文章基本信息
- 标题：Xorshift RNGs
- 本地全文：下载
- 作者：George Marsaglia
- 期刊名称：Journal of Statistical Software
- 印刷版ISSN：1548-7660
- 电子版ISSN：1548-7660
- 出版年度：2003
- 卷号：8
- 期号：1
- 页码：1-6
- 语种：English
- 出版社：University of California, Los Angeles
- 摘要：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.
