Classes

struct param_type

Public Types

typedef _RealType result_type

Public Member Functions

exponential_distribution ()
Constructs an exponential distribution with inverse scale parameter 1.0. exponential_distribution (_RealType __lambda)
Constructs an exponential distribution with inverse scale parameter $$. exponential_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)
_RealType lambda () const
Returns the inverse scale parameter of the distribution. result_type max () const
Returns the least upper bound value 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.

Friends

bool operator== (const exponential_distribution &__d1, const exponential_distribution &__d2)
Return true if two exponential distributions have the same parameters.

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 $p(x|) = e^{- x}$.

Distribution StatisticsMean$ac{1}{}$ Median$ac{ge$[0, infty]$ Standard Deviation$ac{1}{}$

Definition at line 4636 of file random.h.