chi_squared_distribution (_RealType __n=_RealType(1))
chi_squared_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)
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.
_RealType n () const
template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng)
Generating functions.
template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng, const param_type &__p)
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.
template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT, _Traits > & operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::chi_squared_distribution< _RealType1 > &__x)
Inserts a chi_squared_distribution random number distribution __x into the output stream __os.
bool operator== (const chi_squared_distribution &__d1, const chi_squared_distribution &__d2)
Return true if two Chi-squared distributions have the same parameters and the sequences that would be generated are equal.
template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT, _Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, std::chi_squared_distribution< _RealType1 > &__x)
Extracts a chi_squared_distribution random number distribution __x from the input stream __is.
The formula for the normal probability mass function is $p(x|n) = ac{x^{(n/2) - 1}e^{-x/2}}{Gamma(n/2) 2^{n/2}}$
Definition at line 2574 of file random.h.
Definition at line 2577 of file random.h.
Returns the least upper bound value of the distribution.
Definition at line 2664 of file random.h.
References std::numeric_limits< _Tp >::max().
Returns the greatest lower bound value of the distribution.
Definition at line 2657 of file random.h.
Generating functions.
Definition at line 2672 of file random.h.
Returns the parameter set of the distribution.
Definition at line 2637 of file random.h.
Sets the parameter set of the distribution.
Parameters:
Definition at line 2645 of file random.h.
References std::gamma_distribution< _RealType >::param().
Resets the distribution state.
Definition at line 2623 of file random.h.
References std::gamma_distribution< _RealType >::reset().
Inserts a chi_squared_distribution random number distribution __x into the output stream __os.
Parameters:
Returns:
Return true if two Chi-squared distributions have the same parameters and the sequences that would be generated are equal.
Definition at line 2723 of file random.h.
Extracts a chi_squared_distribution random number distribution __x from the input stream __is.
Parameters:
Returns:
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