2.9 KiB
[rand.dist.pois.gamma]
29 Numerics library [numerics]
29.5 Random number generation [rand]
29.5.9 Random number distribution class templates [rand.dist]
29.5.9.4 Poisson distributions [rand.dist.pois]
29.5.9.4.3 Class template gamma_distribution [rand.dist.pois.gamma]
A gamma_distribution random number distribution produces random numbers x>0 distributed according to the probability density function in Formula 29.10.
p(x|α,β)=eâx/ββαâÎ(α)âxαâ1(29.10)
namespace std {templateclass gamma_distribution {public:// typesusing result_type = RealType; using param_type = unspecified; // constructors and reset functions gamma_distribution() : gamma_distribution(1.0) {}explicit gamma_distribution(RealType alpha, RealType beta = 1.0); explicit gamma_distribution(const param_type& parm); void reset(); // equality operatorsfriend bool operator==(const gamma_distribution& x, const gamma_distribution& y); // generating functionstemplate result_type operator()(URBG& g); template result_type operator()(URBG& g, const param_type& parm); // property functions RealType alpha() const; RealType beta() const; param_type param() const; void param(const param_type& parm); result_type min() const; result_type max() const; // inserters and extractorstemplate<class charT, class traits>friend basic_ostream<charT, traits>&operator<<(basic_ostream<charT, traits>& os, const gamma_distribution& x); template<class charT, class traits>friend basic_istream<charT, traits>&operator>>(basic_istream<charT, traits>& is, gamma_distribution& x); };}
explicit gamma_distribution(RealType alpha, RealType beta = 1.0);
Preconditions: 0<alpha and 0<beta.
Remarks: alpha and beta correspond to the parameters of the distribution.
RealType alpha() const;
Returns: The value of the alpha parameter with which the object was constructed.
RealType beta() const;
Returns: The value of the beta parameter with which the object was constructed.