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std::exponential_distribution< _RealType > Class Template Reference
Poisson Distributions

Classes

struct  param_type
 

Public Types

typedef _RealType result_type
 

Public Member Functions

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
 
result_type min () const
 
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)
 

Public Attributes

 __pad0__: _M_param(__lambda) { } explicit exponential_distribution(const param_type& __p) : _M_param(__p) { } void reset() { } _RealType lambda() const { return _M_param.lambda()
 

Friends

bool operator== (const exponential_distribution &__d1, const exponential_distribution &__d2)
 

Detailed Description

template<typename _RealType = double>
class std::exponential_distribution< _RealType >

An exponential continuous distribution for random numbers.

The formula for the exponential probability density function is $p(x|\lambda) = \lambda e^{-\lambda x}$.

Distribution Statistics
Mean$\frac{1}{\lambda}$
Median$\frac{\ln 2}{\lambda}$
Mode$zero$
Range$[0, \infty]$
Standard Deviation$\frac{1}{\lambda}$

Definition at line 4646 of file random.h.

Member Typedef Documentation

template<typename _RealType = double>
typedef _RealType std::exponential_distribution< _RealType >::result_type

The type of the range of the distribution.

Definition at line 4649 of file random.h.

Member Function Documentation

template<typename _RealType = double>
result_type std::exponential_distribution< _RealType >::max ( ) const
inline

Returns the least upper bound value of the distribution.

Definition at line 4734 of file random.h.

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

template<typename _RealType = double>
result_type std::exponential_distribution< _RealType >::min ( ) const
inline

Returns the greatest lower bound value of the distribution.

Definition at line 4727 of file random.h.

template<typename _RealType = double>
template<typename _UniformRandomNumberGenerator >
result_type std::exponential_distribution< _RealType >::operator() ( _UniformRandomNumberGenerator &  __urng)
inline

Generating functions.

Definition at line 4742 of file random.h.

template<typename _RealType = double>
param_type std::exponential_distribution< _RealType >::param ( ) const
inline

Returns the parameter set of the distribution.

Definition at line 4712 of file random.h.

Referenced by std::operator>>().

template<typename _RealType = double>
void std::exponential_distribution< _RealType >::param ( const param_type &  __param)
inline

Sets the parameter set of the distribution.

Parameters
__paramThe new parameter set of the distribution.

Definition at line 4720 of file random.h.

Friends And Related Function Documentation

template<typename _RealType = double>
bool operator== ( const exponential_distribution< _RealType > &  __d1,
const exponential_distribution< _RealType > &  __d2 
)
friend

Return true if two exponential distributions have the same parameters.

Definition at line 4782 of file random.h.

Member Data Documentation

template<typename _RealType = double>
std::exponential_distribution< _RealType >::__pad0__
explicit

Constructs an exponential distribution with inverse scale parameter $\lambda$.

Definition at line 4706 of file random.h.

The documentation for this class was generated from the following files: