| Stability | experimental |
|---|---|
| Maintainer | David Sorokin <david.sorokin@gmail.com> |
| Safe Haskell | Safe-Inferred |
Simulation.Aivika.Dynamics.Random
Description
Tested with: GHC 7.6.3
This module defines the random parameters of simulation experiments.
- memoRandomUniformDynamics :: Dynamics Double -> Dynamics Double -> Simulation (Dynamics Double)
- memoRandomNormalDynamics :: Dynamics Double -> Dynamics Double -> Simulation (Dynamics Double)
- memoRandomExponentialDynamics :: Dynamics Double -> Simulation (Dynamics Double)
- memoRandomErlangDynamics :: Dynamics Double -> Dynamics Int -> Simulation (Dynamics Double)
- memoRandomPoissonDynamics :: Dynamics Double -> Simulation (Dynamics Int)
- memoRandomBinomialDynamics :: Dynamics Double -> Dynamics Int -> Simulation (Dynamics Int)
Documentation
memoRandomUniformDynamicsSource
Computation that generates random numbers distributed uniformly and memoizes them in the integration time points.
memoRandomNormalDynamicsSource
Computation that generates random numbers distributed normally and memoizes them in the integration time points.
memoRandomExponentialDynamicsSource
Arguments
| :: Dynamics Double | the mean (the reciprocal of the rate) |
| -> Simulation (Dynamics Double) |
Computation that generates exponential random numbers with the specified mean (the reciprocal of the rate) and memoizes them in the integration time points.
memoRandomErlangDynamicsSource
Arguments
| :: Dynamics Double | the scale (the reciprocal of the rate) |
| -> Dynamics Int | the shape |
| -> Simulation (Dynamics Double) |
Computation that generates the Erlang random numbers with the specified scale (the reciprocal of the rate) and integer shape but memoizes them in the integration time points.
memoRandomPoissonDynamicsSource
Arguments
| :: Dynamics Double | the mean |
| -> Simulation (Dynamics Int) |
Computation that generats the Poisson random numbers with the specified mean and memoizes them in the integration time points.
memoRandomBinomialDynamicsSource
Arguments
| :: Dynamics Double | the probability |
| -> Dynamics Int | the number of trials |
| -> Simulation (Dynamics Int) |
Computation that generates binomial random numbers with the specified probability and trials but memoizes them in the integration time points.