Copyright	Copyright (c) 2009-2013, David Sorokin <david.sorokin@gmail.com>
License	BSD3
Maintainer	David Sorokin <david.sorokin@gmail.com>
Stability	experimental
Safe Haskell	Safe-Inferred
Language	Haskell98

Simulation.Aivika.Dynamics.Random

Description

Tested with: GHC 7.6.3

This module defines the random parameters of simulation experiments.

Synopsis

Documentation

memoRandomUniformDynamics Source

Arguments

:: Dynamics Double	minimum
-> Dynamics Double	maximum
-> Simulation (Dynamics Double)

Computation that generates random numbers distributed uniformly and memoizes them in the integration time points.

memoRandomNormalDynamics Source

Arguments

:: Dynamics Double	mean
-> Dynamics Double	deviation
-> Simulation (Dynamics Double)

Computation that generates random numbers distributed normally and memoizes them in the integration time points.

memoRandomExponentialDynamics Source

Arguments

:: Dynamics Double	the mean (the reciprocal of the rate)
-> Simulation (Dynamics Double)

Computation that generates exponential random numbers with the specified mean (the reciprocal of the rate) and memoizes them in the integration time points.

memoRandomErlangDynamics Source

Arguments

:: Dynamics Double	the scale (the reciprocal of the rate)
-> Dynamics Int	the shape
-> Simulation (Dynamics Double)

Computation that generates the Erlang random numbers with the specified scale (the reciprocal of the rate) and integer shape but memoizes them in the integration time points.

memoRandomPoissonDynamics Source

Arguments

:: Dynamics Double	the mean
-> Simulation (Dynamics Int)

Computation that generats the Poisson random numbers with the specified mean and memoizes them in the integration time points.

memoRandomBinomialDynamics Source

Arguments

:: Dynamics Double	the probability
-> Dynamics Int	the number of trials
-> Simulation (Dynamics Int)

Computation that generates binomial random numbers with the specified probability and trials but memoizes them in the integration time points.