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regarded and expertly designed C++ library projects in the
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— Herb Sutter and Andrei
Alexandrescu, C++
Coding Standards
boost::random::beta_distribution
// In header: <boost/random/beta_distribution.hpp> template<typename RealType = double> class beta_distribution { public: // types typedef RealType result_type; typedef RealType input_type; // member classes/structs/unions class param_type { public: // types typedef beta_distribution distribution_type; // public member functions explicit param_type(RealType = 1.0, RealType = 1.0); RealType alpha() const; RealType beta() 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 > &, const param_type &); bool operator==(const param_type &, const param_type &); bool operator!=(const param_type &, const param_type &); }; // public member functions explicit beta_distribution(RealType = 1.0, RealType = 1.0); explicit beta_distribution(const param_type &); template<typename URNG> RealType operator()(URNG &) const; template<typename URNG> RealType operator()(URNG &, const param_type &) const; RealType alpha() const; RealType beta() const; RealType min() const; RealType 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 beta_distribution &); template<typename CharT, typename Traits> std::basic_istream< CharT, Traits > & operator>>(std::basic_istream< CharT, Traits > &, const beta_distribution &); bool operator==(const beta_distribution &, const beta_distribution &); bool operator!=(const beta_distribution &, const beta_distribution &); };
The beta distribution is a real-valued distribution which produces values in the range [0, 1]. It has two parameters, alpha and beta.
It has .
beta_distribution
public member functionsexplicit beta_distribution(RealType alpha = 1.0, RealType beta = 1.0);
Constructs an beta_distribution
from its "alpha" and "beta" parameters.
Requires: alpha > 0, beta > 0
explicit beta_distribution(const param_type & param);
Constructs an beta_distribution
from its parameters.
template<typename URNG> RealType operator()(URNG & urng) const;
Returns a random variate distributed according to the beta distribution.
template<typename URNG> RealType operator()(URNG & urng, const param_type & param) const;
Returns a random variate distributed accordint to the beta distribution with parameters specified by param
.
RealType alpha() const;
Returns the "alpha" parameter of the distribution.
RealType beta() const;
Returns the "beta" parameter of the distribution.
RealType min() const;
Returns the smallest value that the distribution can produce.
RealType max() const;
Returns the largest value that the distribution can produce.
param_type param() const;
Returns the parameters of the distribution.
void param(const param_type & param);
Sets the parameters of the distribution.
void reset();
Effects: Subsequent uses of the distribution do not depend on values produced by any engine prior to invoking reset.
beta_distribution
friend functionstemplate<typename CharT, typename Traits> std::basic_ostream< CharT, Traits > & operator<<(std::basic_ostream< CharT, Traits > & os, const beta_distribution & wd);
Writes an beta_distribution
to a std::ostream
.
template<typename CharT, typename Traits> std::basic_istream< CharT, Traits > & operator>>(std::basic_istream< CharT, Traits > & is, const beta_distribution & wd);
Reads an beta_distribution
from a std::istream
.
bool operator==(const beta_distribution & lhs, const beta_distribution & rhs);
Returns true if the two instances of beta_distribution
will return identical sequences of values given equal generators.
bool operator!=(const beta_distribution & lhs, const beta_distribution & rhs);
Returns true if the two instances of beta_distribution
will return different sequences of values given equal generators.