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adevs
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#include <adevs_rand.h>
Public Member Functions | |
| rv (unsigned long seed=1) | |
| Create a random variable with the default implementation. | |
| rv (random_seq *rand) | |
| rv (const rv &src) | |
| Copy constructor relies on copy method of underlying stream. | |
| const rv & | operator= (const rv &src) |
| Assignment operator relies on copy method of underlying stream. | |
| void | set_seed (unsigned long seed) |
| See the random number generator implementation. | |
| unsigned long | next_long () |
| Get a raw value from the underlying random number generator. | |
| double | triangular (double a, double b, double c) |
| double | uniform (double a, double b) |
| Sample a uniform distribution in the range [a, b]. | |
| double | normal (double m, double s) |
| double | exponential (double a) |
| double | hyperexponential (double p, double a, double b) |
| double | laplace (double a) |
| double | chisquare (unsigned int n) |
| double | student (unsigned int n) |
| double | lognormal (double a, double b) |
| double | erlang (unsigned int n, double a) |
| double | gamma (double a, double b) |
| double | beta (double a, double b) |
| double | fdistribution (unsigned int n, unsigned int m) |
| double | poisson (double a) |
| double | geometric (double p) |
| double | hypergeometric (unsigned int m, unsigned int n, double p) |
| double | weibull (double a, double b) |
| double | binomial (double p, unsigned int n) |
| double | negativebinomial (double p, unsigned int n) |
| double | triangular (double a) |
| int | probability (double p) |
| double | lngamma (double xx) |
| ~rv () | |
| Destructor. | |
The rv class provides a random variable based on a selectable implementation. By default, this implementation is crand.
| adevs::rv::rv | ( | random_seq * | rand | ) |
Create a random variable with the desired implementation. The implementation class is adopted by the rv.
| double adevs::rv::exponential | ( | double | a | ) |
An assortment of other random variable types contributed by Alex Cave (who, at the time, was with the Intelligent Systems Automation Group in the School of Engineering at Deakin University).
| double adevs::rv::normal | ( | double | m, |
| double | s | ||
| ) |
Sample a normally distributed random variable with mean m and standard deviation s.
| double adevs::rv::triangular | ( | double | a, |
| double | b, | ||
| double | c | ||
| ) |
Sample a triangular distribution with minimum a, maximum b, and mode c.
1.8.6