aivika-4.6: A multi-method simulation library

CopyrightCopyright (c) 2009-2016 David Sorokin <david.sorokin@gmail.com>
LicenseBSD3
MaintainerDavid Sorokin <david.sorokin@gmail.com>
Stabilityexperimental
Safe HaskellNone
LanguageHaskell2010

Simulation.Aivika.Server.Random

Description

Tested with: GHC 8.0.1

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

Synopsis

Documentation

newRandomUniformServer Source #

Arguments

:: Double

the minimum time interval

-> Double

the maximum time interval

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval distributed uniformly, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomUniformIntServer Source #

Arguments

:: Int

the minimum time interval

-> Int

the maximum time interval

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval distributed uniformly, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomTriangularServer Source #

Arguments

:: Double

the minimum time interval

-> Double

the median of the time interval

-> Double

the maximum time interval

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the triangular distribution, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomNormalServer Source #

Arguments

:: Double

the mean time interval

-> Double

the time interval deviation

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval distributed normally, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomLogNormalServer Source #

Arguments

:: 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

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the lognormal distribution, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomExponentialServer Source #

Arguments

:: Double

the mean time interval (the reciprocal of the rate)

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval distributed exponentially with the specified mean (the reciprocal of the rate), when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomErlangServer Source #

Arguments

:: Double

the scale (the reciprocal of the rate)

-> Int

the shape

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the Erlang distribution with the specified scale (the reciprocal of the rate) and shape parameters, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomPoissonServer Source #

Arguments

:: Double

the mean time interval

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the Poisson distribution with the specified mean, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomBinomialServer Source #

Arguments

:: Double

the probability

-> Int

the number of trials

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the binomial distribution with the specified probability and trials, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomGammaServer Source #

Arguments

:: Double

the shape

-> Double

the scale (a reciprocal of the rate)

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the Gamma distribution with the specified shape and scale, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomBetaServer Source #

Arguments

:: Double

shape (alpha)

-> Double

shape (beta)

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the Beta distribution with the specified shape parameters (alpha and beta), when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomWeibullServer Source #

Arguments

:: Double

shape

-> Double

scale

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the Weibull distribution with the specified shape and scale, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newRandomDiscreteServer Source #

Arguments

:: DiscretePDF Double

the discrete probability density function

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the specified discrete distribution, when processing every input element.

By default, it is assumed that the server process cannot be preempted, because the handling of possible task preemption is rather costly operation.

newPreemptibleRandomUniformServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> Double

the minimum time interval

-> Double

the maximum time interval

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval distributed uniformly, when processing every input element.

newPreemptibleRandomUniformIntServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> Int

the minimum time interval

-> Int

the maximum time interval

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval distributed uniformly, when processing every input element.

newPreemptibleRandomTriangularServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> Double

the minimum time interval

-> Double

the median of the time interval

-> Double

the maximum time interval

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the triangular distribution, when processing every input element.

newPreemptibleRandomNormalServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> Double

the mean time interval

-> Double

the time interval deviation

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval distributed normally, when processing every input element.

newPreemptibleRandomLogNormalServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> 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

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the lognormal distribution, when processing every input element.

newPreemptibleRandomExponentialServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> Double

the mean time interval (the reciprocal of the rate)

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval distributed exponentially with the specified mean (the reciprocal of the rate), when processing every input element.

newPreemptibleRandomErlangServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> Double

the scale (the reciprocal of the rate)

-> Int

the shape

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the Erlang distribution with the specified scale (the reciprocal of the rate) and shape parameters, when processing every input element.

newPreemptibleRandomPoissonServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> Double

the mean time interval

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the Poisson distribution with the specified mean, when processing every input element.

newPreemptibleRandomBinomialServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> Double

the probability

-> Int

the number of trials

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the binomial distribution with the specified probability and trials, when processing every input element.

newPreemptibleRandomGammaServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> Double

the shape

-> Double

the scale (a reciprocal of the rate)

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the Gamma distribution with the specified shape and scale, when processing every input element.

newPreemptibleRandomBetaServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> Double

shape (alpha)

-> Double

shape (beta)

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the Beta distribution with the specified shape parameters (alpha and beta), when processing every input element.

newPreemptibleRandomWeibullServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> Double

shape

-> Double

scale

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the Weibull distribution with the specified shape and scale, when processing every input element.

newPreemptibleRandomDiscreteServer Source #

Arguments

:: Bool

whether the server process can be preempted

-> DiscretePDF Double

the discrete probability density function

-> Simulation (Server () a a) 

Create a new server that holds the process for a random time interval having the specified discrete distribution, when processing every input element.