Computer Science – Mathematical Software
Scientific paper
2010-05-13
The Computer Journal 51, 5 (Sept. 2008), 579-584.
Computer Science
Mathematical Software
13 pages. For further information, see http://wwwmaths.anu.edu.au/~brent/pub/pub213.html
Scientific paper
We outline some of Chris Wallace's contributions to pseudo-random number generation. In particular, we consider his idea for generating normally distributed variates without relying on a source of uniform random numbers, and compare it with more conventional methods for generating normal random numbers. Implementations of Wallace's idea can be very fast (approximately as fast as good uniform generators). We discuss the statistical quality of the output, and mention how certain pitfalls can be avoided.
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