| 1 | /* boost random/cauchy_distribution.hpp header file |
| 2 | * |
| 3 | * Copyright Jens Maurer 2000-2001 |
| 4 | * Distributed under the Boost Software License, Version 1.0. (See |
| 5 | * accompanying file LICENSE_1_0.txt or copy at |
| 6 | * http://www.boost.org/LICENSE_1_0.txt) |
| 7 | * |
| 8 | * See http://www.boost.org for most recent version including documentation. |
| 9 | * |
| 10 | * $Id$ |
| 11 | * |
| 12 | * Revision history |
| 13 | * 2001-02-18 moved to individual header files |
| 14 | */ |
| 15 | |
| 16 | #ifndef BOOST_RANDOM_CAUCHY_DISTRIBUTION_HPP |
| 17 | #define BOOST_RANDOM_CAUCHY_DISTRIBUTION_HPP |
| 18 | |
| 19 | #include <boost/config/no_tr1/cmath.hpp> |
| 20 | #include <iosfwd> |
| 21 | #include <istream> |
| 22 | #include <boost/limits.hpp> |
| 23 | #include <boost/random/detail/config.hpp> |
| 24 | #include <boost/random/detail/operators.hpp> |
| 25 | #include <boost/random/uniform_01.hpp> |
| 26 | |
| 27 | namespace boost { |
| 28 | namespace random { |
| 29 | |
| 30 | // Cauchy distribution: |
| 31 | |
| 32 | /** |
| 33 | * The cauchy distribution is a continuous distribution with two |
| 34 | * parameters, median and sigma. |
| 35 | * |
| 36 | * It has \f$\displaystyle p(x) = \frac{\sigma}{\pi(\sigma^2 + (x-m)^2)}\f$ |
| 37 | */ |
| 38 | template<class RealType = double> |
| 39 | class cauchy_distribution |
| 40 | { |
| 41 | public: |
| 42 | typedef RealType input_type; |
| 43 | typedef RealType result_type; |
| 44 | |
| 45 | class param_type |
| 46 | { |
| 47 | public: |
| 48 | |
| 49 | typedef cauchy_distribution distribution_type; |
| 50 | |
| 51 | /** Constructs the parameters of the cauchy distribution. */ |
| 52 | explicit param_type(RealType median_arg = RealType(0.0), |
| 53 | RealType sigma_arg = RealType(1.0)) |
| 54 | : _median(median_arg), _sigma(sigma_arg) {} |
| 55 | |
| 56 | // backwards compatibility for Boost.Random |
| 57 | |
| 58 | /** Returns the median of the distribution. */ |
| 59 | RealType median() const { return _median; } |
| 60 | /** Returns the sigma parameter of the distribution. */ |
| 61 | RealType sigma() const { return _sigma; } |
| 62 | |
| 63 | // The new names in C++0x. |
| 64 | |
| 65 | /** Returns the median of the distribution. */ |
| 66 | RealType a() const { return _median; } |
| 67 | /** Returns the sigma parameter of the distribution. */ |
| 68 | RealType b() const { return _sigma; } |
| 69 | |
| 70 | /** Writes the parameters to a std::ostream. */ |
| 71 | BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm) |
| 72 | { |
| 73 | os << parm._median << " " << parm._sigma; |
| 74 | return os; |
| 75 | } |
| 76 | |
| 77 | /** Reads the parameters from a std::istream. */ |
| 78 | BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm) |
| 79 | { |
| 80 | is >> parm._median >> std::ws >> parm._sigma; |
| 81 | return is; |
| 82 | } |
| 83 | |
| 84 | /** Returns true if the two sets of parameters are equal. */ |
| 85 | BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs) |
| 86 | { return lhs._median == rhs._median && lhs._sigma == rhs._sigma; } |
| 87 | |
| 88 | /** Returns true if the two sets of parameters are different. */ |
| 89 | BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type) |
| 90 | |
| 91 | private: |
| 92 | RealType _median; |
| 93 | RealType _sigma; |
| 94 | }; |
| 95 | |
| 96 | /** |
| 97 | * Constructs a \cauchy_distribution with the paramters @c median |
| 98 | * and @c sigma. |
| 99 | */ |
| 100 | explicit cauchy_distribution(RealType median_arg = RealType(0.0), |
| 101 | RealType sigma_arg = RealType(1.0)) |
| 102 | : _median(median_arg), _sigma(sigma_arg) { } |
| 103 | |
| 104 | /** |
| 105 | * Constructs a \cauchy_distribution from it's parameters. |
| 106 | */ |
| 107 | explicit cauchy_distribution(const param_type& parm) |
| 108 | : _median(parm.median()), _sigma(parm.sigma()) { } |
| 109 | |
