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Generating Pseudorandom Numbers From Various Distributions Using C

机译:使用C从各种分布生成伪随机数

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This report documents a set of functions, written in C++, that can be used to generate pseudorandom numbers that have either uniform or normal distributions and pseudorandom integers that have either uniform or Poisson distributions. An implementation of the Mersenne twister algorithm, developed by Matsumoto and Nishimura, is included. The output from the Mersenne twister is used to generate the various distributions through the use of assorted transformation algorithms.

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