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author | dereeper |
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date | Tue, 08 Jan 2019 08:46:57 -0500 |
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/* Copyright 2008,2009,2012 Stéphane De Mita, Mathieu Siol Adapted from MStrat, developed by Charles-Edouard Coste, Thomas M. Bataillon, Mathieu Cotisson, Guy Decoux, Chistophe Rozale, Daniel J. Schoen and Jacques L. David. This file is part of the EggLib library. EggLib 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 3 of the License, or (at your option) any later version. EggLib 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 EggLib. If not, see <http://www.gnu.org/licenses/>. */ #ifndef EGGLIB_RANDOM_HPP #define EGGLIB_RANDOM_HPP namespace egglib { /** \brief Pseudo-random number generator * * \ingroup core * * Random is a pseudo-random number generator, adapted from a part of MStrat, * developed by Charles-Edouard Coste, Thomas M. Bataillon, Mathieu Cotisson, * Guy Decoux, Chistophe Rozale, Daniel J. Schoen and Jacques L. David. * * It uses two different seeds. By default, they are initialized to available * arbitrary values. However, a given sequence can be repeated by passing the * same two seeds. * */ class Random { public: /** \brief Initializes using default seeds * * Uses the current system time and the memory address of the object as an attempt to generate unique sequences. */ Random(); /** \brief Initializes using given seeds * * This constructor can be used to reproduce a given sequence. */ Random(double seed1, double seed2); /** \brief Draws a number from an exponential distribution * * \param expectation the distribution mean (also 1/lambda * where lambda is the rate parameter). * */ double erand(double expectation); /** \brief Draws an integer from a uniform distribution bound by 0 and max (max is not included) * * max is not included. * */ unsigned int irand(unsigned int max); /** \brief Draws an integer from a Poisson distribution with parameter p * * The Poisson transformation algorithm was taken from (in French) * http://www.u-picardie.fr/~cochard/IEM/demos/C107/C107_3.htm. */ unsigned int prand(double p); /** \brief Draws a number from a normal distribution of expectation 0 and variance 1 * * The algorithm used is the polar form of the Box-Muller * algorithm. \todo use the Ziggurat algorithm for the * nrand() method of Random. * */ double nrand(); /** \brief Draws a number from a geometric law * * \param param the parameter of the law * */ unsigned int grand(double); /** \brief Draws a number from a uniform distribution between 0 and 1 * */ double uniform(); /** \brief Gets the current value of the first seed * */ double seed1() const; /** \brief Gets the current value of the second seed * */ double seed2() const; /** \brief Sets the current value of the first seed * */ void seed1(double); /** \brief Sets the current value of the second seed * */ void seed2(double); private: // First seed double _seed1; // Second seed double _seed2; /* since the normal random generator draws two numbers at * a time, one is cached and returned at any subsequent call */ bool b_ncached; double v_ncached; }; } #endif