Classes¶

struct param_type

Public Types¶

typedef _RealType result_type

Public Member Functions¶

exponential_distribution (const result_type &__lambda=result_type(1))
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
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)
void reset ()

Friends¶

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

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 4481 of file random.h.

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

The type of the range of the distribution.

Definition at line 4484 of file random.h.

template<typename _RealType = double> std::exponential_distribution< _RealType >::exponential_distribution (const result_type & __lambda = result_type(1)) [inline], [explicit]¶

Constructs an exponential distribution with inverse scale parameter $$.

Definition at line 4519 of file random.h.

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

Returns the inverse scale parameter of the distribution.

Definition at line 4540 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 4569 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 4562 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 4577 of file random.h.

References std::log().

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

Returns the parameter set of the distribution.

Definition at line 4547 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:

Definition at line 4555 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 4534 of file random.h.

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 4617 of file random.h.