annotate DEPENDENCIES/generic/include/boost/random/beta_distribution.hpp @ 125:34e428693f5d vext

Vext -> Repoint
author Chris Cannam
date Thu, 14 Jun 2018 11:15:39 +0100
parents f46d142149f5
children
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Chris@102 1 /* boost random/beta_distribution.hpp header file
Chris@102 2 *
Chris@102 3 * Copyright Steven Watanabe 2014
Chris@102 4 * Distributed under the Boost Software License, Version 1.0. (See
Chris@102 5 * accompanying file LICENSE_1_0.txt or copy at
Chris@102 6 * http://www.boost.org/LICENSE_1_0.txt)
Chris@102 7 *
Chris@102 8 * See http://www.boost.org for most recent version including documentation.
Chris@102 9 *
Chris@102 10 * $Id$
Chris@102 11 */
Chris@102 12
Chris@102 13 #ifndef BOOST_RANDOM_BETA_DISTRIBUTION_HPP
Chris@102 14 #define BOOST_RANDOM_BETA_DISTRIBUTION_HPP
Chris@102 15
Chris@102 16 #include <cassert>
Chris@102 17 #include <istream>
Chris@102 18 #include <iosfwd>
Chris@102 19 #include <boost/random/detail/operators.hpp>
Chris@102 20 #include <boost/random/gamma_distribution.hpp>
Chris@102 21
Chris@102 22 namespace boost {
Chris@102 23 namespace random {
Chris@102 24
Chris@102 25 /**
Chris@102 26 * The beta distribution is a real-valued distribution which produces
Chris@102 27 * values in the range [0, 1]. It has two parameters, alpha and beta.
Chris@102 28 *
Chris@102 29 * It has \f$\displaystyle p(x) = \frac{x^{\alpha-1}(1-x)^{\beta-1}}{B(\alpha, \beta)}\f$.
Chris@102 30 */
Chris@102 31 template<class RealType = double>
Chris@102 32 class beta_distribution {
Chris@102 33 public:
Chris@102 34 typedef RealType result_type;
Chris@102 35 typedef RealType input_type;
Chris@102 36
Chris@102 37 class param_type {
Chris@102 38 public:
Chris@102 39 typedef beta_distribution distribution_type;
Chris@102 40
Chris@102 41 /**
Chris@102 42 * Constructs a @c param_type from the "alpha" and "beta" parameters
Chris@102 43 * of the distribution.
Chris@102 44 *
Chris@102 45 * Requires: alpha > 0, beta > 0
Chris@102 46 */
Chris@102 47 explicit param_type(RealType alpha_arg = RealType(1.0),
Chris@102 48 RealType beta_arg = RealType(1.0))
Chris@102 49 : _alpha(alpha_arg), _beta(beta_arg)
Chris@102 50 {
Chris@102 51 assert(alpha_arg > 0);
Chris@102 52 assert(beta_arg > 0);
Chris@102 53 }
Chris@102 54
Chris@102 55 /** Returns the "alpha" parameter of the distribtuion. */
Chris@102 56 RealType alpha() const { return _alpha; }
Chris@102 57 /** Returns the "beta" parameter of the distribution. */
Chris@102 58 RealType beta() const { return _beta; }
Chris@102 59
Chris@102 60 /** Writes a @c param_type to a @c std::ostream. */
Chris@102 61 BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm)
Chris@102 62 { os << parm._alpha << ' ' << parm._beta; return os; }
Chris@102 63
Chris@102 64 /** Reads a @c param_type from a @c std::istream. */
Chris@102 65 BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm)
Chris@102 66 { is >> parm._alpha >> std::ws >> parm._beta; return is; }
Chris@102 67
Chris@102 68 /** Returns true if the two sets of parameters are the same. */
Chris@102 69 BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs)
Chris@102 70 { return lhs._alpha == rhs._alpha && lhs._beta == rhs._beta; }
Chris@102 71
Chris@102 72 /** Returns true if the two sets of parameters are the different. */
Chris@102 73 BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type)
Chris@102 74
Chris@102 75 private:
Chris@102 76 RealType _alpha;
Chris@102 77 RealType _beta;
Chris@102 78 };
Chris@102 79
Chris@102 80 /**
Chris@102 81 * Constructs an @c beta_distribution from its "alpha" and "beta" parameters.
