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.Processor.Random

Description

Tested with: GHC 7.8.3

This module defines some useful random processors that hold the current process for the corresponding time interval, when processing every input element.

Synopsis

Documentation

randomUniformProcessor Source

Arguments

:: Double	the minimum time interval
-> Double	the maximum time interval
-> Processor a a

When processing every input element, hold the process for a random time interval distributed uniformly.

randomUniformIntProcessor Source

Arguments

:: Int	the minimum time interval
-> Int	the maximum time interval
-> Processor a a

When processing every input element, hold the process for a random time interval distributed uniformly.

randomNormalProcessor Source

Arguments

:: Double	the mean time interval
-> Double	the time interval deviation
-> Processor a a

When processing every input element, hold the process for a random time interval distributed normally.

randomExponentialProcessor Source

Arguments

:: Double	the mean time interval (the reciprocal of the rate)
-> Processor a a

When processing every input element, hold the process for a random time interval distributed exponentially with the specified mean (the reciprocal of the rate).

randomErlangProcessor Source

Arguments

:: Double	the scale (the reciprocal of the rate)
-> Int	the shape
-> Processor a a

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.

randomPoissonProcessor Source

Arguments

:: Double	the mean time interval
-> Processor a a

When processing every input element, hold the process for a random time interval having the Poisson distribution with the specified mean.

randomBinomialProcessor Source

Arguments

:: Double	the probability
-> Int	the number of trials
-> Processor a a

When processing every input element, hold the process for a random time interval having the binomial distribution with the specified probability and trials.