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$ac{1}{}$

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

The type of the range of the distribution.

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

Constructs an exponential distribution with inverse scale parameter 1.0.

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

Constructs an exponential distribution with inverse scale parameter $$.

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

Returns the inverse scale parameter of the distribution.

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

Returns the least upper bound value of the distribution.

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.

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

Generating functions.

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

Returns the parameter set of the distribution.

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

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

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

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.