Simulation.Aivika.Trans.Processor.Random

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.

Documentation

randomUniformProcessor

Arguments

:: MonadDES m

=> Double

the minimum time interval

-> Double

the maximum time interval

-> Processor m a a

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

randomUniformIntProcessor

Arguments

:: MonadDES m

=> Int

the minimum time interval

-> Int

the maximum time interval

-> Processor m a a

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

randomTriangularProcessor

Arguments

:: MonadDES m

=> Double

the minimum time interval

-> Double

the median of the time interval

-> Double

the maximum time interval

-> Processor m a a

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

randomNormalProcessor

Arguments

:: MonadDES m

=> Double

the mean time interval

-> Double

the time interval deviation

-> Processor m a a

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

randomLogNormalProcessor

Arguments

:: MonadDES m

=> 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 m a a

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

randomExponentialProcessor

Arguments

:: MonadDES m

=> Double

the mean time interval (the reciprocal of the rate)

-> Processor 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).

randomErlangProcessor

Arguments

:: MonadDES m

=> Double

the scale (the reciprocal of the rate)

-> Int

the shape

-> Processor 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.

randomPoissonProcessor

Arguments

:: MonadDES m

=> Double

the mean time interval

-> Processor m a a

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

randomBinomialProcessor

Arguments

:: MonadDES m

=> Double

the probability

-> Int

the number of trials

-> Processor 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.

randomGammaProcessor

Arguments

:: MonadDES m

=> Double

the shape

-> Double

the scale (a reciprocal of the rate)

-> Processor 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.

randomBetaProcessor

Arguments

:: MonadDES m

=> Double

shape (alpha)

-> Double

shape (beta)

-> Processor 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).

randomWeibullProcessor

Arguments

:: MonadDES m

=> Double

shape

-> Double

scale

-> Processor 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.

randomDiscreteProcessor

Arguments

:: MonadDES m

=> DiscretePDF Double

the discrete probability density function

-> Processor m a a

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