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std::normal_distribution< _RealType >(3cxx) std::normal_distribution< _RealType >(3cxx)

NAME

std::normal_distribution< _RealType > -

SYNOPSIS

Public Types


typedef _RealType input_type
 
typedef _RealType result_type
 

Public Member Functions


_RealType mean () const
 
normal_distribution (const result_type &__mean=result_type(0), const result_type &__sigma=result_type(1))
 
template<class _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng)
 
void reset ()
 
_RealType sigma () const
 

Friends


template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT,
 
_Traits > & operator<< (std::basic_ostream< _CharT, _Traits > &__os, const normal_distribution< _RealType1 > &__x)"
 
template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT,
 
_Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, normal_distribution< _RealType1 > &__x)"
 

Detailed Description

 

template<typename _RealType = double>class std::normal_distribution< _RealType >

A normal continuous distribution for random numbers.
 
The formula for the normal probability mass function is $ p(x) = ac{1}{gma rt{2 pi}} e^{- ac{{x - mean}^ {2}}{2 gma ^ {2}} } $.
Definition at line 2231 of file tr1_impl/random.

Constructor & Destructor Documentation

template<typename _RealType = double> std::normal_distribution< _RealType >:: normal_distribution (const result_type &__mean = result_type(0), const result_type &__sigma = result_type(1)) [inline], [explicit]

Constructs a normal distribution with parameters $ mean $ and $ gma $.
Definition at line 2244 of file tr1_impl/random.

Member Function Documentation

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

Gets the mean of the distribution.
Definition at line 2255 of file tr1_impl/random.

template<typename _RealType > template<class _UniformRandomNumberGenerator > normal_distribution< _RealType >::result_type std::normal_distribution< _RealType >::operator() (_UniformRandomNumberGenerator &__urng)

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 1390 of file random.tcc.
References std::log(), and std::sqrt().

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

Resets the distribution.
Definition at line 2269 of file tr1_impl/random.

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

Gets the $ gma $ of the distribution.
Definition at line 2262 of file tr1_impl/random.

Friends And Related Function Documentation

template<typename _RealType = double> template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_ostream<_CharT, _Traits>& operator<< ( std::basic_ostream< _CharT, _Traits > &__os, const normal_distribution< _RealType1 > &__x) [friend]

Inserts a normal_distribution random number distribution __x into the output stream __os.
Parameters:
__os An output stream.
 
__x A normal_distribution random number distribution.
Returns:
The output stream with the state of __x inserted or in an error state.
 

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

Extracts a normal_distribution random number distribution __x from the input stream __is.
Parameters:
__is An input stream.
 
__x A normal_distribution random number generator engine.
Returns:
The input stream with __x extracted or in an error state.
 
 

Author

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Thu Aug 2 2012 libstdc++