Xorshift RNGs

George Marsaglia

Journal of Statistical Software · 2003 · 418 citations · 0 references

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Concepts

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.