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.Trans.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.

Synopsis

Documentation

randomUniformNet Source

Arguments

:: MonadDES m
=> Double	the minimum time interval
-> Double	the maximum time interval
-> Net m a a

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

randomUniformIntNet Source

Arguments

:: MonadDES m
=> Int	the minimum time interval
-> Int	the maximum time interval
-> Net m a a

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

randomTriangularNet Source

Arguments

:: MonadDES m
=> Double	the minimum time interval
-> Double	the median of the time interval
-> Double	the maximum time interval
-> Net m a a

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

randomNormalNet Source

Arguments

:: MonadDES m
=> Double	the mean time interval
-> Double	the time interval deviation
-> Net m a a

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

randomLogNormalNet Source

Arguments

:: MonadDES m
=> Double	the mean of a normal distribution which this distribution is derived from
-> Double	the deviation of a normal distribution which this distribution is derived from
-> Net m a a

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

randomExponentialNet Source

Arguments

:: MonadDES m
=> Double	the mean time interval (the reciprocal of the rate)
-> Net m 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).

randomErlangNet Source

Arguments

:: MonadDES m
=> Double	the scale (the reciprocal of the rate)
-> Int	the shape
-> Net m 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.

randomPoissonNet Source

Arguments

:: MonadDES m
=> Double	the mean time interval
-> Net m a a

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

randomBinomialNet Source

Arguments

:: MonadDES m
=> Double	the probability
-> Int	the number of trials
-> Net m 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.

randomGammaNet Source

Arguments

:: MonadDES m
=> Double	the shape
-> Double	the scale (a reciprocal of the rate)
-> Net m 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.

randomBetaNet Source

Arguments

:: MonadDES m
=> Double	shape (alpha)
-> Double	shape (beta)
-> Net m 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).

randomWeibullNet Source

Arguments

:: MonadDES m
=> Double	shape
-> Double	scale
-> Net m 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.

randomDiscreteNet Source

Arguments

:: MonadDES m
=> DiscretePDF Double	the discrete probability density function
-> Net m a a

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