aivika-distributed-1.5.1: Parallel distributed discrete event simulation module for the Aivika library

Copyright	Copyright (c) 2015-2017 David Sorokin <david.sorokin@gmail.com>
License	BSD3
Maintainer	David Sorokin <david.sorokin@gmail.com>
Stability	experimental
Safe Haskell	Safe-Inferred
Language	Haskell2010

Simulation.Aivika.Distributed.Optimistic.Generator

Contents

Orphan instances

Description

Tested with: GHC 7.10.3

Here is defined a random number generator, where DIO is an instance of MonadGenerator.

Orphan instances

MonadGenerator DIO Source #

Instance details

Associated Types

data Generator DIO #

Methods

generateUniform :: Generator DIO -> Double -> Double -> DIO Double #

generateUniformInt :: Generator DIO -> Int -> Int -> DIO Int #

generateTriangular :: Generator DIO -> Double -> Double -> Double -> DIO Double #

generateNormal :: Generator DIO -> Double -> Double -> DIO Double #

generateLogNormal :: Generator DIO -> Double -> Double -> DIO Double #

generateExponential :: Generator DIO -> Double -> DIO Double #

generateErlang :: Generator DIO -> Double -> Int -> DIO Double #

generatePoisson :: Generator DIO -> Double -> DIO Int #

generateBinomial :: Generator DIO -> Double -> Int -> DIO Int #

generateGamma :: Generator DIO -> Double -> Double -> DIO Double #

generateBeta :: Generator DIO -> Double -> Double -> DIO Double #

generateWeibull :: Generator DIO -> Double -> Double -> DIO Double #

generateDiscrete :: Generator DIO -> DiscretePDF a -> DIO a #

generateSequenceNo :: Generator DIO -> DIO Int #

newGenerator :: GeneratorType DIO -> DIO (Generator DIO) #

newRandomGenerator :: RandomGen g => g -> DIO (Generator DIO) #

newRandomGenerator01 :: DIO Double -> DIO (Generator DIO) #