Classes¶

struct param_type

Public Types¶

typedef _RealType result_type

Public Member Functions¶

normal_distribution (const param_type &__p)
normal_distribution (result_type __mean, result_type __stddev=result_type(1))
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. _RealType mean () const
Returns the mean 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)
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. _RealType stddev () const
Returns the standard deviation of the distribution.

Friends¶

template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT, _Traits > & operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::normal_distribution< _RealType1 > &__x)
Inserts a normal_distribution random number distribution __x into the output stream __os. template<typename _RealType1 > bool operator== (const std::normal_distribution< _RealType1 > &__d1, const std::normal_distribution< _RealType1 > &__d2)
Return true if two normal 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::normal_distribution< _RealType1 > &__x)
Extracts a normal_distribution random number distribution __x from the input stream __is.

template<typename _RealType = double>¶

class std::normal_distribution< _RealType >" A normal continuous distribution for random numbers.

The formula for the normal probability density function is p(x|,gma) = ac{1}{gma rt{2 i}}
e^{- ac{{x - }^ {2}}{2 gma ^ {2}} } ]

Definition at line 1964 of file random.h.