/usr/include/openturns/LogUniform.hxx is in libopenturns-dev 1.7-3.
This file is owned by root:root, with mode 0o644.
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/**
* @brief The LogUniform distribution
*
* Copyright 2005-2015 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_LOGUNIFORM_HXX
#define OPENTURNS_LOGUNIFORM_HXX
#include "ContinuousDistribution.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class LogUniform
*
* The LogUniform distribution.
*/
class OT_API LogUniform
: public ContinuousDistribution
{
CLASSNAME;
public:
/** Default constructor */
LogUniform();
/** Parameters constructor */
LogUniform(const NumericalScalar aLog,
const NumericalScalar bLog);
/** Comparison operator */
Bool operator ==(const LogUniform & other) const;
/** String converter */
String __repr__() const;
String __str__(const String & offset = "") const;
/* Interface inherited from Distribution */
/** Virtual constructor */
virtual LogUniform * clone() const;
/** Get one realization of the distribution */
NumericalPoint getRealization() const;
/** Get the DDF of the distribution, i.e. the gradient of its PDF w.r.t. point */
using ContinuousDistribution::computeDDF;
NumericalPoint computeDDF(const NumericalPoint & point) const;
/** Get the PDF of the distribution, i.e. P(point < X < point+dx) = PDF(point)dx + o(dx) */
using ContinuousDistribution::computePDF;
NumericalScalar computePDF(const NumericalPoint & point) const;
/** Get the CDF of the distribution, i.e. P(X <= point) = CDF(point) */
using ContinuousDistribution::computeCDF;
NumericalScalar computeCDF(const NumericalPoint & point) const;
using ContinuousDistribution::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;
/** Get the gradient of the PDF w.r.t the parameters of the distribution */
using ContinuousDistribution::computePDFGradient;
NumericalPoint computePDFGradient(const NumericalPoint & point) const;
/** Get the gradient of the CDF w.r.t the parameters of the distribution */
using ContinuousDistribution::computeCDFGradient;
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 UnsignedInteger n) const;
/** Parameters value accessors */
void setParameter(const NumericalPoint & parameter);
NumericalPoint getParameter() const;
/** Parameters description accessor */
Description getParameterDescription() const;
/* Interface specific to LogUniform */
/** ALog accessor */
void setALog(const NumericalScalar aLog);
NumericalScalar getALog() const;
/** BLog accessor */
void setBLog(const NumericalScalar bLog);
NumericalScalar getBLog() 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, i.e the value Xp such that P(X <= Xp) = prob */
NumericalScalar computeScalarQuantile(const NumericalScalar prob,
const Bool tail = false) const;
/** Compute the numerical range of the distribution given the parameters values */
void computeRange();
/** The main parameter set of the distribution */
/** Lower bound on the logarithmic scale */
NumericalScalar aLog_;
/** Upper bound on the logarithmic scale */
NumericalScalar bLog_;
/** Derivative parameters */
/** Lower bound on the natural scale */
NumericalScalar a_;
/** Upper bound on the natural scale */
NumericalScalar b_;
}; /* class LogUniform */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_LOGUNIFORM_HXX */
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