std::normal_distribution(3)std::normal_distribution(3)NAMEstd::normal_distribution-
A normal continuous distribution for random numbers.
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}{ma t{2 i}}
e^{- ac{{x - mean}^ {2}}{2 ma ^ {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 $ ma $.
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) [inline] 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 $ ma $ 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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libstdc++ 22 Nov 2013 std::normal_distribution(3)
