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			185 lines
		
	
	
		
			5.9 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
|   | /* boost random/beta_distribution.hpp header file | ||
|  |  * | ||
|  |  * Copyright Steven Watanabe 2014 | ||
|  |  * Distributed under the Boost Software License, Version 1.0. (See | ||
|  |  * accompanying file LICENSE_1_0.txt or copy at | ||
|  |  * http://www.boost.org/LICENSE_1_0.txt) | ||
|  |  * | ||
|  |  * See http://www.boost.org for most recent version including documentation. | ||
|  |  * | ||
|  |  * $Id$ | ||
|  |  */ | ||
|  | 
 | ||
|  | #ifndef BOOST_RANDOM_BETA_DISTRIBUTION_HPP | ||
|  | #define BOOST_RANDOM_BETA_DISTRIBUTION_HPP | ||
|  | 
 | ||
|  | #include <cassert> | ||
|  | #include <istream> | ||
|  | #include <iosfwd> | ||
|  | #include <boost/random/detail/operators.hpp> | ||
|  | #include <boost/random/gamma_distribution.hpp> | ||
|  | 
 | ||
|  | namespace boost { | ||
|  | namespace random { | ||
|  | 
 | ||
|  | /** | ||
|  |  * The beta distribution is a real-valued distribution which produces | ||
|  |  * values in the range [0, 1].  It has two parameters, alpha and beta. | ||
|  |  * | ||
|  |  * It has \f$\displaystyle p(x) = \frac{x^{\alpha-1}(1-x)^{\beta-1}}{B(\alpha, \beta)}\f$. | ||
|  |  */ | ||
|  | template<class RealType = double> | ||
|  | class beta_distribution { | ||
|  | public: | ||
|  |     typedef RealType result_type; | ||
|  |     typedef RealType input_type; | ||
|  | 
 | ||
|  |     class param_type { | ||
|  |     public: | ||
|  |         typedef beta_distribution distribution_type; | ||
|  | 
 | ||
|  |         /** | ||
|  |          * Constructs a @c param_type from the "alpha" and "beta" parameters | ||
|  |          * of the distribution. | ||
|  |          * | ||
|  |          * Requires: alpha > 0, beta > 0 | ||
|  |          */ | ||
|  |         explicit param_type(RealType alpha_arg = RealType(1.0), | ||
|  |                             RealType beta_arg = RealType(1.0)) | ||
|  |           : _alpha(alpha_arg), _beta(beta_arg) | ||
|  |         { | ||
|  |             assert(alpha_arg > 0); | ||
|  |             assert(beta_arg > 0); | ||
|  |         } | ||
|  | 
 | ||
|  |         /** Returns the "alpha" parameter of the distribtuion. */ | ||
|  |         RealType alpha() const { return _alpha; } | ||
|  |         /** Returns the "beta" parameter of the distribution. */ | ||
|  |         RealType beta() const { return _beta; } | ||
|  | 
 | ||
|  |         /** Writes a @c param_type to a @c std::ostream. */ | ||
|  |         BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm) | ||
|  |         { os << parm._alpha << ' ' << parm._beta; return os; } | ||
|  | 
 | ||
|  |         /** Reads a @c param_type from a @c std::istream. */ | ||
|  |         BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm) | ||
|  |         { is >> parm._alpha >> std::ws >> parm._beta; return is; } | ||
|  | 
 | ||
|  |         /** Returns true if the two sets of parameters are the same. */ | ||
|  |         BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs) | ||
|  |         { return lhs._alpha == rhs._alpha && lhs._beta == rhs._beta; } | ||
|  |          | ||
|  |         /** Returns true if the two sets of parameters are the different. */ | ||
|  |         BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type) | ||
|  | 
 | ||
|  |     private: | ||
|  |         RealType _alpha; | ||
|  |         RealType _beta; | ||
|  |     }; | ||
|  | 
 | ||
|  |     /** | ||
|  |      * Constructs an @c beta_distribution from its "alpha" and "beta" parameters. | ||
|  |      * | ||
|  |      * Requires: alpha > 0, beta > 0 | ||
|  |      */ | ||
|  |     explicit beta_distribution(RealType alpha_arg = RealType(1.0), | ||
|  |                                RealType beta_arg = RealType(1.0)) | ||
|  |       : _alpha(alpha_arg), _beta(beta_arg) | ||
|  |     { | ||
|  |         assert(alpha_arg > 0); | ||
