Classes¶

struct param_type

Public Types¶

typedef _RealType result_type

Public Member Functions¶

normal_distribution (result_type __mean=result_type(0), result_type __stddev=result_type(1))
normal_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
_RealType mean () const
result_type min () const
template<typename _UniformRandomNumberGenerator > normal_distribution< _RealType >
::result_type operator() (_UniformRandomNumberGenerator &__urng, const param_type &__param)"
template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng)
template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng, const param_type &__p)
param_type param () const
void param (const param_type &__param)
void reset ()
_RealType stddev () const

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)"
template<typename _RealType1 > bool operator== (const std::normal_distribution< _RealType1 > &__d1, const std::normal_distribution< _RealType1 > &__d2)
template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT,
_Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, std::normal_distribution< _RealType1 > &__x)"

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 2085 of file random.h.

template<typename _RealType = double> typedef _RealType std::normal_distribution< _RealType >::result_type¶

The type of the range of the distribution.

Definition at line 2088 of file random.h.

template<typename _RealType = double> std::normal_distribution< _RealType >::normal_distribution (result_type__mean = result_type(0), result_type__stddev = result_type(1)) [inline], [explicit]¶

Constructs a normal distribution with parameters $mean$ and standard deviation.

Definition at line 2130 of file random.h.

template<typename _RealType = double> result_type std::normal_distribution< _RealType >::max () const [inline]¶

Returns the least upper bound value of the distribution.

Definition at line 2187 of file random.h.

template<typename _RealType = double> _RealType std::normal_distribution< _RealType >::mean () const [inline]¶

Returns the mean of the distribution.

Definition at line 2151 of file random.h.

template<typename _RealType = double> result_type std::normal_distribution< _RealType >::min () const [inline]¶

Returns the greatest lower bound value of the distribution.

Definition at line 2180 of file random.h.

template<typename _RealType = double> template<typename _UniformRandomNumberGenerator > normal_distribution<_RealType>::result_type std::normal_distribution< _RealType >::operator() (_UniformRandomNumberGenerator &__urng, const param_type &__param)¶

Polar method due to Marsaglia.

Devroye, L. Non-Uniform Random Variates Generation. Springer-Verlag, New York, 1986, Ch. V, Sect. 4.4.

Definition at line 1935 of file bits/random.tcc.

References std::log(), and std::sqrt().

template<typename _RealType = double> template<typename _UniformRandomNumberGenerator > result_type std::normal_distribution< _RealType >::operator() (_UniformRandomNumberGenerator &__urng) [inline]¶

Generating functions.

Definition at line 2195 of file random.h.

Referenced by std::normal_distribution< result_type >::operator()().

template<typename _RealType = double> param_type std::normal_distribution< _RealType >::param () const [inline]¶

Returns the parameter set of the distribution.

Definition at line 2165 of file random.h.

template<typename _RealType = double> void std::normal_distribution< _RealType >::param (const param_type &__param) [inline]¶

Sets the parameter set of the distribution.

Parameters:

Definition at line 2173 of file random.h.

template<typename _RealType = double> void std::normal_distribution< _RealType >::reset () [inline]¶

Resets the distribution state.

Definition at line 2144 of file random.h.

Referenced by std::lognormal_distribution< _RealType >::reset(), std::gamma_distribution< result_type >::reset(), std::student_t_distribution< _RealType >::reset(), std::binomial_distribution< _IntType >::reset(), and std::poisson_distribution< _IntType >::reset().

template<typename _RealType = double> _RealType std::normal_distribution< _RealType >::stddev () const [inline]¶

Returns the standard deviation of the distribution.

Definition at line 2158 of file random.h.

template<typename _RealType = double> 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) [friend]¶

Inserts a normal_distribution random number distribution __x into the output stream __os.

Parameters:

Returns:

template<typename _RealType = double> template<typename _RealType1 > bool operator== (const std::normal_distribution< _RealType1 > &__d1, const std::normal_distribution< _RealType1 > &__d2) [friend]¶

Return true if two normal distributions have the same parameters and the sequences that would be generated are equal.

template<typename _RealType = double> template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream<_CharT, _Traits>& operator>> (std::basic_istream< _CharT, _Traits > &__is, std::normal_distribution< _RealType1 > &__x) [friend]¶

Extracts a normal_distribution random number distribution __x from the input stream __is.

Parameters:

Returns: