Manpages - std_normal_distribution.3

struct param_type

typedef _RealType result_type

normal_distribution (const param_type &__p)

normal_distribution (result_type __mean, result_type __stddev=*result_type*(1))

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
Returns the least upper bound value of the distribution.

_RealType mean () const
Returns the mean of the distribution.

result_type min () const
Returns the greatest lower bound value of the distribution.

template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng)
Generating functions.

template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng, const param_type &__p)

param_type param () const
Returns the parameter set of the distribution.

void param (const param_type &__param)
Sets the parameter set of the distribution.

void reset ()
Resets the distribution state.

_RealType stddev () const
Returns the standard deviation of the distribution.

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

template<typename _RealType1 > bool operator== (const *std::normal_distribution*< _RealType1 > &__d1, const *std::normal_distribution*< _RealType1 > &__d2)
Return true if two normal distributions have the same parameters and the sequences that would be generated are equal.

template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream*< _CharT, _Traits > & *operator>> (*std::basic_istream*< _CharT, _Traits > &__is, *std::normal_distribution*< _RealType1 > &__x)
Extracts a normal_distribution random number distribution __x from the input stream __is.

class std::normal_distribution< _RealType >“A normal continuous distribution for random numbers.

The formula for the normal probability density function is �

Definition at line 1972 of file random.h.

std::normal_distribution*< _RealType >::*result_type The type of the range of the distribution.

Definition at line 1979 of file random.h.

_RealType >::*normal_distribution* ()= [inline]= Definition at line 2018 of file random.h.

_RealType >::*normal_distribution* (result_type __mean, result_type __stddev = result_type*=(1)=)*= [inline]=*, *= [explicit]= Constructs a normal distribution with parameters \(mean\) and standard deviation.

Definition at line 2025 of file random.h.

_RealType >::normal_distribution (const param_type & __p)*= [inline]=*, = [explicit]= Definition at line *2031 of file random.h.

_ForwardIterator , typename _UniformRandomNumberGenerator > void std::normal_distribution< _RealType >::__generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator & __urng)*= [inline]= Definition at line *2101 of file random.h.

_ForwardIterator , typename _UniformRandomNumberGenerator > void std::normal_distribution< _RealType >::__generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator & __urng, const param_type & __p)*= [inline]= Definition at line *2108 of file random.h.

_UniformRandomNumberGenerator > void std::normal_distribution< _RealType >::__generate (result_type * __f, result_type * __t, _UniformRandomNumberGenerator & __urng, const param_type & __p)*= [inline]= Definition at line *2115 of file random.h.

std::normal_distribution< _RealType >::max () const*= [inline]= Returns the least upper bound value of the distribution.

Definition at line 2082 of file random.h.

References std::numeric_limits< _Tp >::max().

*std::normal_distribution< _RealType >::mean () const*= [inline]= Returns the mean of the distribution.

Definition at line 2046 of file random.h.

std::normal_distribution< _RealType >::min () const*= [inline]= Returns the greatest lower bound value of the distribution.

Definition at line 2075 of file random.h.

References std::numeric_limits< _Tp >::lowest().

_UniformRandomNumberGenerator > *result_type std::normal_distribution< _RealType >::operator() (_UniformRandomNumberGenerator & __urng)*= [inline]= Generating functions.

Definition at line 2090 of file random.h.

References std::normal_distribution< _RealType >::operator()().

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

_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 1803 of file bits/random.tcc.

std::normal_distribution< _RealType >::param () const*= [inline]= Returns the parameter set of the distribution.

Definition at line 2060 of file random.h.

_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 2068 of file random.h.

_RealType >::reset ()*= [inline]= Resets the distribution state.

Definition at line 2039 of file random.h.

*std::normal_distribution< _RealType >::stddev () const*= [inline]= Returns the standard deviation of the distribution.

Definition at line 2053 of file random.h.

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. *

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.

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. *