Chris@102 82 *
Chris@102 83 * Requires: alpha > 0, beta > 0
Chris@102 84 */
Chris@102 85 explicit beta_distribution(RealType alpha_arg = RealType(1.0),
Chris@102 86 RealType beta_arg = RealType(1.0))
Chris@102 87 : _alpha(alpha_arg), _beta(beta_arg)
Chris@102 88 {
Chris@102 89 assert(alpha_arg > 0);
Chris@102 90 assert(beta_arg > 0);
Chris@102 91 }
Chris@102 92 /** Constructs an @c beta_distribution from its parameters. */
Chris@102 93 explicit beta_distribution(const param_type& parm)
Chris@102 94 : _alpha(parm.alpha()), _beta(parm.beta())
Chris@102 95 {}
Chris@102 96
Chris@102 97 /**
Chris@102 98 * Returns a random variate distributed according to the
Chris@102 99 * beta distribution.
Chris@102 100 */
Chris@102 101 template<class URNG>
Chris@102 102 RealType operator()(URNG& urng) const
Chris@102 103 {
Chris@102 104 RealType a = gamma_distribution<RealType>(_alpha, RealType(1.0))(urng);
Chris@102 105 RealType b = gamma_distribution<RealType>(_beta, RealType(1.0))(urng);
Chris@102 106 return a / (a + b);
Chris@102 107 }
Chris@102 108
Chris@102 109 /**
Chris@102 110 * Returns a random variate distributed accordint to the beta
Chris@102 111 * distribution with parameters specified by @c param.
Chris@102 112 */
Chris@102 113 template<class URNG>
Chris@102 114 RealType operator()(URNG& urng, const param_type& parm) const
Chris@102 115 {
Chris@102 116 return beta_distribution(parm)(urng);
Chris@102 117 }
Chris@102 118
Chris@102 119 /** Returns the "alpha" parameter of the distribution. */
Chris@102 120 RealType alpha() const { return _alpha; }
Chris@102 121 /** Returns the "beta" parameter of the distribution. */
Chris@102 122 RealType beta() const { return _beta; }
Chris@102 123
Chris@102 124 /** Returns the smallest value that the distribution can produce. */
Chris@102 125 RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const
Chris@102 126 { return RealType(0.0); }
Chris@102 127 /** Returns the largest value that the distribution can produce. */
Chris@102 128 RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const
Chris@102 129 { return RealType(1.0); }
Chris@102 130
Chris@102 131 /** Returns the parameters of the distribution. */
Chris@102 132 param_type param() const { return param_type(_alpha, _beta); }
Chris@102 133 /** Sets the parameters of the distribution. */
Chris@102 134 void param(const param_type& parm)
Chris@102 135 {
Chris@102 136 _alpha = parm.alpha();
Chris@102 137 _beta = parm.beta();
Chris@102 138 }
Chris@102 139
Chris@102 140 /**
Chris@102 141 * Effects: Subsequent uses of the distribution do not depend
Chris@102 142 * on values produced by any engine prior to invoking reset.
Chris@102 143 */
Chris@102 144 void reset() { }
Chris@102 145
Chris@102 146 /** Writes an @c beta_distribution to a @c std::ostream. */
Chris@102 147 BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, beta_distribution, wd)
Chris@102 148 {
Chris@102 149 os << wd.param();
Chris@102 150 return os;
Chris@102 151 }
Chris@102 152
Chris@102 153 /** Reads an @c beta_distribution from a @c std::istream. */
Chris@102 154 BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, beta_distribution, wd)
Chris@102 155 {
Chris@102 156 param_type parm;
Chris@102 157 if(is >> parm) {
Chris@102 158 wd.param(parm);
Chris@102 159 }
Chris@102 160 return is;
Chris@102 161 }
Chris@102 162
Chris@102 163 /**
Chris@102 164 * Returns true if the two instances of @c beta_distribution will
Chris@102 165 * return identical sequences of values given equal generators.
Chris@102 166 */
Chris@102 167 BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(beta_distribution, lhs, rhs)
Chris@102 168 { return lhs._alpha == rhs._alpha && lhs._beta == rhs._beta; }
Chris@102 169
Chris@102 170 /**
Chris@102 171 * Returns true if the two instances of @c beta_distribution will
Chris@102 172 * return different sequences of values given equal generators.
Chris@102 173 */
Chris@102 174 BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(beta_distribution)
Chris@102 175
Chris@102 176 private:
Chris@102 177 RealType _alpha;
Chris@102 178 RealType _beta;
Chris@102 179 };
Chris@102 180
Chris@102 181 } // namespace random
Chris@102 182 } // namespace boost
Chris@102 183
Chris@102 184 #endif // BOOST_RANDOM_BETA_DISTRIBUTION_HPP