A normal continuous distribution for random numbers. More...

A normal continuous distribution for random numbers.
The formula for the normal probability density function is
Definition at line 1990 of file random.h.
| typedef _RealType std::normal_distribution< _RealType >::result_type |
| std::normal_distribution< _RealType >::normal_distribution | ( | result_type | __mean = result_type(0), |
|
| result_type | __stddev = result_type(1) | |||
| ) | [inline, explicit] |
| result_type std::normal_distribution< _RealType >::max | ( | ) | const [inline] |
Returns the least upper bound value of the distribution.
Definition at line 2092 of file random.h.
Referenced by std::normal_distribution< result_type >::max().
| _RealType std::normal_distribution< _RealType >::mean | ( | ) | const [inline] |
| result_type std::normal_distribution< _RealType >::min | ( | ) | const [inline] |
Returns the greatest lower bound value of the distribution.
Definition at line 2085 of file random.h.
Referenced by std::normal_distribution< result_type >::min().
| result_type std::normal_distribution< _RealType >::operator() | ( | _UniformRandomNumberGenerator & | __urng | ) | [inline] |
Generating functions.
Definition at line 2100 of file random.h.
Referenced by std::normal_distribution< result_type >::operator()().
| 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 1607 of file random.tcc.
References std::log(), and std::sqrt().
| void std::normal_distribution< _RealType >::param | ( | const param_type & | __param | ) | [inline] |
| param_type std::normal_distribution< _RealType >::param | ( | ) | const [inline] |
Returns the parameter set of the distribution.
Definition at line 2070 of file random.h.
Referenced by std::normal_distribution< result_type >::operator()().
| void std::normal_distribution< _RealType >::reset | ( | ) | [inline] |
Resets the distribution state.
Definition at line 2049 of file random.h.
Referenced by std::poisson_distribution< _IntType >::reset(), std::binomial_distribution< _IntType >::reset(), std::student_t_distribution< _RealType >::reset(), std::gamma_distribution< result_type >::reset(), and std::lognormal_distribution< _RealType >::reset().
| _RealType std::normal_distribution< _RealType >::stddev | ( | ) | const [inline] |
| std::basic_ostream<_CharT, _Traits>& operator<< | ( | std::basic_ostream< _CharT, _Traits > & | , | |
| const std::normal_distribution< _RealType1 > & | ||||
| ) | [friend] |
Inserts a normal_distribution random number distribution __x into the output stream __os.
| __os | An output stream. | |
| __x | A normal_distribution random number distribution. |
__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.
| std::basic_istream<_CharT, _Traits>& operator>> | ( | std::basic_istream< _CharT, _Traits > & | , | |
| std::normal_distribution< _RealType1 > & | ||||
| ) | [friend] |
Extracts a normal_distribution random number distribution __x from the input stream __is.
| __is | An input stream. | |
| __x | A normal_distribution random number generator engine. |
__x extracted or in an error state.
1.7.1