| 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.Process.Random
Description
Tested with: GHC 7.10.1
This module defines helper functions, which are useful to hold
the Process computation for a time interval according to some
random distribution.
- 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
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.
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
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.
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.
Hold the process for a random time interval distributed normally.
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
Hold the process for a random time interval distributed exponentially with the specified mean (the reciprocal of the rate).
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.
Hold the process for a random time interval having the Erlang distribution with the specified scale (the reciprocal of the rate) and shape parameters.
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.
Hold the process for a random time interval having the Poisson distribution with the specified mean.
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.
Hold the process for a random time interval having the binomial distribution with the specified probability and trials.
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.
Hold the process for a random time interval having the Gamma distribution with the specified shape and scale.
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).
Hold the process for a random time interval having the Beta distribution with the specified shape parameters (alpha and beta).
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.
Hold the process for a random time interval having the Weibull distribution with the specified shape and scale.
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.
Arguments
| :: DiscretePDF Double | the discrete probability density function |
| -> Process () |
Hold the process for a random time interval having the specified discrete distribution.