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.Server.Random
Description
Tested with: GHC 7.10.1
This module defines some useful predefined servers that hold the current process for the corresponding random time interval, when processing every input element.
- newRandomUniformServer :: MonadDES m => Double -> Double -> Simulation m (Server m () a a)
- newRandomUniformIntServer :: MonadDES m => Int -> Int -> Simulation m (Server m () a a)
- newRandomTriangularServer :: MonadDES m => Double -> Double -> Double -> Simulation m (Server m () a a)
- newRandomNormalServer :: MonadDES m => Double -> Double -> Simulation m (Server m () a a)
- newRandomLogNormalServer :: MonadDES m => Double -> Double -> Simulation m (Server m () a a)
- newRandomExponentialServer :: MonadDES m => Double -> Simulation m (Server m () a a)
- newRandomErlangServer :: MonadDES m => Double -> Int -> Simulation m (Server m () a a)
- newRandomPoissonServer :: MonadDES m => Double -> Simulation m (Server m () a a)
- newRandomBinomialServer :: MonadDES m => Double -> Int -> Simulation m (Server m () a a)
- newRandomGammaServer :: MonadDES m => Double -> Double -> Simulation m (Server m () a a)
- newRandomBetaServer :: MonadDES m => Double -> Double -> Simulation m (Server m () a a)
- newRandomWeibullServer :: MonadDES m => Double -> Double -> Simulation m (Server m () a a)
- newRandomDiscreteServer :: MonadDES m => DiscretePDF Double -> Simulation m (Server m () a a)
- newPreemptibleRandomUniformServer :: MonadDES m => Bool -> Double -> Double -> Simulation m (Server m () a a)
- newPreemptibleRandomUniformIntServer :: MonadDES m => Bool -> Int -> Int -> Simulation m (Server m () a a)
- newPreemptibleRandomTriangularServer :: MonadDES m => Bool -> Double -> Double -> Double -> Simulation m (Server m () a a)
- newPreemptibleRandomNormalServer :: MonadDES m => Bool -> Double -> Double -> Simulation m (Server m () a a)
- newPreemptibleRandomLogNormalServer :: MonadDES m => Bool -> Double -> Double -> Simulation m (Server m () a a)
- newPreemptibleRandomExponentialServer :: MonadDES m => Bool -> Double -> Simulation m (Server m () a a)
- newPreemptibleRandomErlangServer :: MonadDES m => Bool -> Double -> Int -> Simulation m (Server m () a a)
- newPreemptibleRandomPoissonServer :: MonadDES m => Bool -> Double -> Simulation m (Server m () a a)
- newPreemptibleRandomBinomialServer :: MonadDES m => Bool -> Double -> Int -> Simulation m (Server m () a a)
- newPreemptibleRandomGammaServer :: MonadDES m => Bool -> Double -> Double -> Simulation m (Server m () a a)
- newPreemptibleRandomBetaServer :: MonadDES m => Bool -> Double -> Double -> Simulation m (Server m () a a)
- newPreemptibleRandomWeibullServer :: MonadDES m => Bool -> Double -> Double -> Simulation m (Server m () a a)
- newPreemptibleRandomDiscreteServer :: MonadDES m => Bool -> DiscretePDF Double -> Simulation m (Server m () a a)
Documentation
Arguments
:: MonadDES m | |
=> Double | the minimum time interval |
-> Double | the maximum time interval |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Int | the minimum time interval |
-> Int | the maximum time interval |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Double | the minimum time interval |
-> Double | the median of the time interval |
-> Double | the maximum time interval |
-> Simulation m (Server m () 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.
Arguments
:: MonadDES m | |
=> Double | the mean time interval |
-> Double | the time interval deviation |
-> Simulation m (Server m () 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
:: 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 |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Double | the mean time interval (the reciprocal of the rate) |
-> Simulation m (Server m () 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.
Arguments
:: MonadDES m | |
=> Double | the scale (the reciprocal of the rate) |
-> Int | the shape |
-> Simulation m (Server m () 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.
Arguments
:: MonadDES m | |
=> Double | the mean time interval |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Double | the probability |
-> Int | the number of trials |
-> Simulation m (Server m () 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.
Arguments
:: MonadDES m | |
=> Double | the shape |
-> Double | the scale (a reciprocal of the rate) |
-> Simulation m (Server m () 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.
Arguments
:: MonadDES m | |
=> Double | shape (alpha) |
-> Double | shape (beta) |
-> Simulation m (Server m () 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.
Arguments
:: MonadDES m | |
=> Double | shape |
-> Double | scale |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> DiscretePDF Double | the discrete probability density function |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Bool | whether the server process can be preempted |
-> Double | the minimum time interval |
-> Double | the maximum time interval |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Bool | whether the server process can be preempted |
-> Int | the minimum time interval |
-> Int | the maximum time interval |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> 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 m (Server m () 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
:: MonadDES m | |
=> Bool | whether the server process can be preempted |
-> Double | the mean time interval |
-> Double | the time interval deviation |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> 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 m (Server m () 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
:: MonadDES m | |
=> Bool | whether the server process can be preempted |
-> Double | the mean time interval (the reciprocal of the rate) |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Bool | whether the server process can be preempted |
-> Double | the scale (the reciprocal of the rate) |
-> Int | the shape |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Bool | whether the server process can be preempted |
-> Double | the mean time interval |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Bool | whether the server process can be preempted |
-> Double | the probability |
-> Int | the number of trials |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Bool | whether the server process can be preempted |
-> Double | the shape |
-> Double | the scale (a reciprocal of the rate) |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Bool | whether the server process can be preempted |
-> Double | shape (alpha) |
-> Double | shape (beta) |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Bool | whether the server process can be preempted |
-> Double | shape |
-> Double | scale |
-> Simulation m (Server m () 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
:: MonadDES m | |
=> Bool | whether the server process can be preempted |
-> DiscretePDF Double | the discrete probability density function |
-> Simulation m (Server m () 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.