Xorshift RNGs

Xorshift RNGs

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Description of a class of simple, extremely fast random number generators (RNGs) with periods 2k - 1 for k = 32, 64, 96, 128, 160, 192. These RNGs seem to pass tests of randomness very well.

Bibliographic Details
Main Author: George Marsaglia
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2003-07-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/index.php/jss/article/view/2312
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spelling doaj-4a94ad4e18a04cf38fb63ed24a0484ff2020-11-24T20:47:56ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602003-07-01811610.18637/jss.v008.i14916Xorshift RNGsGeorge MarsagliaDescription of a class of simple, extremely fast random number generators (RNGs) with periods 2k - 1 for k = 32, 64, 96, 128, 160, 192. These RNGs seem to pass tests of randomness very well.http://www.jstatsoft.org/index.php/jss/article/view/2312
collection DOAJ
language English
format Article
sources DOAJ
author George Marsaglia
spellingShingle George Marsaglia
Xorshift RNGs
Journal of Statistical Software
author_facet George Marsaglia
author_sort George Marsaglia
title Xorshift RNGs
title_short Xorshift RNGs
title_full Xorshift RNGs
title_fullStr Xorshift RNGs
title_full_unstemmed Xorshift RNGs
title_sort xorshift rngs
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2003-07-01
description Description of a class of simple, extremely fast random number generators (RNGs) with periods 2k - 1 for k = 32, 64, 96, 128, 160, 192. These RNGs seem to pass tests of randomness very well.
url http://www.jstatsoft.org/index.php/jss/article/view/2312
work_keys_str_mv AT georgemarsaglia xorshiftrngs
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