/usr/include/openturns/Bernoulli.hxx is in libopenturns-dev 1.2-2.
This file is owned by root:root, with mode 0o644.
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/**
* @file Bernoulli.hxx
* @brief The Bernoulli 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 dutka
* @date 2010-07-12 15:45:44 +0200 (lun. 12 juil. 2010)
*/
#ifndef OPENTURNS_BERNOULLI_HXX
#define OPENTURNS_BERNOULLI_HXX
#include "OTprivate.hxx"
#include "DiscreteDistribution.hxx"
#include "ResourceMap.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class Bernoulli
*
* The Bernoulli distribution.
*/
class Bernoulli
: public DiscreteDistribution
{
CLASSNAME;
public:
/** Default constructor */
Bernoulli();
/** Parameters constructor */
Bernoulli(const NumericalScalar p);
/** Comparison operator */
Bool operator ==(const Bernoulli & other) const;
/** String converter */
String __repr__() const;
String __str__(const String & offset = "") const;
/* Interface inherited from Distribution */
/** Virtual constructor */
virtual Bernoulli * clone() const;
/** Get one realization of the distribution */
NumericalPoint getRealization() const;
/** Get the PDF of the distribution */
using DiscreteDistribution::computePDF;
NumericalScalar computePDF(const NumericalPoint & point) const;
/** Get the CDF of the distribution */
using DiscreteDistribution::computeCDF;
NumericalScalar computeCDF(const NumericalPoint & point) 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;
/** Compute the characteristic function, i.e. phi(u) = E(exp(I*u*X)) */
NumericalComplex computeCharacteristicFunction(const NumericalScalar x) const;
/** Compute the generating function, i.e. psi(z) = E(z^X) */
NumericalComplex computeGeneratingFunction(const NumericalComplex & z) const;
/** Get the support of a discrete distribution that intersect a given interval */
using DistributionImplementation::getSupport;
NumericalSample getSupport(const Interval & interval) 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;
/** Parameters value and description accessor */
NumericalPointWithDescriptionCollection getParametersCollection() const;
using DiscreteDistribution::setParametersCollection;
void setParametersCollection(const NumericalPointCollection & parametersCollection);
/* Interface specific to Bernoulli */
/** P accessor */
void setP(const NumericalScalar p);
NumericalScalar getP() 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;
/** Compute the numerical range of the distribution given the parameters values */
void computeRange();
/** Get the quantile of the distribution */
NumericalScalar computeScalarQuantile(const NumericalScalar prob,
const Bool tail = false,
const NumericalScalar precision = ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultQuantileEpsilon")) const;
/** The probability parameter of the Bernoulli distribution */
NumericalScalar p_;
}; /* class Bernoulli */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_BERNOULLI_HXX */
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