binomial_distribution (_IntType __t=_IntType(1), double __p=0.5)
binomial_distribution (const param_type &__p)
template<typename _ForwardIterator , typename _UniformRandomNumberGenerator > void __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng)
template<typename _ForwardIterator , typename _UniformRandomNumberGenerator > void __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng, const param_type &__p)
template<typename _UniformRandomNumberGenerator > void __generate (result_type *__f, result_type *__t, _UniformRandomNumberGenerator &__urng, const param_type &__p)
result_type max () const
Returns the least upper bound value of the distribution.
result_type min () const
Returns the greatest lower bound value of the distribution.
template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng)
Generating functions.
template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng, const param_type &__p)
double p () const
Returns the distribution p parameter.
param_type param () const
Returns the parameter set of the distribution.
void param (const param_type &__param)
Sets the parameter set of the distribution.
void reset ()
Resets the distribution state.
_IntType t () const
Returns the distribution t parameter.
template<typename _IntType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT, _Traits > & operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::binomial_distribution< _IntType1 > &__x)
Inserts a binomial_distribution random number distribution __x into the output stream __os.
bool operator== (const binomial_distribution &__d1, const binomial_distribution &__d2)
Return true if two binomial distributions have the same parameters and the sequences that would be generated are equal.
template<typename _IntType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT, _Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, std::binomial_distribution< _IntType1 > &__x)
Extracts a binomial_distribution random number distribution __x from the input stream __is.
The formula for the binomial probability density function is $p(i|t,p) = } p^i (1 - p)^{t - i}$ where $t$ and $p$ are the parameters of the distribution.
Definition at line 3662 of file random.h.
Definition at line 3665 of file random.h.
Returns the least upper bound value of the distribution.
Definition at line 3777 of file random.h.
Returns the greatest lower bound value of the distribution.
Definition at line 3770 of file random.h.
Generating functions.
Definition at line 3785 of file random.h.
Reference: Devroye, L. Non-Uniform Random Variates Generation. Springer-Verlag, New York, 1986, Ch. X, Sect. 4 (+ Errata!).
Definition at line 1537 of file bits/random.tcc.
References std::abs(), std::numeric_limits< _Tp >::epsilon(), std::log(), and std::numeric_limits< _Tp >::max().
Returns the distribution p parameter.
Definition at line 3748 of file random.h.
Returns the parameter set of the distribution.
Definition at line 3755 of file random.h.
Sets the parameter set of the distribution.
Parameters:
Definition at line 3763 of file random.h.
Resets the distribution state.
Definition at line 3734 of file random.h.
References std::normal_distribution< _RealType >::reset().
Returns the distribution t parameter.
Definition at line 3741 of file random.h.
Inserts a binomial_distribution random number distribution __x into the output stream __os.
Parameters:
Returns:
Return true if two binomial distributions have the same parameters and the sequences that would be generated are equal.
Definition at line 3821 of file random.h.
Extracts a binomial_distribution random number distribution __x from the input stream __is.
Parameters:
Returns:
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