| 110 | // compiler-generated copy ctor and assignment operator are fine |
| 111 | |
| 112 | // backwards compatibility for Boost.Random |
| 113 | |
| 114 | /** Returns: the "median" parameter of the distribution */ |
| 115 | RealType median() const { return _median; } |
| 116 | /** Returns: the "sigma" parameter of the distribution */ |
| 117 | RealType sigma() const { return _sigma; } |
| 118 | |
| 119 | // The new names in C++0x |
| 120 | |
| 121 | /** Returns: the "median" parameter of the distribution */ |
| 122 | RealType a() const { return _median; } |
| 123 | /** Returns: the "sigma" parameter of the distribution */ |
| 124 | RealType b() const { return _sigma; } |
| 125 | |
| 126 | /** Returns the smallest value that the distribution can produce. */ |
| 127 | RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const |
| 128 | { return -(std::numeric_limits<RealType>::infinity)(); } |
| 129 | |
| 130 | /** Returns the largest value that the distribution can produce. */ |
| 131 | RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const |
| 132 | { return (std::numeric_limits<RealType>::infinity)(); } |
| 133 | |
| 134 | param_type param() const { return param_type(_median, _sigma); } |
| 135 | |
| 136 | void param(const param_type& parm) |
| 137 | { |
| 138 | _median = parm.median(); |
| 139 | _sigma = parm.sigma(); |
| 140 | } |
| 141 | |
| 142 | /** |
| 143 | * Effects: Subsequent uses of the distribution do not depend |
| 144 | * on values produced by any engine prior to invoking reset. |
| 145 | */ |
| 146 | void reset() { } |
| 147 | |
| 148 | /** |
| 149 | * Returns: A random variate distributed according to the |
| 150 | * cauchy distribution. |
| 151 | */ |
| 152 | template<class Engine> |
| 153 | result_type operator()(Engine& eng) |
| 154 | { |
| 155 | // Can we have a boost::mathconst please? |
| 156 | const result_type pi = result_type(3.14159265358979323846); |
| 157 | using std::tan; |
| 158 | RealType val = uniform_01<RealType>()(eng)-result_type(0.5); |
| 159 | return _median + _sigma * tan(pi*val); |
| 160 | } |
| 161 | |
| 162 | /** |
| 163 | * Returns: A random variate distributed according to the |
| 164 | * cauchy distribution with parameters specified by param. |
| 165 | */ |
| 166 | template<class Engine> |
| 167 | result_type operator()(Engine& eng, const param_type& parm) |
| 168 | { |
| 169 | return cauchy_distribution(parm)(eng); |
| 170 | } |
| 171 | |
| 172 | /** |
| 173 | * Writes the distribution to a @c std::ostream. |
| 174 | */ |
| 175 | BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, cauchy_distribution, cd) |
| 176 | { |
| 177 | os << cd._median << " " << cd._sigma; |
| 178 | return os; |
| 179 | } |
| 180 | |
| 181 | /** |
| 182 | * Reads the distribution from a @c std::istream. |
| 183 | */ |
| 184 | BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, cauchy_distribution, cd) |
| 185 | { |
| 186 | is >> cd._median >> std::ws >> cd._sigma; |
| 187 | return is; |
| 188 | } |
| 189 | |
| 190 | /** |
| 191 | * Returns true if the two distributions will produce |
| 192 | * identical sequences of values, given equal generators. |
| 193 | */ |
| 194 | BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(cauchy_distribution, lhs, rhs) |
| 195 | { return lhs._median == rhs._median && lhs._sigma == rhs._sigma; } |
| 196 | |
| 197 | /** |
| 198 | * Returns true if the two distributions may produce |
| 199 | * different sequences of values, given equal generators. |
| 200 | */ |
| 201 | BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(cauchy_distribution) |
| 202 | |
| 203 | private: |
| 204 | RealType _median; |
| 205 | RealType _sigma; |
| 206 | }; |
| 207 | |
| 208 | } // namespace random |
| 209 | |
| 210 | using random::cauchy_distribution; |
| 211 | |
| 212 | } // namespace boost |
| 213 | |
| 214 | #endif // BOOST_RANDOM_CAUCHY_DISTRIBUTION_HPP |
| 215 | |