/usr/include/openturns/LeastSquaresStrategy.hxx is in libopenturns-dev 1.2-2.
This file is owned by root:root, with mode 0o644.
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/**
* @file LeastSquaresStrategy.hxx
* @brief An implementation of projection strategy as a leastSquares
*
* 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_LEASTSQUARESSTRATEGY_HXX
#define OPENTURNS_LEASTSQUARESSTRATEGY_HXX
#include "ProjectionStrategyImplementation.hxx"
#include "PenalizedLeastSquaresAlgorithmFactory.hxx"
#include "ApproximationAlgorithmImplementationFactory.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class LeastSquaresStrategy
*
* An implementation of projection strategy as a leastSquares
*/
class LeastSquaresStrategy
: public ProjectionStrategyImplementation
{
CLASSNAME;
public:
typedef Pointer<ApproximationAlgorithmImplementationFactory> ApproximationAlgorithmImplementationFactoryImplementation;
// friend class Factory<LeastSquaresStrategy>;
/** Default constructor */
LeastSquaresStrategy(const ApproximationAlgorithmImplementationFactory & factory = PenalizedLeastSquaresAlgorithmFactory());
/** Parameter constructor */
LeastSquaresStrategy(const Distribution & measure,
const ApproximationAlgorithmImplementationFactory & factory = PenalizedLeastSquaresAlgorithmFactory());
/** Parameter constructor */
LeastSquaresStrategy(const WeightedExperiment & weightedExperiment,
const ApproximationAlgorithmImplementationFactory & factory = PenalizedLeastSquaresAlgorithmFactory());
/** Parameter constructor */
LeastSquaresStrategy(const Distribution & measure,
const WeightedExperiment & weightedExperiment,
const ApproximationAlgorithmImplementationFactory & factory = PenalizedLeastSquaresAlgorithmFactory());
/** Parameter constructor */
LeastSquaresStrategy(const NumericalSample & inputSample,
const NumericalPoint & weights,
const NumericalSample & outputSample,
const ApproximationAlgorithmImplementationFactory & factory = PenalizedLeastSquaresAlgorithmFactory());
LeastSquaresStrategy(const NumericalSample & inputSample,
const NumericalSample & outputSample,
const ApproximationAlgorithmImplementationFactory & factory = PenalizedLeastSquaresAlgorithmFactory());
/** Virtual constructor */
virtual LeastSquaresStrategy * clone() const;
/** String converter */
String __repr__() const;
/** Compute the components alpha_k_p_ by projecting the model on the partial L2 basis */
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 */
void save(Advocate & adv) const;
/** Method load() reloads the object from the StorageManager */
void load(Advocate & adv);
protected:
private:
/** Factory to build an ApproximationAlgorithmImplementation */
ApproximationAlgorithmImplementationFactoryImplementation p_approximationAlgorithmImplementationFactory_;
} ; /* class LeastSquaresStrategy */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_LEASTSQUARESSTRATEGY_HXX */
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