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arcsine.hpp
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bernoulli.hpp
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beta.hpp
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binomial.hpp
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cauchy.hpp
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chi_squared.hpp
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complement.hpp
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empirical_cumulative_distribution_function.hpp
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exponential.hpp
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extreme_value.hpp
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find_location.hpp
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find_scale.hpp
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fisher_f.hpp
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fwd.hpp
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gamma.hpp
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geometric.hpp
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hyperexponential.hpp
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hypergeometric.hpp
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inverse_chi_squared.hpp
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inverse_gamma.hpp
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inverse_gaussian.hpp
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laplace.hpp
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logistic.hpp
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lognormal.hpp
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negative_binomial.hpp
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non_central_beta.hpp
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non_central_chi_squared.hpp
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non_central_f.hpp
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non_central_t.hpp
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normal.hpp
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pareto.hpp
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poisson.hpp
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rayleigh.hpp
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skew_normal.hpp
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students_t.hpp
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triangular.hpp
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uniform.hpp
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weibull.hpp
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/usr/include/boost/math/distributions/rayleigh.hpp
(10344B)
// Copyright Paul A. Bristow 2007. // Use, modification and distribution are subject to 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) #ifndef BOOST_STATS_rayleigh_HPP #define BOOST_STATS_rayleigh_HPP #include <boost/math/distributions/fwd.hpp> #include <boost/math/constants/constants.hpp> #include <boost/math/special_functions/log1p.hpp> #include <boost/math/special_functions/expm1.hpp> #include <boost/math/distributions/complement.hpp> #include <boost/math/distributions/detail/common_error_handling.hpp> #include <boost/config/no_tr1/cmath.hpp> #ifdef BOOST_MSVC # pragma warning(push) # pragma warning(disable: 4702) // unreachable code (return after domain_error throw). #endif #include <utility> namespace boost{ namespace math{ namespace detail { // Error checks: template <class RealType, class Policy> inline bool verify_sigma(const char* function, RealType sigma, RealType* presult, const Policy& pol) { if((sigma <= 0) || (!(boost::math::isfinite)(sigma))) { *presult = policies::raise_domain_error<RealType>( function, "The scale parameter \"sigma\" must be > 0 and finite, but was: %1%.", sigma, pol); return false; } return true; } // bool verify_sigma template <class RealType, class Policy> inline bool verify_rayleigh_x(const char* function, RealType x, RealType* presult, const Policy& pol) { if((x < 0) || (boost::math::isnan)(x)) { *presult = policies::raise_domain_error<RealType>( function, "The random variable must be >= 0, but was: %1%.", x, pol); return false; } return true; } // bool verify_rayleigh_x } // namespace detail template <class RealType = double, class Policy = policies::policy<> > class rayleigh_distribution { public: typedef RealType value_type; typedef Policy policy_type; rayleigh_distribution(RealType l_sigma = 1) : m_sigma(l_sigma) { RealType err; detail::verify_sigma("boost::math::rayleigh_distribution<%1%>::rayleigh_distribution", l_sigma, &err, Policy()); } // rayleigh_distribution RealType sigma()const { // Accessor. return m_sigma; } private: RealType m_sigma; }; // class rayleigh_distribution typedef rayleigh_distribution<double> rayleigh; template <class RealType, class Policy> inline const std::pair<RealType, RealType> range(const rayleigh_distribution<RealType, Policy>& /*dist*/) { // Range of permissible values for random variable x. using boost::math::tools::max_value; return std::pair<RealType, RealType>(static_cast<RealType>(0), std::numeric_limits<RealType>::has_infinity ? std::numeric_limits<RealType>::infinity() : max_value<RealType>()); } template <class RealType, class Policy> inline const std::pair<RealType, RealType> support(const rayleigh_distribution<RealType, Policy>& /*dist*/) { // Range of supported values for random variable x. // This is range where cdf rises from 0 to 1, and outside it, the pdf is zero. using boost::math::tools::max_value; return std::pair<RealType, RealType>(static_cast<RealType>(0), max_value<RealType>()); } template <class RealType, class Policy> inline RealType pdf(const rayleigh_distribution<RealType, Policy>& dist, const RealType& x) { BOOST_MATH_STD_USING // for ADL of std function exp. RealType sigma = dist.sigma(); RealType result = 0; static const char* function = "boost::math::pdf(const rayleigh_distribution<%1%>&, %1%)"; if(false == detail::verify_sigma(function, sigma, &result, Policy())) { return result; } if(false == detail::verify_rayleigh_x(function, x, &result, Policy())) { return