|  |         assert(beta_arg > 0); | ||
|  |     } | ||
|  |     /** Constructs an @c beta_distribution from its parameters. */ | ||
|  |     explicit beta_distribution(const param_type& parm) | ||
|  |       : _alpha(parm.alpha()), _beta(parm.beta()) | ||
|  |     {} | ||
|  | 
 | ||
|  |     /** | ||
|  |      * Returns a random variate distributed according to the | ||
|  |      * beta distribution. | ||
|  |      */ | ||
|  |     template<class URNG> | ||
|  |     RealType operator()(URNG& urng) const | ||
|  |     { | ||
|  |         RealType a = gamma_distribution<RealType>(_alpha, RealType(1.0))(urng); | ||
|  |         RealType b = gamma_distribution<RealType>(_beta, RealType(1.0))(urng); | ||
|  |         return a / (a + b); | ||
|  |     } | ||
|  | 
 | ||
|  |     /** | ||
|  |      * Returns a random variate distributed accordint to the beta | ||
|  |      * distribution with parameters specified by @c param. | ||
|  |      */ | ||
|  |     template<class URNG> | ||
|  |     RealType operator()(URNG& urng, const param_type& parm) const | ||
|  |     { | ||
|  |         return beta_distribution(parm)(urng); | ||
|  |     } | ||
|  | 
 | ||
|  |     /** Returns the "alpha" parameter of the distribution. */ | ||
|  |     RealType alpha() const { return _alpha; } | ||
|  |     /** Returns the "beta" parameter of the distribution. */ | ||
|  |     RealType beta() const { return _beta; } | ||
|  | 
 | ||
|  |     /** Returns the smallest value that the distribution can produce. */ | ||
|  |     RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const | ||
|  |     { return RealType(0.0); } | ||
|  |     /** Returns the largest value that the distribution can produce. */ | ||
|  |     RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const | ||
|  |     { return RealType(1.0); } | ||
|  | 
 | ||
|  |     /** Returns the parameters of the distribution. */ | ||
|  |     param_type param() const { return param_type(_alpha, _beta); } | ||
|  |     /** Sets the parameters of the distribution. */ | ||
|  |     void param(const param_type& parm) | ||
|  |     { | ||
|  |         _alpha = parm.alpha(); | ||
|  |         _beta = parm.beta(); | ||
|  |     } | ||
|  | 
 | ||
|  |     /** | ||
|  |      * Effects: Subsequent uses of the distribution do not depend | ||
|  |      * on values produced by any engine prior to invoking reset. | ||
|  |      */ | ||
|  |     void reset() { } | ||
|  | 
 | ||
|  |     /** Writes an @c beta_distribution to a @c std::ostream. */ | ||
|  |     BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, beta_distribution, wd) | ||
|  |     { | ||
|  |         os << wd.param(); | ||
|  |         return os; | ||
|  |     } | ||
|  | 
 | ||
|  |     /** Reads an @c beta_distribution from a @c std::istream. */ | ||
|  |     BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, beta_distribution, wd) | ||
|  |     { | ||
|  |         param_type parm; | ||
|  |         if(is >> parm) { | ||
|  |             wd.param(parm); | ||
|  |         } | ||
|  |         return is; | ||
|  |     } | ||
|  | 
 | ||
|  |     /** | ||
|  |      * Returns true if the two instances of @c beta_distribution will | ||
|  |      * return identical sequences of values given equal generators. | ||
|  |      */ | ||
|  |     BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(beta_distribution, lhs, rhs) | ||
|  |     { return lhs._alpha == rhs._alpha && lhs._beta == rhs._beta; } | ||
|  |      | ||
|  |     /** | ||
|  |      * Returns true if the two instances of @c beta_distribution will | ||
|  |      * return different sequences of values given equal generators. | ||
|  |      */ | ||
|  |     BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(beta_distribution) | ||
|  | 
 | ||
|  | private: | ||
|  |     RealType _alpha; | ||
|  |     RealType _beta; | ||
|  | }; | ||
|  | 
 | ||
|  | } // namespace random | ||
|  | } // namespace boost | ||
|  | 
 | ||
|  | #endif // BOOST_RANDOM_BETA_DISTRIBUTION_HPP |