| Copyright | Copyright (c) 2009-2015, David Sorokin <david.sorokin@gmail.com> |
|---|---|
| License | BSD3 |
| Maintainer | David Sorokin <david.sorokin@gmail.com> |
| Stability | experimental |
| Safe Haskell | None |
| Language | Haskell2010 |
Simulation.Aivika.Net.Random
Description
Tested with: GHC 7.10.1
This module defines some useful random network computations that hold the current process for the corresponding time interval, when processing every input element.
- randomUniformNet :: Double -> Double -> Net a a
- randomUniformIntNet :: Int -> Int -> Net a a
- randomNormalNet :: Double -> Double -> Net a a
- randomExponentialNet :: Double -> Net a a
- randomErlangNet :: Double -> Int -> Net a a
- randomPoissonNet :: Double -> Net a a
- randomBinomialNet :: Double -> Int -> Net a a
Documentation
When processing every input element, hold the process for a random time interval distributed uniformly.
When processing every input element, hold the process for a random time interval distributed uniformly.
When processing every input element, hold the process for a random time interval distributed normally.
When processing every input element, hold the process for a random time interval distributed exponentially with the specified mean (the reciprocal of the rate).
When processing every input element, hold the process for a random time interval having the Erlang distribution with the specified scale (the reciprocal of the rate) and shape parameters.
When processing every input element, hold the process for a random time interval having the Poisson distribution with the specified mean.
When processing every input element, hold the process for a random time interval having the binomial distribution with the specified probability and trials.