aivika-transformers-6.1.1: Transformers for the Aivika simulation library

Copyright	Copyright (c) 2009-2017 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.IO.Generator

Contents

Orphan instances

Description

Tested with: GHC 8.0.1

Here is defined a random number generator, where the IO monad is an instance of MonadGenerator.

Orphan instances

MonadGenerator IO Source #

Instance details

Associated Types

data Generator IO Source #

Methods

generateUniform :: Generator IO -> Double -> Double -> IO Double Source #

generateUniformInt :: Generator IO -> Int -> Int -> IO Int Source #

generateTriangular :: Generator IO -> Double -> Double -> Double -> IO Double Source #

generateNormal :: Generator IO -> Double -> Double -> IO Double Source #

generateLogNormal :: Generator IO -> Double -> Double -> IO Double Source #

generateExponential :: Generator IO -> Double -> IO Double Source #

generateErlang :: Generator IO -> Double -> Int -> IO Double Source #

generatePoisson :: Generator IO -> Double -> IO Int Source #

generateBinomial :: Generator IO -> Double -> Int -> IO Int Source #

generateGamma :: Generator IO -> Double -> Double -> IO Double Source #

generateBeta :: Generator IO -> Double -> Double -> IO Double Source #

generateWeibull :: Generator IO -> Double -> Double -> IO Double Source #

generateDiscrete :: Generator IO -> DiscretePDF a -> IO a Source #

generateSequenceNo :: Generator IO -> IO Int Source #

newGenerator :: GeneratorType IO -> IO (Generator IO) Source #

newRandomGenerator :: RandomGen g => g -> IO (Generator IO) Source #

newRandomGenerator01 :: IO Double -> IO (Generator IO) Source #