source: src/RandomNumbers/RandomNumberDistribution_Encapsulation.cpp@ ff4fff9

/*
 * Project: MoleCuilder
 * Description: creates and alters molecular systems
 * Copyright (C)  2010-2012 University of Bonn. All rights reserved.
 * 
 *
 *   This file is part of MoleCuilder.
 *
 *    MoleCuilder is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation, either version 2 of the License, or
 *    (at your option) any later version.
 *
 *    MoleCuilder 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 General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with MoleCuilder.  If not, see <http://www.gnu.org/licenses/>.
 */

/*
 * \file RandomNumberDistribution_Encapsulation_impl.hpp
 *
 * Herein we place specializations of specific functions for specific distributions.
 *
 *  Created on: Jan 5, 2011
 *      Author: heber
 */

// include config.h
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif

#include "CodePatterns/MemDebug.hpp"

#include <limits>

#include "RandomNumberDistribution_Encapsulation.hpp"

/* =========  manipulatedclone() ================ */

template <>
RandomNumberDistribution_Encapsulation< boost::uniform_smallint<> >::
RandomNumberDistribution_Encapsulation (const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.min, _params.max)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::uniform_int<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.min, _params.max)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::uniform_real<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.min, _params.max)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::bernoulli_distribution<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.p)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type((int)_params.t, _params.p)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.median, _params.sigma)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::gamma_distribution<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.alpha)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::poisson_distribution<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.mean)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::geometric_distribution<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.p)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.a, _params.b, _params.c)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::exponential_distribution<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.lambda)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.mean, _params.sigma)
{}

template <>
RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::
RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
  distribution_type(_params.mean, _params.sigma)
{}

/* ===============  min() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::uniform_smallint<> >::min() const
{
        return distribution_type.min();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::uniform_int<> >::min() const
{
        return distribution_type.min();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::uniform_01<> >::min() const
{
        return distribution_type.min();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::uniform_real<> >::min() const
{
        return distribution_type.min();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::bernoulli_distribution<> >::min() const
{
  return 0.;
}

template <>
double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::min() const
{
  return 0.;
}

template <>
double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::min() const
{
  return std::numeric_limits<double>::min();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::gamma_distribution<> >::min() const
{
  return 0.;
}

template <>
double RandomNumberDistribution_Encapsulation< boost::poisson_distribution<> >::min() const
{
  return 0.;
}

template <>
double RandomNumberDistribution_Encapsulation< boost::geometric_distribution<> >::min() const
{
  return 0.;
}

template <>
double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::min() const
{
  return distribution_type.a();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::exponential_distribution<> >::min() const
{
  return 0.;
}

template <>
double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::min() const
{
  return std::numeric_limits<double>::min();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::min() const
{
  return 0.;
}

/* ===============  max() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::uniform_smallint<> >::max() const
{
  return distribution_type.max();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::uniform_int<> >::max() const
{
  return distribution_type.max();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::uniform_01<> >::max() const
{
  return distribution_type.max();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::uniform_real<> >::max() const
{
  return distribution_type.max();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::bernoulli_distribution<> >::max() const
{
  return 1.;
}

template <>
double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::max() const
{
  return distribution_type.t();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::max() const
{
  return std::numeric_limits<double>::max();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::gamma_distribution<> >::max() const
{
  return std::numeric_limits<double>::max();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::poisson_distribution<> >::max() const
{
  return std::numeric_limits<double>::max();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::geometric_distribution<> >::max() const
{
  return std::numeric_limits<double>::max();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::max() const
{
  return distribution_type.c();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::exponential_distribution<> >::max() const
{
  return std::numeric_limits<double>::max();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::max() const
{
  return std::numeric_limits<double>::max();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::max() const
{
  return std::numeric_limits<double>::max();
}

/* ===============  p() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::bernoulli_distribution<> >::p() const
{
  return distribution_type.p();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::p() const
{
  return distribution_type.p();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::geometric_distribution<> >::p() const
{
  return distribution_type.p();
}


/* ===============  t() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::t() const
{
  return distribution_type.t();
}

/* ===============  median() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::median() const
{
  return distribution_type.median();
}

/* ===============  sigma() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::sigma() const
{
  return distribution_type.sigma();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::sigma() const
{
  return distribution_type.sigma();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::sigma() const
{
  return distribution_type.sigma();
}

/* ===============  alpha() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::gamma_distribution<> >::alpha() const
{
  return distribution_type.alpha();
}


/* ===============  mean() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::poisson_distribution<> >::mean() const
{
  return distribution_type.mean();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::mean() const
{
  return distribution_type.mean();
}

template <>
double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::mean() const
{
  return distribution_type.mean();
}

/* ===============  a() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::a() const
{
  return distribution_type.a();
}


/* ===============  b() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::b() const
{
  return distribution_type.b();
}


/* ===============  c() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::c() const
{
  return distribution_type.c();
}


/* ===============  lambda() ======================= */

template <>
double RandomNumberDistribution_Encapsulation< boost::exponential_distribution<> >::lambda() const
{
  return distribution_type.lambda();
}