The RandomVariable../ns-2/ranvar.h provides a thin layer of functionality on top of the base random number generator and the default random number stream. It is defined in ~ns/ranvar.h:
class RandomVariable : public TclObject { public: virtual double value() = 0; int command(int argc, const char*const* argv); RandomVariable(); protected: RNG* rng_; };
Classes derived from this abstract class implement specific distributions. Each distribution is parameterized with the values of appropriate parameters. The value method is used to return a value from the distribution.
The currently defined distributions, and their associated parameters are:
UniformRandomVariabletools/ranvar.h | min_, max_ |
ExponentialRandomVariabletools/ranvar.h | avg_ |
ParetoRandomVariabletools/ranvar.h | avg_, shape_ |
ParetoIIRandomVariabletools/ranvar.h | avg_, shape_ |
ConstantRandomVariabletools/ranvar.h | val_ |
HyperExponentialRandomVariabletools/ranvar.h | avg_, cov_ |
NormalRandomVariabletools/ranvar.h | avg_, std_ |
LogNormalRandomVariabletools/ranvar.h | avg_, std_ |
The RandomVariable class is available in OTcl. For instance, to create a random variable that generates number uniformly on [10, 20]:
set u [new RandomVariable/Uniform] $u set min_ 10 $u set max_ 20 $u valueBy default, RandomVariable objects use the default random number generator described in the previous section. The use-rng method can be used to associate a RandomVariable with a non-default RNG:
set rng [new RNG] $rng seed 0 set e [new RandomVariable/Exponential] $e use-rng $rng
Tom Henderson 2014-12-17