/usr/include/openturns/KarhunenLoeveResultImplementation.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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 | // -*- C++ -*-
/**
* @brief Karhunen-Loeve decomposition and by-products
*
* 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_KARHUNENLOEVERESULTIMPLEMENTATION_HXX
#define OPENTURNS_KARHUNENLOEVERESULTIMPLEMENTATION_HXX
#include "openturns/PersistentObject.hxx"
#include "openturns/CovarianceModel.hxx"
#include "openturns/Point.hxx"
#include "openturns/Basis.hxx"
#include "openturns/Function.hxx"
#include "openturns/ProcessSample.hxx"
#include "openturns/Matrix.hxx"
#include "openturns/Field.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class KarhunenLoeveResultImplementation
*
* Compute the KL decomposition of a given covariance model
*/
class OT_API KarhunenLoeveResultImplementation
: public PersistentObject
{
CLASSNAME;
public:
/** Default constructor */
KarhunenLoeveResultImplementation();
/** Default constructor */
explicit KarhunenLoeveResultImplementation(const CovarianceModel & covariance,
const Scalar threshold,
const Point & eigenvalues,
const Basis & modes,
const ProcessSample & modesAsProcessSample,
const Matrix & projection);
/** Virtual constructor */
virtual KarhunenLoeveResultImplementation * clone() const;
/** Threshold accessor */
Scalar getThreshold() const;
/** Covariance model accessor */
CovarianceModel getCovarianceModel() const;
/** Eigenvalues accessor */
Point getEigenValues() const;
/** Modes accessors */
Basis getModes() const;
ProcessSample getModesAsProcessSample() const;
/** Scaled modes accessors */
Basis getScaledModes() const;
ProcessSample getScaledModesAsProcessSample() const;
/** Projection matrix accessor */
Matrix getProjectionMatrix() const;
/** Projection method */
Point project(const Function & function) const;
Point project(const Field & field) const;
Sample project(const Basis & basis) const;
Sample project(const ProcessSample & sample) const;
/** Lift method */
Function lift(const Point & coefficients) const;
Field liftAsField(const Point & coefficients) const;
/** String converter */
virtual String __repr__() const;
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);
protected:
/** Covariance model */
CovarianceModel covariance_;
/** Threshold */
Scalar threshold_;
/** Eigenvalues */
Point eigenvalues_;
/** Modes */
Basis modes_;
/** Modes as process sample */
ProcessSample modesAsProcessSample_;
/** Projection matrix */
Matrix projection_;
}; /* class KarhunenLoeveResultImplementation */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_KARHUNENLOEVERESULTIMPLEMENTATION_HXX */
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