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std::exponential_distribution< _RealType >

An exponential continuous distribution for random numbers.


struct param_type


typedef _RealType result_type


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.


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

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 4639 of file random.h.

The type of the range of the distribution.

Definition at line 4646 of file random.h.

template<typename _RealType = double> std::exponential_distribution< _RealType >::exponential_distribution () [inline]

Constructs an exponential distribution with inverse scale parameter 1.0.

Definition at line 4683 of file random.h.

template<typename _RealType = double> std::exponential_distribution< _RealType >::exponential_distribution (_RealType __lambda) [inline], [explicit]

Constructs an exponential distribution with inverse scale parameter $$.

Definition at line 4690 of file random.h.

Returns the inverse scale parameter of the distribution.

Definition at line 4711 of file random.h.

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 4740 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 4733 of file random.h.

Generating functions.

Definition at line 4748 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 4718 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

__param The new parameter set of the distribution.

Definition at line 4726 of file random.h.

template<typename _RealType = double> void std::exponential_distribution< _RealType >::reset () [inline]

Resets the distribution state. Has no effect on exponential distributions.

Definition at line 4705 of file random.h.

Return true if two exponential distributions have the same parameters.

Definition at line 4788 of file random.h.

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