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.Process.Random

Description

Tested with: GHC 8.0.1

This module defines helper functions, which are useful to hold the Process computation for a time interval according to some random distribution.

Synopsis

randomUniformProcess :: Double -> Double -> Process Double
randomUniformProcess_ :: Double -> Double -> Process ()
randomUniformIntProcess :: Int -> Int -> Process Int
randomUniformIntProcess_ :: Int -> Int -> Process ()
randomTriangularProcess :: Double -> Double -> Double -> Process Double
randomTriangularProcess_ :: Double -> Double -> Double -> Process ()
randomNormalProcess :: Double -> Double -> Process Double
randomNormalProcess_ :: Double -> Double -> Process ()
randomLogNormalProcess :: Double -> Double -> Process Double
randomLogNormalProcess_ :: Double -> Double -> Process ()
randomExponentialProcess :: Double -> Process Double
randomExponentialProcess_ :: Double -> Process ()
randomErlangProcess :: Double -> Int -> Process Double
randomErlangProcess_ :: Double -> Int -> Process ()
randomPoissonProcess :: Double -> Process Int
randomPoissonProcess_ :: Double -> Process ()
randomBinomialProcess :: Double -> Int -> Process Int
randomBinomialProcess_ :: Double -> Int -> Process ()
randomGammaProcess :: Double -> Double -> Process Double
randomGammaProcess_ :: Double -> Double -> Process ()
randomBetaProcess :: Double -> Double -> Process Double
randomBetaProcess_ :: Double -> Double -> Process ()
randomWeibullProcess :: Double -> Double -> Process Double
randomWeibullProcess_ :: Double -> Double -> Process ()
randomDiscreteProcess :: DiscretePDF Double -> Process Double
randomDiscreteProcess_ :: DiscretePDF Double -> Process ()

Documentation

randomUniformProcess Source #

Arguments

:: Double	the minimum time interval
-> Double	the maximum time interval
-> Process Double	a computation of the time interval for which the process was actually held

Hold the process for a random time interval distributed uniformly.

randomUniformProcess_ Source #

Arguments

:: Double	the minimum time interval
-> Double	the maximum time interval
-> Process ()

Hold the process for a random time interval distributed uniformly.

randomUniformIntProcess Source #

Arguments

:: Int	the minimum time interval
-> Int	the maximum time interval
-> Process Int	a computation of the time interval for which the process was actually held

Hold the process for a random time interval distributed uniformly.

randomUniformIntProcess_ Source #

Arguments

:: Int	the minimum time interval
-> Int	the maximum time interval
-> Process ()

Hold the process for a random time interval distributed uniformly.

randomTriangularProcess Source #

Arguments

:: Double	the minimum time interval
-> Double	a median of the time interval
-> Double	the maximum time interval
-> Process Double	a computation of the time interval for which the process was actually held

Hold the process for a random time interval having the triangular distribution.

randomTriangularProcess_ Source #

Arguments

:: Double	the minimum time interval
-> Double	a median of the time interval
-> Double	the maximum time interval
-> Process ()

Hold the process for a random time interval having the triangular distribution.

randomNormalProcess Source #

Arguments

:: Double	the mean time interval
-> Double	the time interval deviation
-> Process Double	a computation of the time interval for which the process was actually held

Hold the process for a random time interval distributed normally.

randomNormalProcess_ Source #

Arguments

:: Double	the mean time interval
-> Double	the time interval deviation
-> Process ()

Hold the process for a random time interval distributed normally.

randomLogNormalProcess 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
-> Process Double	a computation of the time interval for which the process was actually held

Hold the process for a random time interval having the lognormal distribution.

randomLogNormalProcess_ 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
-> Process ()

Hold the process for a random time interval having the lognormal distribution.

randomExponentialProcess Source #

Arguments

:: Double	the mean time interval (the reciprocal of the rate)
-> Process Double	a computation of the time interval for which the process was actually held

Hold the process for a random time interval distributed exponentially with the specified mean (the reciprocal of the rate).

randomExponentialProcess_ Source #

Arguments

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

Hold the process for a random time interval distributed exponentially with the specified mean (the reciprocal of the rate).

randomErlangProcess Source #

Arguments

:: Double	the scale (the reciprocal of the rate)
-> Int	the shape
-> Process Double	a computation of the time interval for which the process was actually held

Hold the process for a random time interval having the Erlang distribution with the specified scale (the reciprocal of the rate) and shape parameters.

randomErlangProcess_ Source #

Arguments

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

Hold the process for a random time interval having the Erlang distribution with the specified scale (the reciprocal of the rate) and shape parameters.

randomPoissonProcess Source #

Arguments

:: Double	the mean time interval
-> Process Int	a computation of the time interval for which the process was actually held

Hold the process for a random time interval having the Poisson distribution with the specified mean.

randomPoissonProcess_ Source #

Arguments

:: Double	the mean time interval
-> Process ()

Hold the process for a random time interval having the Poisson distribution with the specified mean.

randomBinomialProcess Source #

Arguments

:: Double	the probability
-> Int	the number of trials
-> Process Int	a computation of the time interval for which the process was actually held

Hold the process for a random time interval having the binomial distribution with the specified probability and trials.

randomBinomialProcess_ Source #

Arguments

:: Double	the probability
-> Int	the number of trials
-> Process ()

Hold the process for a random time interval having the binomial distribution with the specified probability and trials.

randomGammaProcess Source #

Arguments

:: Double	the shape
-> Double	the scale (a reciprocal of the rate)
-> Process Double	a computation of the time interval for which the process was actually held

Hold the process for a random time interval having the Gamma distribution with the specified shape and scale.

randomGammaProcess_ Source #

Arguments

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

Hold the process for a random time interval having the Gamma distribution with the specified shape and scale.

randomBetaProcess Source #

Arguments

:: Double	the shape (alpha)
-> Double	the shape (beta)
-> Process Double	a computation of the time interval for which the process was actually held

Hold the process for a random time interval having the Beta distribution with the specified shape parameters (alpha and beta).

randomBetaProcess_ Source #

Arguments

:: Double	the shape (alpha)
-> Double	the shape (beta)
-> Process ()

Hold the process for a random time interval having the Beta distribution with the specified shape parameters (alpha and beta).

randomWeibullProcess Source #

Arguments

:: Double	the shape
-> Double	the scale
-> Process Double	a computation of the time interval for which the process was actually held

Hold the process for a random time interval having the Weibull distribution with the specified shape and scale.

randomWeibullProcess_ Source #

Arguments

:: Double	the shape
-> Double	the scale
-> Process ()

Hold the process for a random time interval having the Weibull distribution with the specified shape and scale.

randomDiscreteProcess Source #

Arguments

:: DiscretePDF Double	the discrete probability density function
-> Process Double	a computation of the time interval for which the process was actually held

Hold the process for a random time interval having the specified discrete distribution.

randomDiscreteProcess_ Source #

Arguments

:: DiscretePDF Double	the discrete probability density function
-> Process ()

Hold the process for a random time interval having the specified discrete distribution.