/usr/include/openturns/MaximumEntropyOrderStatisticsDistribution.hxx is in libopenturns-dev 1.9-5.
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/**
* @brief The maximum entropy order statistics distribution
*
* 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_MAXIMUMENTROPYORDERSTATISTICSDISTRIBUTION_HXX
#define OPENTURNS_MAXIMUMENTROPYORDERSTATISTICSDISTRIBUTION_HXX
#include "openturns/OTprivate.hxx"
#include "openturns/ContinuousDistribution.hxx"
#include "openturns/PiecewiseHermiteEvaluation.hxx"
#include "openturns/Distribution.hxx"
#include "openturns/GaussKronrod.hxx"
#include "openturns/ResourceMap.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class MaximumEntropyOrderStatisticsDistribution
*
* The maximum entropy order statistics distribution
*/
class OT_API MaximumEntropyOrderStatisticsDistribution
: public ContinuousDistribution
{
CLASSNAME;
/** The MaximumEntropyOrderStatisticsDistributionWrapper class is closely linked with the MaximumEntropyOrderStatisticsDistribution class */
friend struct MaximumEntropyOrderStatisticsDistributionWrapper;
/** The MaximumEntropyOrderStatisticsCopula class is closely linked with the MaximumEntropyOrderStatisticsDistribution class */
friend class MaximumEntropyOrderStatisticsCopula;
public:
/** A type for distribution collection */
typedef Collection<Distribution> DistributionCollection;
typedef PersistentCollection<Distribution> DistributionPersistentCollection;
/** Default constructor */
MaximumEntropyOrderStatisticsDistribution();
/** Parameters constructor */
explicit MaximumEntropyOrderStatisticsDistribution(const DistributionCollection & coll,
const Bool useApproximation = ResourceMap::GetAsBool("MaximumEntropyOrderStatisticsDistribution-UseApproximation"),
const Bool checkMarginals = ResourceMap::GetAsBool("MaximumEntropyOrderStatisticsDistribution-CheckMarginals"));
/** Comparison operator */
Bool operator ==(const MaximumEntropyOrderStatisticsDistribution & other) const;
protected:
Bool equals(const DistributionImplementation & other) const;
public:
/** String converter */
String __repr__() const;
String __str__(const String & offset = "") const;
/** Distribution collection accessor */
void setDistributionCollection(const DistributionCollection & coll,
const Bool useApproximation = ResourceMap::GetAsBool("MaximumEntropyOrderStatisticsDistribution-UseApproximation"),
const Bool checkMarginals = ResourceMap::GetAsBool("MaximumEntropyOrderStatisticsDistribution-CheckMarginals"));
/** Marginal distributions accessor */
DistributionCollection getDistributionCollection() const;
/** Get the copula of a distribution */
Implementation getCopula() const;
/* Interface inherited from Distribution */
/** Virtual constructor */
virtual MaximumEntropyOrderStatisticsDistribution * clone() const;
/** Get one realization of the distribution */
Point getRealization() const;
/** Get the PDF of the distribution */
using ContinuousDistribution::computePDF;
Scalar computePDF(const Point & point) const;
using ContinuousDistribution::computeLogPDF;
Scalar computeLogPDF(const Point & point) const;
/** Get the CDF of the distribution */
using ContinuousDistribution::computeCDF;
Scalar computeCDF(const Point & point) const;
Scalar computeCDFOld(const Point & point) const;
/** Compute the PDF of Xi | X1, ..., Xi-1. x = Xi, y = (X1,...,Xi-1) */
using DistributionImplementation::computeConditionalPDF;
Scalar computeConditionalPDF(const Scalar x, const Point & y) const;
/** Compute the CDF of Xi | X1, ..., Xi-1. x = Xi, y = (X1,...,Xi-1) */
using DistributionImplementation::computeConditionalCDF;
Scalar computeConditionalCDF(const Scalar x, const Point & y) const;
/** Compute the quantile of Xi | X1, ..., Xi-1, i.e. x such that CDF(x|y) = q with x = Xi, y = (X1,...,Xi-1) */
using DistributionImplementation::computeConditionalQuantile;
Scalar computeConditionalQuantile(const Scalar q, const Point & y) const;
/** Get the i-th marginal distribution */
Implementation getMarginal(const UnsignedInteger i) const;
/** Get the distribution of the marginal distribution corresponding to indices dimensions */
Implementation getMarginal(const Indices & indices) const;
private:
MaximumEntropyOrderStatisticsDistribution getMarginalAsMaximumEntropyOrderStatisticsDistribution(const Indices & indices) const;
public:
/** Parameters value and description accessor */
PointWithDescriptionCollection getParametersCollection() const;
using ContinuousDistribution::setParametersCollection;
void setParametersCollection(const PointCollection & parametersCollection);
/** Tell if the distribution uses approximations for the exponential terms */
void useApproximation(const Bool flag = true);
/** Tell if the distribution has elliptical copula */
Bool hasEllipticalCopula() const;
/** Tell if the distribution has independent copula */
Bool hasIndependentCopula() const;
/** Get the kth approximation */
PiecewiseHermiteEvaluation getApproximation(const UnsignedInteger k = 0) const;
/* Interface specific to MaximumEntropyOrderStatisticsDistribution */
/** 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 numerical range of the distribution given the parameters values */
void computeRange();
/** Constructor with no check of the parameters, to speed-up margina creations */
MaximumEntropyOrderStatisticsDistribution(const DistributionCollection & coll,
const Indices & partition,
const Bool useApproximation,
const Collection<PiecewiseHermiteEvaluation> & exponentialFactorApproximation,
const Description & description);
/** Build a C1 interpolation of the exponential factor between two marginals */
PiecewiseHermiteEvaluation interpolateExponentialFactor(const UnsignedInteger lower,
const UnsignedInteger upper,
const UnsignedInteger maximumSubdivision = ResourceMap::GetAsUnsignedInteger("MaximumEntropyOrderStatisticsDistribution-MaximumApproximationSubdivision"),
const Scalar shift = ResourceMap::GetAsScalar("MaximumEntropyOrderStatisticsDistribution-SupportShift")) const;
/** Build a C1 interpolation of the exponential factors in the PDF */
void interpolateExponentialFactors();
public:
/** Compute the exponential factor */
Scalar computeExponentialFactor(const UnsignedInteger k,
const Scalar u,
const Scalar v) const;
/** Compute the factor */
Scalar computeFactor(const UnsignedInteger k,
const Scalar u,
const Scalar v) const;
private:
/** The main parameter set of the distribution */
DistributionPersistentCollection distributionCollection_;
/** partition of non-overlapping marginals */
Indices partition_;
/** Flag to tell if we use approximation for the exponential term */
mutable Bool useApproximation_;
/** interpolation of the exponential factors in the PDF */
Collection<PiecewiseHermiteEvaluation> exponentialFactorApproximation_;
/** Integration algorithm */
GaussKronrod integrator_;
}; /* class MaximumEntropyOrderStatisticsDistribution */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_MAXIMUMENTROPYORDERSTATISTICSDISTRIBUTION_HXX */
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