Category:Box-Muller transform

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The Box-Muller transform is a simple method for generating normally distributed random numbers from uniformly distributed random numbers. Since most pseudorandom number generators output uniformly or nearly-uniformly distributed values, it is commonly used in combination with these to create generators for normally distributed values, which are useful in simulating data sets with a known mean (average) and spread.


Articles in category "Box-Muller transform"

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