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Authors: George Marsaglia
Title: [download]
(16065)Xorshift RNGs
Reference: Vol. 8, Issue 14, Jul 2003
Submitted 2003-05-06, Accepted 2003-07-04
Type: Article
Abstract:

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.
Paper: [download]
(16065)Xorshift RNGs
(application/pdf, 45.4 KB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: Commons GNU General Public License License
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