The mwc-random package

[Tags: bsd3, library]

This package contains code for generating high quality random numbers that follow either a uniform or normal distribution. The generated numbers are suitable for use in statistical applications.

The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222) multiply-with-carry generator, which has a period of 2^8222 and fares well in tests of randomness. It is also extremely fast, between 2 and 3 times faster than the Mersenne Twister.

Compared to the mersenne-random package, this package has a more convenient API, is faster, and supports more statistical distributions.


[Skip to ReadMe]

Properties

Versions0.4.1, 0.4.1.1, 0.5.0.0, 0.5.1.1, 0.5.1.2, 0.5.1.3, 0.5.1.4, 0.6.0.0, 0.7.0.0, 0.7.0.1, 0.8.0.0, 0.8.0.1, 0.8.0.2, 0.8.0.3, 0.8.0.5, 0.9.0.0, 0.10.0.0, 0.10.0.1, 0.11.0.0, 0.12.0.0, 0.12.0.1, 0.13.0.0, 0.13.1.0, 0.13.1.1, 0.13.1.2, 0.13.2.0, 0.13.2.2, 0.13.3.0, 0.13.3.1, 0.13.3.2
Change logChangeLog
Dependenciesbase (<5), primitive (<0.6), time, vector (>=0.7) [details]
LicenseBSD3
Copyright2009, 2010, 2011 Bryan O'Sullivan
AuthorBryan O'Sullivan <bos@serpentine.com>
MaintainerBryan O'Sullivan <bos@serpentine.com>
CategoryMath, Statistics
Home pagehttps://github.com/bos/mwc-random
Bug trackerhttps://github.com/bos/mwc-random/issues
Source repositoryhead: git clone git://github.com/bos/mwc-random
head: hg clone https://bitbucket.org/bos/mwc-random
UploadedThu Oct 10 20:10:28 UTC 2013 by AlexeyKhudyakov
UpdatedMon Apr 6 16:48:29 UTC 2015 by AlexeyKhudyakov to revision 1
DistributionsDebian:0.13.3.2, Fedora:0.13.3.0, FreeBSD:0.13.1.2, LTSHaskell:0.13.3.2, NixOS:0.13.3.2, Stackage:0.13.3.2
Downloads59201 total (798 in last 30 days)
Votes
0 []
StatusDocs available [build log]
Successful builds reported [all 1 reports]

Modules

[Index]

Downloads

Maintainers' corner

For package maintainers and hackage trustees

Readme for mwc-random-0.13.1.0

Efficient, general purpose pseudo-random number generation

This package provides the System.Random.MWC module, a Haskell library for generating high-quality pseudo-random numbers in a space- and time-efficient way.

Get involved!

Please report bugs via the github issue tracker.

Master git git repository:

There's also a Mercurial mirror:

(You can create and contribute changes using either Mercurial or git.)

Authors

This library is written and maintained by Bryan O'Sullivan, bos@serpentine.com.