**Non-uniform Random Numbers**

**Pseudo-random number sampling** or **non-uniform pseudo-random variate generation** is the numerical practice of generating pseudo-random numbers that are distributed according to a given probability distribution.

Methods of sampling a non-uniform distribution are typically based on the availability of a pseudo-random number generator producing numbers *X* that are uniformly distributed. Computational algorithms are then used to manipulate a single random variate, *X*, or often several such variates, into a new random variate *Y* such that these values have the required distribution.

Historically, basic methods of pseudo-random number sampling were developed for Monte-Carlo simulations in the Manhattan project; they were first published by John von Neumann in the early 1950s.

Read more about Non-uniform Random Numbers: Finite Discrete Distributions, Continuous Distributions, Software Libraries

### Other articles related to "random number":

**Non-uniform Random Numbers**- Software Libraries

... GNU Scientific Library has a section entitled "

**Random Number**Distributions" with routines for sampling under more than twenty different distributions ...

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—Gerard Manley Hopkins (1844–1889)