mwc-random: Fast, high quality pseudo random number generation
|Versions||0.4.1, 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, 0.13.4.0, 0.13.5.0, 0.13.6.0|
|Dependencies||base (<5), primitive (<0.6), time, vector (>=0.7) [details]|
|Copyright||2009, 2010, 2011 Bryan O'Sullivan|
|Author||Bryan O'Sullivan <firstname.lastname@example.org>|
|Maintainer||Bryan O'Sullivan <email@example.com>|
|Revised||Revision 1 made by AlexeyKhudyakov at Mon Apr 6 16:48:22 UTC 2015|
|Source repo||head: git clone git://github.com/bos/mwc-random
head: hg clone https://bitbucket.org/bos/mwc-random
|Uploaded||by BryanOSullivan at Tue Sep 10 20:50:31 UTC 2013|
|Distributions||Arch:0.13.6.0, Debian:0.13.3.2, Fedora:0.13.6.0, FreeBSD:0.13.3.2, LTSHaskell:0.13.6.0, NixOS:0.13.6.0, Stackage:0.13.6.0, openSUSE:0.13.6.0|
|Downloads||95138 total (327 in the last 30 days)|
|Rating||2.0 (votes: 1) [estimated by rule of succession]|
|Status||Docs uploaded by user
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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.
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