Provided by: libstdc++6-4.7-doc_4.7.4-3ubuntu12_all 

NAME
std::normal_distribution< _RealType > -
SYNOPSIS
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)
result_type max () const
_RealType mean () const
result_type min () const
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)
Detailed Description
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|,ma) = ac{1}{ma t{2 i}}
e^{- ac{{x - }^ {2}}{2 ma ^ {2}} } ]
Definition at line 1979 of file random.h.
Member Typedef Documentation
template<typename _RealType = double> typedef _RealType std::normal_distribution< _RealType >::result_type
The type of the range of the distribution.
Definition at line 1982 of file random.h.
Constructor & Destructor Documentation
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 2024 of file random.h.
Member Function Documentation
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 2081 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 2045 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 2074 of file random.h.
template<typename _RealType = double> template<typename _UniformRandomNumberGenerator > result_type
std::normal_distribution< _RealType >::operator() (_UniformRandomNumberGenerator & __urng) [inline]
Generating functions.
Definition at line 2089 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 2059 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:
__param The new parameter set of the distribution.
Definition at line 2067 of file random.h.
template<typename _RealType = double> void std::normal_distribution< _RealType >::reset () [inline]
Resets the distribution state.
Definition at line 2038 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 2052 of file random.h.
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
std::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 > 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:
__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++ Mon Jan 18 2016 std::normal_distribution< _RealType >(3cxx)