/usr/include/openturns/KarhunenLoeveQuadratureAlgorithm.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 class implements the computation of the Karhunen-Loeve
* basis and eigenvalues of a given covariance model based on
* quadrature approximation.
*
* 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_KARHUNENLOEVEQuadratureALGORITHM_HXX
#define OPENTURNS_KARHUNENLOEVEQuadratureALGORITHM_HXX
#include "openturns/KarhunenLoeveAlgorithmImplementation.hxx"
#include "openturns/Domain.hxx"
#include "openturns/WeightedExperiment.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class KarhunenLoeveQuadratureAlgorithm
*/
class OT_API KarhunenLoeveQuadratureAlgorithm
: public KarhunenLoeveAlgorithmImplementation
{
CLASSNAME;
public:
/** Default constructor without parameters */
KarhunenLoeveQuadratureAlgorithm();
/** Parameter constructor */
KarhunenLoeveQuadratureAlgorithm(const Domain & domain,
const CovarianceModel & covariance,
const WeightedExperiment & experiment,
const Basis & basis,
const UnsignedInteger basisSize,
const Bool mustScale,
const Scalar threshold = 0.0);
/** Parameter constructor for the Legendre/GaussProduct case */
KarhunenLoeveQuadratureAlgorithm(const Domain & domain,
const CovarianceModel & covariance,
const UnsignedInteger basisSize,
const Scalar threshold = 0.0);
/** Virtual copy constructor */
virtual KarhunenLoeveQuadratureAlgorithm * clone() const;
/** Solve the Fredholm eigenvalues problem:
* find (\phi_k, \lambda_k) such that
* \int_{D} C(s,t)\phi_k(s)ds=\lambda_k\phi_k(t)
* where C is a given covariance model, using Quadrature approximation
*/
void run();
/** Domain accessor */
Domain getDomain() const;
/** Experiment accessor */
WeightedExperiment getExperiment() const;
/** Basis accessor */
Basis getBasis() const;
/** BasisSize accessor */
UnsignedInteger getBasisSize() const;
/** MustScale accessor */
Bool getMustScale() const;
/** String converter */
virtual String __repr__() const;
/** String converter */
virtual String __str__(const String & offset = "") 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);
private:
/** Underlying domain */
Domain domain_;
/** Experiment */
WeightedExperiment experiment_;
/** Basis */
Basis basis_;
/** Basis size */
UnsignedInteger basisSize_;
/** Scaling flag */
Bool mustScale_;
} ; /* class KarhunenLoeveQuadratureAlgorithm */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_KARHUNENLOEVEQuadratureALGORITHM_HXX */
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