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Pseudo-Random Numbers and Congruential Methods

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Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation

Part of the book series: Studies in Computational Intelligence ((SCI,volume 824))

Abstract

The pseudo numbers are the essential basis of the simulation. Usually, all randomness involved in the model is obtained from a random number generator that produces a succession of values that are supposed to be realizations of a sequence of independent random variables and identically distributed uniforms U (0, 1). To be more explicit about the use of pseudo numbers, we will analyze concepts such as mixed or linear congruence method, multiplicative congruence method, additive congruence method.

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Author information

Authors and Affiliations

  1. Faculty of Mathematical and Physical Sciences, University of Guayaquil, Guayaquil, Ecuador

    Lorenzo Cevallos-Torres

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Miguel Botto-Tobar

  3. University of Guayaquil, Guayaquil, Ecuador

    Miguel Botto-Tobar

Authors
  1. Lorenzo Cevallos-Torres
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  2. Miguel Botto-Tobar
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Correspondence to Lorenzo Cevallos-Torres .

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Cevallos-Torres, L., Botto-Tobar, M. (2019). Pseudo-Random Numbers and Congruential Methods. In: Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation. Studies in Computational Intelligence, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-030-13393-1_3

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