/usr/include/openturns/StationaryCovarianceModel.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 enables to build a covariance model
*
* 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_STATIONARYCOVARIANCEMODEL_HXX
#define OPENTURNS_STATIONARYCOVARIANCEMODEL_HXX
#include "openturns/CovarianceModel.hxx"
#include "openturns/Pointer.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class StationaryCovarianceModel
*/
class OT_API StationaryCovarianceModel
: public CovarianceModelImplementation
{
CLASSNAME;
public:
/** Constructor with spatial dimension */
explicit StationaryCovarianceModel(const UnsignedInteger spatialDimension = 1);
/** Standard constructor with scale and amplitude parameters parameters */
StationaryCovarianceModel(const Point & scale,
const Point & amplitude);
/** Standard constructor with scale, amplitude and spatial correlation parameters parameters */
StationaryCovarianceModel(const Point & scale,
const Point & amplitude,
const CorrelationMatrix & spatialCorrelation);
/** Standard constructor with scale and spatial covariance parameters parameters */
StationaryCovarianceModel(const Point & scale,
const CovarianceMatrix & spatialCovariance);
/** Virtual copy constructor */
virtual StationaryCovarianceModel * clone() const;
/** Computation of the covariance matrix */
using CovarianceModelImplementation::operator();
virtual CovarianceMatrix operator() (const Point & s,
const Point & t) const;
virtual CovarianceMatrix operator() (const Point & tau) const;
using CovarianceModelImplementation::computeAsScalar;
virtual Scalar computeAsScalar (const Point & s,
const Point & t) const;
virtual Scalar computeAsScalar (const Point & tau) const;
/** Computation of the covariance matrix */
using CovarianceModelImplementation::computeStandardRepresentative;
virtual Scalar computeStandardRepresentative(const Point & s,
const Point & t) const;
virtual Scalar computeStandardRepresentative(const Point & tau) const;
/** Discretize the covariance function on a given TimeGrid */
using CovarianceModelImplementation::discretize;
CovarianceMatrix discretize(const RegularGrid & timeGrid) const;
/** Is the underlying a stationary covariance model ? */
Bool isStationary() const;
/** String converter */
String __repr__() const;
/** String converter */
String __str__(const String & offset = "") const;
/** 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);
} ; /* class StationaryCovarianceModel */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_STATIONARYCOVARIANCEMODEL_HXX */
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