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boost::random::gamma_distribution
// In header: <boost/random/gamma_distribution.hpp> template<typename RealType = double> class gamma_distribution { public: // types typedef RealType ; typedef RealType ; // member classes/structs/unions class param_type { public: // types typedef gamma_distribution ; // construct/copy/destruct (const RealType & = , const RealType & = ); // public member functions RealType () ; RealType () ; // friend functions template<typename CharT, typename Traits> CharT, Traits > & (CharT, Traits > &, const param_type &); template<typename CharT, typename Traits> CharT, Traits > & (CharT, Traits > &, param_type &); bool (const param_type &, const param_type &); bool (const param_type &, const param_type &); }; // construct/copy/destruct (const result_type & = , const result_type & = ); (const param_type &); // public member functions RealType () ; RealType () ; RealType () ; RealType () ; param_type () ; void (const param_type &); void (); template<typename Engine> result_type (Engine &); template<typename URNG> RealType (URNG &, const param_type &) ; // friend functions template<typename CharT, typename Traits> CharT, Traits > & (CharT, Traits > &, const gamma_distribution &); template<typename CharT, typename Traits> CharT, Traits > & (CharT, Traits > &, gamma_distribution &); bool (const gamma_distribution &, const gamma_distribution &); bool (const gamma_distribution &, const gamma_distribution &); };
The gamma distribution is a continuous distribution with two parameters alpha and beta. It produces values > 0.
It has .
gamma_distribution
public
construct/copy/destruct(const result_type & alpha = , const result_type & beta = );
Creates a new gamma_distribution
with parameters "alpha" and "beta".
Requires: alpha > 0 && beta > 0
(const param_type & param);
Constructs a
from its parameters. gamma_distribution
gamma_distribution
public member functionsRealType () ;
Returns the "alpha" paramter of the distribution.
RealType () ;
Returns the "beta" parameter of the distribution.
RealType () ;
Returns the smallest value that the distribution can produce.
RealType () ;
param_type () ;
Returns the parameters of the distribution.
void (const param_type & param);
Sets the parameters of the distribution.
void ();
Effects: Subsequent uses of the distribution do not depend on values produced by any engine prior to invoking reset.
template<typename Engine> result_type (Engine & eng);
Returns a random variate distributed according to the gamma distribution.
template<typename URNG> RealType (URNG & urng, const param_type & param) ;
gamma_distribution
friend functionstemplate<typename CharT, typename Traits> CharT, Traits > & (CharT, Traits > & os, const gamma_distribution & gd);
Writes a
to a gamma_distribution
std::ostream
.
template<typename CharT, typename Traits> CharT, Traits > & (CharT, Traits > & is, gamma_distribution & gd);
Reads a
from a gamma_distribution
std::istream
.
bool (const gamma_distribution & lhs, const gamma_distribution & rhs);
Returns true if the two distributions will produce identical sequences of random variates given equal generators.
bool (const gamma_distribution & lhs, const gamma_distribution & rhs);
Returns true if the two distributions can produce different sequences of random variates, given equal generators.