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Diffstat (limited to 'src/third_party/boost-1.56.0/boost/random/laplace_distribution.hpp')
| -rw-r--r-- | src/third_party/boost-1.56.0/boost/random/laplace_distribution.hpp | 175 |
1 files changed, 0 insertions, 175 deletions
diff --git a/src/third_party/boost-1.56.0/boost/random/laplace_distribution.hpp b/src/third_party/boost-1.56.0/boost/random/laplace_distribution.hpp deleted file mode 100644 index ec176a59c1f..00000000000 --- a/src/third_party/boost-1.56.0/boost/random/laplace_distribution.hpp +++ /dev/null @@ -1,175 +0,0 @@ -/* boost random/laplace_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_LAPLACE_DISTRIBUTION_HPP -#define BOOST_RANDOM_LAPLACE_DISTRIBUTION_HPP - -#include <cassert> -#include <istream> -#include <iosfwd> -#include <boost/random/detail/operators.hpp> -#include <boost/random/exponential_distribution.hpp> - -namespace boost { -namespace random { - -/** - * The laplace distribution is a real-valued distribution with - * two parameters, mean and beta. - * - * It has \f$\displaystyle p(x) = \frac{e^-{\frac{|x-\mu|}{\beta}}}{2\beta}\f$. - */ -template<class RealType = double> -class laplace_distribution { -public: - typedef RealType result_type; - typedef RealType input_type; - - class param_type { - public: - typedef laplace_distribution distribution_type; - - /** - * Constructs a @c param_type from the "mean" and "beta" parameters - * of the distribution. - */ - explicit param_type(RealType mean_arg = RealType(0.0), - RealType beta_arg = RealType(1.0)) - : _mean(mean_arg), _beta(beta_arg) - {} - - /** Returns the "mean" parameter of the distribtuion. */ - RealType mean() const { return _mean; } - /** 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._mean << ' ' << 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._mean >> 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._mean == rhs._mean && lhs._beta == rhs._beta; } - - /** Returns true if the two sets of parameters are the different. */ - BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type) - - private: - RealType _mean; - RealType _beta; - }; - - /** - * Constructs an @c laplace_distribution from its "mean" and "beta" parameters. - */ - explicit laplace_distribution(RealType mean_arg = RealType(0.0), - RealType beta_arg = RealType(1.0)) - : _mean(mean_arg), _beta(beta_arg) - {} - /** Constructs an @c laplace_distribution from its parameters. */ - explicit laplace_distribution(const param_type& parm) - : _mean(parm.mean()), _beta(parm.beta()) - {} - - /** - * Returns a random variate distributed according to the - * laplace distribution. - */ - template<class URNG> - RealType operator()(URNG& urng) const - { - RealType exponential = exponential_distribution<RealType>()(urng); - if(uniform_01<RealType>()(urng) < 0.5) - exponential = -exponential; - return _mean + _beta * exponential; - } - - /** - * Returns a random variate distributed accordint to the laplace - * distribution with parameters specified by @c param. - */ - template<class URNG> - RealType operator()(URNG& urng, const param_type& parm) const - { - return laplace_distribution(parm)(urng); - } - - /** Returns the "mean" parameter of the distribution. */ - RealType mean() const { return _mean; } - /** 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(-std::numeric_limits<RealType>::infinity()); } - /** Returns the largest value that the distribution can produce. */ - RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const - { return RealType(std::numeric_limits<RealType>::infinity()); } - - /** Returns the parameters of the distribution. */ - param_type param() const { return param_type(_mean, _beta); } - /** Sets the parameters of the distribution. */ - void param(const param_type& parm) - { - _mean = parm.mean(); - _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 laplace_distribution to a @c std::ostream. */ - BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, laplace_distribution, wd) - { - os << wd.param(); - return os; - } - - /** Reads an @c laplace_distribution from a @c std::istream. */ - BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, laplace_distribution, wd) - { - param_type parm; - if(is >> parm) { - wd.param(parm); - } - return is; - } - - /** - * Returns true if the two instances of @c laplace_distribution will - * return identical sequences of values given equal generators. - */ - BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(laplace_distribution, lhs, rhs) - { return lhs._mean == rhs._mean && lhs._beta == rhs._beta; } - - /** - * Returns true if the two instances of @c laplace_distribution will - * return different sequences of values given equal generators. - */ - BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(laplace_distribution) - -private: - RealType _mean; - RealType _beta; -}; - -} // namespace random -} // namespace boost - -#endif // BOOST_RANDOM_LAPLACE_DISTRIBUTION_HPP |