/usr/include/openturns/Gamma.hxx is in libopenturns-dev 1.2-2.
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/**
* @file Gamma.hxx
* @brief The Gamma distribution
*
* 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 schueller
* @date 2012-02-17 19:35:43 +0100 (Fri, 17 Feb 2012)
*/
#ifndef OPENTURNS_GAMMA_HXX
#define OPENTURNS_GAMMA_HXX
#include "OTprivate.hxx"
#include "NonEllipticalDistribution.hxx"
#include "ResourceMap.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class Gamma
*
* The Gamma distribution.
*/
class Gamma
: public NonEllipticalDistribution
{
CLASSNAME;
public:
enum ParameterSet { KLAMBDA, MUSIGMA };
typedef Pointer<DistributionImplementation> Implementation;
/** Default constructor */
Gamma();
/** Parameters constructor */
Gamma(const NumericalScalar arg1,
const NumericalScalar arg2,
const NumericalScalar gamma = 0.0,
const ParameterSet set = KLAMBDA);
/** Comparison operator */
Bool operator ==(const Gamma & other) const;
/** String converter */
String __repr__() const;
String __str__(const String & offset = "") const;
/* Interface inherited from Distribution */
/** Virtual constructor */
virtual Gamma * clone() const;
/** Get one realization of the distribution */
NumericalPoint getRealization() const;
/** Get the DDF of the distribution */
using NonEllipticalDistribution::computeDDF;
NumericalPoint computeDDF(const NumericalPoint & point) const;
/** Get the PDF of the distribution */
using NonEllipticalDistribution::computePDF;
NumericalScalar computePDF(const NumericalPoint & point) const;
using NonEllipticalDistribution::computeLogPDF;
NumericalScalar computeLogPDF(const NumericalPoint & point) const;
/** Get the CDF of the distribution */
using NonEllipticalDistribution::computeCDF;
NumericalScalar computeCDF(const NumericalPoint & point) const;
using NonEllipticalDistribution::computeComplementaryCDF;
NumericalScalar computeComplementaryCDF(const NumericalPoint & point) const;
/** Get the characteristic function of the distribution, i.e. phi(u) = E(exp(I*u*X)) */
NumericalComplex computeCharacteristicFunction(const NumericalScalar x) const;
NumericalComplex computeLogCharacteristicFunction(const NumericalScalar x) const;
/** Get the PDFGradient of the distribution */
NumericalPoint computePDFGradient(const NumericalPoint & point) const;
/** Get the CDFGradient of the distribution */
NumericalPoint computeCDFGradient(const NumericalPoint & point) const;
/** Get the standard deviation of the distribution */
NumericalPoint getStandardDeviation() const;
/** Get the skewness of the distribution */
NumericalPoint getSkewness() const;
/** Get the kurtosis of the distribution */
NumericalPoint getKurtosis() const;
/** Get the raw moments of the standardized distribution */
NumericalPoint getStandardMoment(const UnsignedLong n) const;
/** Get the standard representative in the parametric family, associated with the standard moments */
Implementation getStandardRepresentative() const;
/** Parameters value and description accessor */
NumericalPointWithDescriptionCollection getParametersCollection() const;
using NonEllipticalDistribution::setParametersCollection;
void setParametersCollection(const NumericalPointCollection & parametersCollection);
/* Interface specific to Gamma */
/** K accessor */
void setK(const NumericalScalar k);
NumericalScalar getK() const;
/** Lambda accessor */
void setLambda(const NumericalScalar lambda);
NumericalScalar getLambda() const;
/** K and lambda accessor */
void setKLambda(const NumericalScalar k,
const NumericalScalar lambda);
/** Mu accessor */
void setMuSigma(const NumericalScalar mu,
const NumericalScalar sigma);
NumericalScalar getMu() const;
/** Sigma accessor */
NumericalScalar getSigma() const;
/** Gamma accessor */
void setGamma(const NumericalScalar gamma);
NumericalScalar getGamma() 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:
private:
/** Compute the mean of the distribution */
void computeMean() const;
/** Compute the covariance of the distribution */
void computeCovariance() const;
/** Get the quantile of the distribution */
NumericalScalar computeScalarQuantile(const NumericalScalar prob,
const Bool tail = false,
const NumericalScalar precision = ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultQuantileEpsilon")) const;
/** Compute the numerical range of the distribution given the parameters values */
void computeRange();
/** Update the derivative attributes */
void update();
/** The main parameter set of the distribution */
NumericalScalar k_;
NumericalScalar lambda_;
NumericalScalar gamma_;
NumericalScalar normalizationFactor_;
}; /* class Gamma */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_GAMMA_HXX */
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