result; } if((boost::math::isinf)(x)) { return 0; } RealType sigmasqr = sigma * sigma; result = x * (exp(-(x * x) / ( 2 * sigmasqr))) / sigmasqr; return result; } // pdf template <class RealType, class Policy> inline RealType cdf(const rayleigh_distribution<RealType, Policy>& dist, const RealType& x) { BOOST_MATH_STD_USING // for ADL of std functions RealType result = 0; RealType sigma = dist.sigma(); static const char* function = "boost::math::cdf(const rayleigh_distribution<%1%>&, %1%)"; if(false == detail::verify_sigma(function, sigma, &result, Policy())) { return result; } if(false == detail::verify_rayleigh_x(function, x, &result, Policy())) { return result; } result = -boost::math::expm1(-x * x / ( 2 * sigma * sigma), Policy()); return result; } // cdf template <class RealType, class Policy> inline RealType quantile(const rayleigh_distribution<RealType, Policy>& dist, const RealType& p) { BOOST_MATH_STD_USING // for ADL of std functions RealType result = 0; RealType sigma = dist.sigma(); static const char* function = "boost::math::quantile(const rayleigh_distribution<%1%>&, %1%)"; if(false == detail::verify_sigma(function, sigma, &result, Policy())) return result; if(false == detail::check_probability(function, p, &result, Policy())) return result; if(p == 0) { return 0; } if(p == 1) { return policies::raise_overflow_error<RealType>(function, 0, Policy()); } result = sqrt(-2 * sigma * sigma * boost::math::log1p(-p, Policy())); return result; } // quantile template <class RealType, class Policy> inline RealType cdf(const complemented2_type<rayleigh_distribution<RealType, Policy>, RealType>& c) { BOOST_MATH_STD_USING // for ADL of std functions RealType result = 0; RealType sigma = c.dist.sigma(); static const char* function = "boost::math::cdf(const rayleigh_distribution<%1%>&, %1%)"; if(false == detail::verify_sigma(function, sigma, &result, Policy())) { return result; } RealType x = c.param; if(false == detail::verify_rayleigh_x(function, x, &result, Policy())) { return result; } RealType ea = x * x / (2 * sigma * sigma); // Fix for VC11/12 x64 bug in exp(float): if (ea >= tools::max_value<RealType>()) return 0; result = exp(-ea); return result; } // cdf complement template <class RealType, class Policy> inline RealType quantile(const complemented2_type<rayleigh_distribution<RealType, Policy>, RealType>& c) { BOOST_MATH_STD_USING // for ADL of std functions, log & sqrt. RealType result = 0; RealType sigma = c.dist.sigma(); static const char* function = "boost::math::quantile(const rayleigh_distribution<%1%>&, %1%)"; if(false == detail::verify_sigma(function, sigma, &result, Policy())) { return result; } RealType q = c.param; if(false == detail::check_probability(function, q, &result, Policy())) { return result; } if(q == 1) { return 0; } if(q == 0) { return policies::raise_overflow_error<RealType>(function, 0, Policy()); } result = sqrt(-2 * sigma * sigma * log(q)); return result; } // quantile complement template <class RealType, class Policy> inline RealType mean(const rayleigh_distribution<RealType, Policy>& dist) { RealType result = 0; RealType sigma = dist.sigma(); static const char* function = "boost::math::mean(const rayleigh_distribution<%1%>&, %1%)"; if(false == detail::verify_sigma(function, sigma, &result, Policy())) { return result; } using boost::math::constants::root_half_pi; return sigma * root_half_pi<RealType>(); } // mean template <class RealType, class Policy> inline RealType variance(const rayleigh_distribution<RealType, Policy>& dist) { RealType result = 0; RealType sigma = dist.sigma(); static const char* function = "boost::math::variance(const rayleigh_distribution<%1%>&, %1%)"; if(false == detail::verify_sigma(function, sigma, &result, Policy())) { return result; } using boost::math::constants::four_minus_pi; return four_minus_pi<RealType>() * sigma * sigma / 2; } // variance template <class RealType, class Policy> inline RealType mode(const rayleigh_distribution<RealType, Policy>& dist) { return dist.sigma(); } template <class RealType, class Policy> inline RealType median(const rayleigh_distribution<RealType, Policy>& dist) { using boost::math::constants::root_ln_four; return root_ln_four<RealType>() * dist.sigma(); } template <class RealType, class Policy> inline RealType skewness(const rayleigh_distribution<RealType, Policy>& /*dist*/) { // using namespace boost::math::constants; return static_cast<RealType>(0.63111065781893713819189935154422777984404221106391L); // Computed using NTL at 150 bit, about 50 decimal digits. // return 2 * root_pi<RealType>() * pi_minus_three<RealType>() / pow23_four_minus_pi<RealType>(); } template <class RealType, class Policy> inline RealType kurtosis(const rayleigh_distribution<RealType, Policy>& /*dist*/) { // using namespace boost::math::constants; return static_cast<RealType>(3.2450893006876380628486604106197544154170667057995L); // Computed using NTL at 150 bit, about 50 decimal digits. // return 3 - (6 * pi<RealType>() * pi<RealType>() - 24 * pi<RealType>() + 16) / // (four_minus_pi<RealType>() * four_minus_pi<RealType>()); } template <class RealType, class Policy> inline RealType kurtosis_excess(const rayleigh_distribution<RealType, Policy>& /*dist*/) { //using namespace boost::math::constants; // Computed using NTL at 150 bit, about 50 decimal digits. return static_cast<RealType>(0.2450893006876380628486604106197544154170667057995L); // return -(6 * pi<RealType>() * pi<RealType>() - 24 * pi<RealType>() + 16) / // (four_minus_pi<RealType>() * four_minus_pi<RealType>()); } // kurtosis template <class RealType, class Policy> inline RealType entropy(const rayleigh_distribution<RealType, Policy>& dist) { using std::log; return 1 + log(dist.sigma()*constants::one_div_root_two<RealType>()) + constants::euler<RealType>()/2; } } // namespace math } // namespace boost #ifdef BOOST_MSVC # pragma warning(pop) #endif // This include must be at the end, *after* the accessors // for this distribution have been defined, in order to // keep compilers that support two-phase lookup happy. #include <boost/math/distributions/detail/derived_accessors.hpp> #endif // BOOST_STATS_rayleigh_HPP
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