Xorshift RNGs 论文
2003Journal of Statistical Software引用 413顶会
Chaos-based Image/Signal EncryptionBenford’s Law and Fraud DetectionAnalytic Number Theory Research
详细信息
- 发表期刊/会议
- Journal of Statistical Software
- 发表日期
- 2003-01-01
- 发表年份
- 2003
关键词
Chaos-based Image/Signal EncryptionBenford’s Law and Fraud DetectionAnalytic Number Theory Research
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.