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- W4214528494 abstract "The purpose of random number generators (RNGs) is to produce sequences of numbers that appear as if they were generated randomly from a specified probability distribution. These pseudorandom numbers, often called random numbers for short (with a slight abuse of language), are crucial ingredients for a whole range of computer usages, such as statistical experiments, simulation of stochastic systems, numerical analysis with Monte Carlo methods, probabilistic algorithms, computer games, cryptography, and gambling machines, to name a few. The RNGs are small computer programs implementing carefully crafted algorithms, whose design is (or should be) based on solid mathematical analysis. Usually, there is a basic uniform RNG whose aim is to produce numbers that imitate independent random variables from the uniform distribution over the interval [0,1] (i.i.d.U[0,1], and the random variables from other distributions (normal, chi-square, exponential, Poisson, etc.) are simulated by applying appropriate transformations to the uniform random numbers. This article summarizes briefly the design and testing principles of RNSs and gives pointers to recommended software and further information." @default.
- W4214528494 created "2022-03-02" @default.
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- W4214528494 date "2001-01-01" @default.
- W4214528494 modified "2023-10-15" @default.
- W4214528494 title "Random Numbers" @default.
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- W4214528494 doi "https://doi.org/10.1016/b0-08-043076-7/00493-9" @default.
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