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| negative_binomial_distribution (_IntType __k=1, double __p=0.5) |
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| negative_binomial_distribution (const param_type &__p) |
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template<typename _ForwardIterator , typename _UniformRandomNumberGenerator > |
void | __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng) |
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template<typename _ForwardIterator , typename _UniformRandomNumberGenerator > |
void | __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng, const param_type &__p) |
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template<typename _UniformRandomNumberGenerator > |
void | __generate (result_type *__f, result_type *__t, _UniformRandomNumberGenerator &__urng) |
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template<typename _UniformRandomNumberGenerator > |
void | __generate (result_type *__f, result_type *__t, _UniformRandomNumberGenerator &__urng, const param_type &__p) |
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_IntType | k () const |
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result_type | max () const |
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result_type | min () const |
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template<typename _UniformRandomNumberGenerator > |
result_type | operator() (_UniformRandomNumberGenerator &__urng) |
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template<typename _UniformRandomNumberGenerator > |
result_type | operator() (_UniformRandomNumberGenerator &__urng, const param_type &__p) |
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double | p () const |
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param_type | param () const |
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void | param (const param_type &__param) |
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void | reset () |
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template<typename _IntType1 , typename _CharT , typename _Traits > |
std::basic_ostream< _CharT, _Traits > & | operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::negative_binomial_distribution< _IntType1 > &__x) |
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bool | operator== (const negative_binomial_distribution &__d1, const negative_binomial_distribution &__d2) |
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template<typename _IntType1 , typename _CharT , typename _Traits > |
std::basic_istream< _CharT, _Traits > & | operator>> (std::basic_istream< _CharT, _Traits > &__is, std::negative_binomial_distribution< _IntType1 > &__x) |
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template<typename _IntType = int>
class std::negative_binomial_distribution< _IntType >
A negative_binomial_distribution random number distribution.
The formula for the negative binomial probability mass function is where and are the parameters of the distribution.
Definition at line 4208 of file random.h.