| LibRan
    0.1
    Pseudo-random number distribution generator | 
The negative-exponential distribution has mean m and deviation m. More...

Go to the source code of this file.
| Functions | |
| double | LRd_nexp_RAN (LR_obj *o) | 
| LRd_nexp_RAN(LR_obj *o) - double random negative exponential distribution using the inversion method. Default values: peak m = 1.  More... | |
| double | LRd_nexp_PDF (LR_obj *o, double x) | 
| LRd_nexp_PDF(LR_obj *o, double x) - double negative exponential probablity distribution function.  More... | |
| double | LRd_nexp_CDF (LR_obj *o, double x) | 
| LRd_nexp_CDF(LR_obj *o, double x) - double negative exponential cumulative distribution function.  More... | |
| float | LRf_nexp_RAN (LR_obj *o) | 
| LRf_nexp_RAN(LR_obj *o) - float random negative exponential distribution using the inversion method. Default values: peak m = 1.  More... | |
| float | LRf_nexp_PDF (LR_obj *o, float x) | 
| LRf_nexp_PDF(LR_obj *o, float x) - float negative exponential probablity distribution function.  More... | |
| float | LRf_nexp_CDF (LR_obj *o, float x) | 
| LRf_nexp_CDF(LR_obj *o, float x) - float negative exponential cumulative distribution function.  More... | |
The negative-exponential distribution has mean m and deviation m.
The pseudo-random numbers are distributed from a negative exponential distribution. It's only defined on interval  and zero otherwise. This distribution typically represents the time between events of a Poisson point process, i.e. a process in which events occur continuously and independently at a constant average rate.
 and zero otherwise. This distribution typically represents the time between events of a Poisson point process, i.e. a process in which events occur continuously and independently at a constant average rate.
 
The default is  and s will be set to
 and s will be set to  for calculation efficiency. Do not set s when declaring this distribution.
 for calculation efficiency. Do not set s when declaring this distribution. 
Definition in file LRnexp.c.
| double LRd_nexp_CDF | ( | LR_obj * | o, | 
| double | x | ||
| ) | 
LRd_nexp_CDF(LR_obj *o, double x) - double negative exponential cumulative distribution function.
| o | LR_obj object | 
| x | value | 
| double LRd_nexp_PDF | ( | LR_obj * | o, | 
| double | x | ||
| ) | 
LRd_nexp_PDF(LR_obj *o, double x) - double negative exponential probablity distribution function.
| o | LR_obj object | 
| x | value | 
| double LRd_nexp_RAN | ( | LR_obj * | o | ) | 
LRd_nexp_RAN(LR_obj *o) - double random negative exponential distribution using the inversion method. Default values: peak m = 1.
| o | LR_obj object | 
| float LRf_nexp_CDF | ( | LR_obj * | o, | 
| float | x | ||
| ) | 
LRf_nexp_CDF(LR_obj *o, float x) - float negative exponential cumulative distribution function.
| o | LR_obj object | 
| x | value | 
| float LRf_nexp_PDF | ( | LR_obj * | o, | 
| float | x | ||
| ) | 
LRf_nexp_PDF(LR_obj *o, float x) - float negative exponential probablity distribution function.
| o | LR_obj object | 
| x | value | 
| float LRf_nexp_RAN | ( | LR_obj * | o | ) | 
LRf_nexp_RAN(LR_obj *o) - float random negative exponential distribution using the inversion method. Default values: peak m = 1.
| o | LR_obj object | 
 1.8.13
 1.8.13