exponential distribution¶

group turbo_random_exponential

Functions

template<typename RealType, typename URBG> RealType exponential(URBG &&urbg, RealType lambda = 1)¶

turbo::exponential<T>(bitgen, lambda = 1) turbo::exponential produces a floating point number representing the distance (time) between two consecutive events in a point process of events occurring continuously and independently at a constant average rate.

T must be a floating point type, but may be inferred from the type of lambda. See https://en.wikipedia.org/wiki/Exponential_distribution.

Example:

cpp
      turbo::BitGen bitgen;
      ...
      double call_length = turbo::exponential(bitgen, 7.0);

Template Parameters:

RealType –
URBG –

Parameters:

urbg –
lambda –

Returns:

RealType

template<typename RealType> RealType exponential(RealType lambda = 1)¶

similar to turbo::exponential<T>(bitgen, lambda = 1) but use the default bitgen

Template Parameters:: RealType –
Parameters:: lambda –
Returns:: RealType

template<typename RealType> RealType fast_exponential(RealType lambda = 1)¶

similar to turbo::exponential<T>(bitgen, lambda = 1) but use the fast bitgen

Template Parameters:: RealType –
Parameters:: lambda –
Returns:: RealType

template<typename RealType = double> class exponential_distribution¶

#include <exponential_distribution.h>

turbo::exponential_distribution<T> generates a number conforming to an exponential distribution and is equivalent to the standard [rand.dist.pois.exp] distribution.

See https://en.wikipedia.org/wiki/Exponential_distribution. Example:

cpp
      turbo::BitGen bitgen;
      ...
      double call_length = turbo::exponential(bitgen, 7.0);

Template Parameters:: RealType –

class param_type¶