distributions.hpp
来自「Boost provides free peer-reviewed portab」· HPP 代码 · 共 205 行
HPP
205 行
// Copyright John Maddock 2006.// 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)// distributions.hpp provides definitions of the concept of a distribution// and non-member accessor functions that must be implemented by all distributions.// This is used to verify that// all the features of a distributions have been fully implemented.#ifndef BOOST_MATH_DISTRIBUTION_CONCEPT_HPP#define BOOST_MATH_DISTRIBUTION_CONCEPT_HPP#include <boost/math/distributions/complement.hpp>#ifdef BOOST_MSVC#pragma warning(push)#pragma warning(disable: 4100)#pragma warning(disable: 4510)#pragma warning(disable: 4610)#endif#include <boost/concept_check.hpp>#ifdef BOOST_MSVC#pragma warning(pop)#endif#include <utility>namespace boost{namespace math{namespace concepts{// Begin by defining a concept archetype// for a distribution class://template <class RealType>class distribution_archetype{public: typedef RealType value_type; distribution_archetype(const distribution_archetype&); // Copy constructible. distribution_archetype& operator=(const distribution_archetype&); // Assignable. // There is no default constructor, // but we need a way to instantiate the archetype: static distribution_archetype& get_object() { // will never get caled: return *reinterpret_cast<distribution_archetype*>(0); }}; // template <class RealType>class distribution_archetype// Non-member accessor functions:// (This list defines the functions that must be implemented by all distributions).template <class RealType>RealType pdf(const distribution_archetype<RealType>& dist, const RealType& x);template <class RealType>RealType cdf(const distribution_archetype<RealType>& dist, const RealType& x);template <class RealType>RealType quantile(const distribution_archetype<RealType>& dist, const RealType& p);template <class RealType>RealType cdf(const complemented2_type<distribution_archetype<RealType>, RealType>& c);template <class RealType>RealType quantile(const complemented2_type<distribution_archetype<RealType>, RealType>& c);template <class RealType>RealType mean(const distribution_archetype<RealType>& dist);template <class RealType>RealType standard_deviation(const distribution_archetype<RealType>& dist);template <class RealType>RealType variance(const distribution_archetype<RealType>& dist);template <class RealType>RealType hazard(const distribution_archetype<RealType>& dist);template <class RealType>RealType chf(const distribution_archetype<RealType>& dist);// http://en.wikipedia.org/wiki/Characteristic_function_%28probability_theory%29template <class RealType>RealType coefficient_of_variation(const distribution_archetype<RealType>& dist);template <class RealType>RealType mode(const distribution_archetype<RealType>& dist);template <class RealType>RealType skewness(const distribution_archetype<RealType>& dist);template <class RealType>RealType kurtosis_excess(const distribution_archetype<RealType>& dist);template <class RealType>RealType kurtosis(const distribution_archetype<RealType>& dist);template <class RealType>RealType median(const distribution_archetype<RealType>& dist);template <class RealType>std::pair<RealType, RealType> range(const distribution_archetype<RealType>& dist);template <class RealType>std::pair<RealType, RealType> support(const distribution_archetype<RealType>& dist);//// Next comes the concept checks for verifying that a class// fullfils the requirements of a Distribution://template <class Distribution>struct DistributionConcept{ void constraints() { function_requires<CopyConstructibleConcept<Distribution> >(); function_requires<AssignableConcept<Distribution> >(); typedef typename Distribution::value_type value_type; const Distribution& dist = DistributionConcept<Distribution>::get_object(); value_type x = 0; // The result values are ignored in all these checks. value_type v = cdf(dist, x); v = cdf(complement(dist, x)); v = pdf(dist, x); v = quantile(dist, x); v = quantile(complement(dist, x)); v = mean(dist); v = mode(dist); v = standard_deviation(dist); v = variance(dist); v = hazard(dist, x); v = chf(dist, x); v = coefficient_of_variation(dist); v = skewness(dist); v = kurtosis(dist); v = kurtosis_excess(dist); v = median(dist); std::pair<value_type, value_type> pv; pv = range(dist); pv = support(dist); float f = 1; v = cdf(dist, f); v = cdf(complement(dist, f)); v = pdf(dist, f); v = quantile(dist, f); v = quantile(complement(dist, f)); v = hazard(dist, f); v = chf(dist, f); double d = 1; v = cdf(dist, d); v = cdf(complement(dist, d)); v = pdf(dist, d); v = quantile(dist, d); v = quantile(complement(dist, d)); v = hazard(dist, d); v = chf(dist, d); long double ld = 1; v = cdf(dist, ld); v = cdf(complement(dist, ld)); v = pdf(dist, ld); v = quantile(dist, ld); v = quantile(complement(dist, ld)); v = hazard(dist, ld); v = chf(dist, ld); int i = 1; v = cdf(dist, i); v = cdf(complement(dist, i)); v = pdf(dist, i); v = quantile(dist, i); v = quantile(complement(dist, i)); v = hazard(dist, i); v = chf(dist, i); unsigned long li = 1; v = cdf(dist, li); v = cdf(complement(dist, li)); v = pdf(dist, li); v = quantile(dist, li); v = quantile(complement(dist, li)); v = hazard(dist, li); v = chf(dist, li); }private: static Distribution& get_object() { // will never get called: static char buf[sizeof(Distribution)]; return * reinterpret_cast<Distribution*>(buf); }}; // struct DistributionConcept} // namespace concepts} // namespace math} // namespace boost#endif // BOOST_MATH_DISTRIBUTION_CONCEPT_HPP
⌨️ 快捷键说明
复制代码Ctrl + C
搜索代码Ctrl + F
全屏模式F11
增大字号Ctrl + =
减小字号Ctrl + -
显示快捷键?