Copyright	Copyright (c) 2009-2017 David Sorokin <david.sorokin@gmail.com>
License	BSD3
Maintainer	David Sorokin <david.sorokin@gmail.com>
Stability	experimental
Safe Haskell	Safe-Inferred
Language	Haskell2010

Simulation.Aivika.Processor.Random

Description

Tested with: GHC 8.0.1

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

Synopsis

randomUniformProcessor :: Double -> Double -> Processor a a
randomUniformIntProcessor :: Int -> Int -> Processor a a
randomTriangularProcessor :: Double -> Double -> Double -> Processor a a
randomNormalProcessor :: Double -> Double -> Processor a a
randomLogNormalProcessor :: Double -> Double -> Processor a a
randomExponentialProcessor :: Double -> Processor a a
randomErlangProcessor :: Double -> Int -> Processor a a
randomPoissonProcessor :: Double -> Processor a a
randomBinomialProcessor :: Double -> Int -> Processor a a
randomGammaProcessor :: Double -> Double -> Processor a a
randomBetaProcessor :: Double -> Double -> Processor a a
randomWeibullProcessor :: Double -> Double -> Processor a a
randomDiscreteProcessor :: DiscretePDF Double -> Processor a a

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.

randomTriangularProcessor Source #

Arguments

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

When processing every input element, hold the process for a random time interval having the triangular distribution.

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.

randomLogNormalProcessor Source #

Arguments

:: Double	the mean for a normal distribution which this distribution is derived from
-> Double	the deviation for a normal distribution which this distribution is derived from
-> Processor a a

When processing every input element, hold the process for a random time interval having the lognormal distribution.

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.

randomGammaProcessor Source #

Arguments

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

When processing every input element, hold the process for a random time interval having the Gamma distribution with the specified shape and scale.

randomBetaProcessor Source #

Arguments

:: Double	shape (alpha)
-> Double	shape (beta)
-> Processor a a

When processing every input element, hold the process for a random time interval having the Beta distribution with the specified shape parameters (alpha and beta).

randomWeibullProcessor Source #

Arguments

:: Double	shape
-> Double	scale
-> Processor a a

When processing every input element, hold the process for a random time interval having the Weibull distribution with the specified shape and scale.

randomDiscreteProcessor Source #

Arguments

:: DiscretePDF Double	the discrete probability density function
-> Processor a a

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