalIndex = 0);
/** 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:
/** The collection of Alpha_k coefficients */
NumericalPoint alpha_k_p_;
/** Residual */
NumericalScalar residual_p_;
/** Relative error */
NumericalScalar relativeError_p_;
/** The measureing function for projection */
Distribution measure_;
// An experiment that will be used to discretize the L2 integral
WeightedExperimentImplementation p_weightedExperiment_;
// The input sample which will be used for the projection
NumericalSample inputSample_;
// The weights associated with the sample
NumericalPoint weights_;
// The sample value of the model
NumericalSample outputSample_;
private:
} ; /* class ProjectionStrategyImplementation */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_PROJECTIONSTRATEGYIMPLEMENTATION_HXX */
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