std::normal_distribution<; _RealType >(std::normal_distribution< _RealType >(3)
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)
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)"
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 2085 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 2088 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 2130 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 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:
__param The new parameter set of the distribution.
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.
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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