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 > | |
| 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 > &, const std::normal_distribution< _RealType1 > &) |
| 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 > &, std::normal_distribution< _RealType1 > &) |
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
![\[ p(x|\mu,\sigma) = \frac{1}{\sigma \sqrt{2 \pi}} e^{- \frac{{x - \mu}^ {2}}{2 \sigma ^ {2}} } \]](form_6.png)
Member Typedef Documentation
| typedef _RealType std::normal_distribution< _RealType >::result_type |
Constructor & Destructor Documentation
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inlineexplicit |
and standard deviation. Member Function Documentation
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inline |
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inline |
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| 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 1651 of file random.tcc.
References std::log(), and std::sqrt().
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Generating functions.
Definition at line 2082 of file random.h.
Referenced by std::normal_distribution< result_type >::operator()().
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Returns the parameter set of the distribution.
Definition at line 2052 of file random.h.
Referenced by std::normal_distribution< result_type >::operator()().
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Resets the distribution state.
Definition at line 2031 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().
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Friends And Related Function Documentation
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friend |
Inserts a normal_distribution random number distribution __x into the output stream __os.
- Parameters
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__os An output stream. __x A normal_distribution random number distribution.
- Returns
- The output stream with the state of
__xinserted or in an error state.
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friend |
Return true if two normal distributions have the same parameters and the sequences that would be generated are equal.
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friend |
Extracts a normal_distribution random number distribution __x from the input stream __is.
- Parameters
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__is An input stream. __x A normal_distribution random number generator engine.
- Returns
- The input stream with
__xextracted or in an error state.
The documentation for this class was generated from the following files:
