boost::poisson_distribution
// In header: <boost/random/poisson_distribution.hpp> template<typename IntType = int, typename RealType = double> class poisson_distribution { public: // types typedef IntType result_type; typedef RealType input_type; // member classes/structs/unions class param_type { public: // types typedef poisson_distribution distribution_type; // public member functions explicit param_type(RealType = 1); RealType mean() const; // friend functions template<typename CharT, typename Traits> std::basic_ostream< CharT, Traits > & operator<<(std::basic_ostream< CharT, Traits > &, const param_type &); template<typename CharT, typename Traits> std::basic_istream< CharT, Traits > & operator>>(std::basic_istream< CharT, Traits > &, param_type &); bool operator==(const param_type &, const param_type &); bool operator!=(const param_type &, const param_type &); }; // public member functions explicit poisson_distribution(RealType = 1); explicit poisson_distribution(const param_type &); template<typename URNG> IntType operator()(URNG &) const; template<typename URNG> IntType operator()(URNG &, const param_type &) const; RealType mean() const; IntType min() const; IntType max() const; param_type param() const; void param(const param_type &); void reset(); // friend functions template<typename CharT, typename Traits> std::basic_ostream< CharT, Traits > & operator<<(std::basic_ostream< CharT, Traits > &, const poisson_distribution &); template<typename CharT, typename Traits> std::basic_istream< CharT, Traits > & operator>>(std::basic_istream< CharT, Traits > &, poisson_distribution &); bool operator==(const poisson_distribution &, const poisson_distribution &); bool operator!=(const poisson_distribution &, const poisson_distribution &); };
类模板 poisson_distribution 的一个实例是 随机分布 的模型。泊松分布具有 
此实现基于 PTRD 算法,该算法在以下文献中进行了描述:
"The transformed rejection method for generating Poisson random variables", Wolfgang Hormann, Insurance: Mathematics and Economics Volume 12, Issue 1, February 1993, Pages 39-45
poisson_distribution 公有成员函数explicit poisson_distribution(RealType mean = 1);
使用参数 mean 构建 poisson_distribution。
要求:mean > 0
explicit poisson_distribution(const param_type & param);
从参数构造 poisson_distribution 对象。
template<typename URNG> IntType operator()(URNG & urng) const;
返回一个根据泊松分布分布的随机变量。
template<typename URNG> IntType operator()(URNG & urng, const param_type & param) const;
返回一个根据由 param 指定的参数的泊松分布分布的随机变量。
RealType mean() const;
返回分布的“均值”参数。
IntType min() const;
返回分布可以产生的最小值。
IntType max() const;
返回分布可以产生的最大值。
param_type param() const;
返回分布的参数。
void param(const param_type & param);
设置分布的参数。
void reset();
效果:随后的分布使用不依赖于调用 reset 之前的任何引擎生成的值。
poisson_distribution 友元函数template<typename CharT, typename Traits> std::basic_ostream< CharT, Traits > & operator<<(std::basic_ostream< CharT, Traits > & os, const poisson_distribution & pd);
将分布的参数写入 std::ostream。
template<typename CharT, typename Traits> std::basic_istream< CharT, Traits > & operator>>(std::basic_istream< CharT, Traits > & is, poisson_distribution & pd);
从 std::istream 读取分布的参数。
bool operator==(const poisson_distribution & lhs, const poisson_distribution & rhs);
如果两个分布在给定相同的生成器时会产生相同的数值序列,则返回 true。
bool operator!=(const poisson_distribution & lhs, const poisson_distribution & rhs);
如果两个分布在给定相同的生成器时可能产生不同的数值序列,则返回 true。