/usr/include/openturns/RankMCovarianceModel.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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 | // -*- C++ -*-
/**
*
* 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_RANKMCOVARIANCEMODEL_HXX
#define OPENTURNS_RANKMCOVARIANCEMODEL_HXX
#include "openturns/CovarianceModelImplementation.hxx"
#include "openturns/Basis.hxx"
#include "openturns/Point.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class RankMCovarianceModel
*/
class OT_API RankMCovarianceModel
: public CovarianceModelImplementation
{
CLASSNAME;
public:
/** Default constructor */
explicit RankMCovarianceModel(const UnsignedInteger spatialDimension = 1);
/** Parameters constructor */
RankMCovarianceModel(const Point & variance,
const Basis & basis);
/** Parameters constructor */
RankMCovarianceModel(const CovarianceMatrix & covariance,
const Basis & basis);
/** Virtual copy constructor */
RankMCovarianceModel * clone() const;
/** Computation of the covariance function */
using CovarianceModelImplementation::operator();
CovarianceMatrix operator() (const Point & s,
const Point & t) const;
/** Gradient */
virtual Matrix partialGradient(const Point & s,
const Point & t) const;
/** Covariance accessor */
CovarianceMatrix getCovariance() const;
Point getVariance() const;
/** Basis accessor */
Basis getBasis() const;
Basis::FunctionCollection getFunctions() const;
/** Is it a stationary covariance model ? */
virtual Bool isStationary() const;
/** Specific discretization method */
using CovarianceModelImplementation::discretize;
CovarianceMatrix discretize(const Sample & vertices) 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);
protected:
void setBasis(const Basis & basis);
private:
/** The variance of the rank m decomposition, of dimension>0 only if the covariance is diagonal */
Point variance_;
/** The covariance matrix of the decomposition, of dimension>0 only if not diagonal */
CovarianceMatrix covariance_;
/** The basis of the rank m decomposition */
Basis basis_;
/** The functions involved into the rank m decomposition */
Basis::FunctionPersistentCollection functions_;
} ; /* class RankMCovarianceModel */
END_NAMESPACE_OPENTURNS
#endif
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