Abstract
Many of the tasks that are performed on a digital computer require a source of random numbers that are independent and fit a specified probability density. The usual random number generator provides numbers that are uniformly distributed over the interval (0,1). A transformation is then employed to obtain deviates that follow the specified distribution. A complicated transformation can reduce the generation rate by as much as an order of magnitude or more.
© 1985 Optical Society of America
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