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.Parameter.Random

Description

Tested with: GHC 7.10.1

This module defines the random parameters of simulation experiments.

To create a parameter that would return the same value within the simulation run, you should memoize the computation with help of memoParameter, which is important for the Monte-Carlo simulation.

To create a random function that would return the same values in the integration time points within the simulation run, you should either lift the computation to the Dynamics computation and then memoize it too but using the memo0Dynamics function for that computation, or just take the predefined function that does namely this.

Synopsis

Documentation

randomUniform Source

Arguments

:: Double	minimum
-> Double	maximum
-> Parameter Double

Computation that generates a new random number distributed uniformly.

randomUniformInt Source

Arguments

:: Int	minimum
-> Int	maximum
-> Parameter Int

Computation that generates a new random integer number distributed uniformly.

randomTriangular Source

Arguments

:: Double	minimum
-> Double	median
-> Double	maximum
-> Parameter Double

Computation that generates a new random number from the triangular distribution.

randomNormal Source

Arguments

:: Double	mean
-> Double	deviation
-> Parameter Double

Computation that generates a new random number distributed normally.

randomLogNormal 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
-> Parameter Double

Computation that generates a new random number from the lognormal distribution.

randomExponential Source

Arguments

:: Double	the mean (the reciprocal of the rate)
-> Parameter Double

Computation that returns a new exponential random number with the specified mean (the reciprocal of the rate).

randomErlang Source

Arguments

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

Computation that returns a new Erlang random number with the specified scale (the reciprocal of the rate) and integer shape.

randomPoisson Source

Arguments

:: Double	the mean
-> Parameter Int

Computation that returns a new Poisson random number with the specified mean.

randomBinomial Source

Arguments

:: Double	the probability
-> Int	the number of trials
-> Parameter Int

Computation that returns a new binomial random number with the specified probability and trials.

randomGamma Source

Arguments

:: Double	the shape
-> Double	the scale (a reciprocal of the rate)
-> Parameter Double

Computation that returns a new random number from the Gamma distribution.

randomBeta Source

Arguments

:: Double	the shape (alpha)
-> Double	the shape (beta)
-> Parameter Double

Computation that returns a new random number from the Beta distribution.

randomWeibull Source

Arguments

:: Double	shape
-> Double	scale
-> Parameter Double

Computation that returns a new random number from the Weibull distribution.

randomDiscrete :: DiscretePDF a -> Parameter a Source

Computation that returns a new random value from the specified discrete distribution.

randomTrue Source

Arguments

:: Double	the probability of the success
-> Parameter Bool

Computation that returns True in case of success.

randomFalse Source

Arguments

:: Double	the probability of the success
-> Parameter Bool

Computation that returns False in case of success.