| std::normal_distribution< _RealType >(3cxx) | std::normal_distribution< _RealType >(3cxx) |
std::normal_distribution< _RealType > - A normal continuous distribution for random numbers.
struct param_type
typedef _RealType result_type
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
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
p(x|,gma) = ac{1}{gma rt{2 i}}
e^{- ac{{x - }^ {2}}{2 gma ^ {2}} } ]
Definition at line 1925 of file random.h.
The type of the range of the distribution.
Definition at line 1928 of file random.h.
Constructs a normal distribution with parameters $mean$ and standard deviation.
Definition at line 1975 of file random.h.
Returns the least upper bound value of the distribution.
Definition at line 2032 of file random.h.
Returns the mean of the distribution.
Definition at line 1996 of file random.h.
Returns the greatest lower bound value of the distribution.
Definition at line 2025 of file random.h.
Generating functions.
Definition at line 2040 of file random.h.
Referenced by std::operator>>().
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 1783 of file bits/random.tcc.
Returns the parameter set of the distribution.
Definition at line 2010 of file random.h.
Sets the parameter set of the distribution.
Parameters:
Definition at line 2018 of file random.h.
Resets the distribution state.
Definition at line 1989 of file random.h.
Returns the standard deviation of the distribution.
Definition at line 2003 of file random.h.
Inserts a normal_distribution random number distribution __x into the output stream __os.
Parameters:
Returns:
Return true if two normal distributions have the same parameters and the sequences that would be generated are equal.
Extracts a normal_distribution random number distribution __x from the input stream __is.
Parameters:
Returns:
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| Mon Feb 25 2019 | libstdc++ |