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Random Number Generators
Abstract
The purpose of the chapter is to introduce basic concepts of random sequence generation that can be used in the simulation modeling of random flows. In the first part, features of random number generators (RNGs) are presented, distinguishing the two directions of realization – true RNGs and pseudo-RNGs. The first type are nondeterministic systems with hardware realization. The second type is realized based on deterministic algorithms with initial values for some parameters. A brief overview of these types was made. The second part of the chapter is devoted to Pseudo-RNGs, which are mainly used in simulation modeling. Their implementation is based on a selected probability distribution law – discrete or continuous. An example for program implementation of for the purposes of random flow modeling is presented and parameters of the most frequently used distributions are summarized. At the end, the three types of distributions for the simulation are discussed in more detail - uniform, normal, and distribution of Poisson.
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