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Diffstat (limited to 'src/third_party/boost-1.56.0/boost/random/chi_squared_distribution.hpp')
| -rw-r--r-- | src/third_party/boost-1.56.0/boost/random/chi_squared_distribution.hpp | 209 |
1 files changed, 0 insertions, 209 deletions
diff --git a/src/third_party/boost-1.56.0/boost/random/chi_squared_distribution.hpp b/src/third_party/boost-1.56.0/boost/random/chi_squared_distribution.hpp deleted file mode 100644 index ce63584f2db..00000000000 --- a/src/third_party/boost-1.56.0/boost/random/chi_squared_distribution.hpp +++ /dev/null @@ -1,209 +0,0 @@ -/* boost random/chi_squared_distribution.hpp header file - * - * Copyright Steven Watanabe 2011 - * 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_CHI_SQUARED_DISTRIBUTION_HPP_INCLUDED -#define BOOST_RANDOM_CHI_SQUARED_DISTRIBUTION_HPP_INCLUDED - -#include <iosfwd> -#include <boost/limits.hpp> - -#include <boost/random/detail/config.hpp> -#include <boost/random/gamma_distribution.hpp> - -namespace boost { -namespace random { - -/** - * The chi squared distribution is a real valued distribution with - * one parameter, @c n. The distribution produces values > 0. - * - * The distribution function is - * \f$\displaystyle P(x) = \frac{x^{(n/2)-1}e^{-x/2}}{\Gamma(n/2)2^{n/2}}\f$. - */ -template<class RealType = double> -class chi_squared_distribution { -public: - typedef RealType result_type; - typedef RealType input_type; - - class param_type { - public: - typedef chi_squared_distribution distribution_type; - /** - * Construct a param_type object. @c n - * is the parameter of the distribution. - * - * Requires: t >=0 && 0 <= p <= 1 - */ - explicit param_type(RealType n_arg = RealType(1)) - : _n(n_arg) - {} - /** Returns the @c n parameter of the distribution. */ - RealType n() const { return _n; } -#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS - /** Writes the parameters of the distribution to a @c std::ostream. */ - template<class CharT, class Traits> - friend std::basic_ostream<CharT,Traits>& - operator<<(std::basic_ostream<CharT,Traits>& os, - const param_type& parm) - { - os << parm._n; - return os; - } - - /** Reads the parameters of the distribution from a @c std::istream. */ - template<class CharT, class Traits> - friend std::basic_istream<CharT,Traits>& - operator>>(std::basic_istream<CharT,Traits>& is, param_type& parm) - { - is >> parm._n; - return is; - } -#endif - /** Returns true if the parameters have the same values. */ - friend bool operator==(const param_type& lhs, const param_type& rhs) - { - return lhs._n == rhs._n; - } - /** Returns true if the parameters have different values. */ - friend bool operator!=(const param_type& lhs, const param_type& rhs) - { - return !(lhs == rhs); - } - private: - RealType _n; - }; - - /** - * Construct a @c chi_squared_distribution object. @c n - * is the parameter of the distribution. - * - * Requires: t >=0 && 0 <= p <= 1 - */ - explicit chi_squared_distribution(RealType n_arg = RealType(1)) - : _impl(n_arg / 2) - { - } - - /** - * Construct an @c chi_squared_distribution object from the - * parameters. - */ - explicit chi_squared_distribution(const param_type& parm) - : _impl(parm.n() / 2) - { - } - - /** - * Returns a random variate distributed according to the - * chi squared distribution. - */ - template<class URNG> - RealType operator()(URNG& urng) - { - return 2 * _impl(urng); - } - - /** - * Returns a random variate distributed according to the - * chi squared distribution with parameters specified by @c param. - */ - template<class URNG> - RealType operator()(URNG& urng, const param_type& parm) const - { - return chi_squared_distribution(parm)(urng); - } - - /** Returns the @c n parameter of the distribution. */ - RealType n() const { return 2 * _impl.alpha(); } - - /** Returns the smallest value that the distribution can produce. */ - RealType min BOOST_PREVENT_MACRO_SUBSTITUTION() const { return 0; } - /** Returns the largest value that the distribution can produce. */ - RealType max BOOST_PREVENT_MACRO_SUBSTITUTION() const - { return (std::numeric_limits<RealType>::infinity)(); } - - /** Returns the parameters of the distribution. */ - param_type param() const { return param_type(n()); } - /** Sets parameters of the distribution. */ - void param(const param_type& parm) - { - typedef gamma_distribution<RealType> impl_type; - typename impl_type::param_type impl_parm(parm.n() / 2); - _impl.param(impl_parm); - } - - /** - * Effects: Subsequent uses of the distribution do not depend - * on values produced by any engine prior to invoking reset. - */ - void reset() { _impl.reset(); } - -#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS - /** Writes the parameters of the distribution to a @c std::ostream. */ - template<class CharT, class Traits> - friend std::basic_ostream<CharT,Traits>& - operator<<(std::basic_ostream<CharT,Traits>& os, - const chi_squared_distribution& c2d) - { - os << c2d.param(); - return os; - } - - /** Reads the parameters of the distribution from a @c std::istream. */ - template<class CharT, class Traits> - friend std::basic_istream<CharT,Traits>& - operator>>(std::basic_istream<CharT,Traits>& is, - chi_squared_distribution& c2d) - { - c2d.read(is); - return is; - } -#endif - - /** Returns true if the two distributions will produce the same - sequence of values, given equal generators. */ - friend bool operator==(const chi_squared_distribution& lhs, - const chi_squared_distribution& rhs) - { - return lhs._impl == rhs._impl; - } - /** Returns true if the two distributions could produce different - sequences of values, given equal generators. */ - friend bool operator!=(const chi_squared_distribution& lhs, - const chi_squared_distribution& rhs) - { - return !(lhs == rhs); - } - -private: - - /// @cond show_private - - template<class CharT, class Traits> - void read(std::basic_istream<CharT, Traits>& is) { - param_type parm; - if(is >> parm) { - param(parm); - } - } - - gamma_distribution<RealType> _impl; - - /// @endcond -}; - -} - -} - -#endif |