/usr/include/openturns/ProjectionStrategyImplementation.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 This is a abstract class for projection strategy implementations
*
* 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_PROJECTIONSTRATEGYIMPLEMENTATION_HXX
#define OPENTURNS_PROJECTIONSTRATEGYIMPLEMENTATION_HXX
#include "openturns/PersistentObject.hxx"
#include "openturns/Point.hxx"
#include "openturns/Distribution.hxx"
#include "openturns/Collection.hxx"
#include "openturns/Function.hxx"
#include "openturns/Indices.hxx"
#include "openturns/WeightedExperiment.hxx"
#include "openturns/Pointer.hxx"
#include "openturns/Sample.hxx"
#include "openturns/Basis.hxx"
#include "openturns/DesignProxy.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class ProjectionStrategyImplementation
*
* This is a abstract class for projection strategy implementations
*/
class OT_API 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<Function> FunctionCollection;
// 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 Sample & inputSample,
const Point & weights,
const Sample & 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 Sample getInputSample() const;
virtual Sample getOutputSample() const;
/** Weights accessor */
virtual Point getWeights() const;
/** Residual accessor */
virtual Scalar getResidual() const;
/** Relative error accessor */
virtual Scalar getRelativeError() const;
/** Relative error accessor */
virtual Point getCoefficients() const;
/** Experiment accessors */
virtual void setExperiment(const WeightedExperiment & weightedExperiment);
virtual WeightedExperiment getExperiment() const;
/** Compute the components alpha_k_p_ by projecting the model on the partial L2 basis */
virtual void computeCoefficients(const Function & function,
const Basis & basis,
const Indices & indices,
const Indices & addedRanks,
const Indices & conservedRanks,
const Indices & removedRanks,
const UnsignedInteger 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 */
Point alpha_k_p_;
/** Residual */
Scalar residual_p_;
/** Relative error */
Scalar relativeError_p_;
/** The measureing function for projection */
Distribution measure_;
// An experiment that will be used to discretize the L2 integral
WeightedExperiment weightedExperiment_;
// The input sample which will be used for the projection
Sample inputSample_;
// The weights associated with the sample
Point weights_;
// The sample value of the model
Sample outputSample_;
// Proxy to speed up evaluations of the basis over the input sample
DesignProxy proxy_;
private:
} ; /* class ProjectionStrategyImplementation */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_PROJECTIONSTRATEGYIMPLEMENTATION_HXX */
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