Pseudo-random numbers and congruential methods

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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.

Original languageEnglish
Title of host publicationProblem-based learning: A didactic strategy in the teaching of system simulation
EditorsLorenzo Cevallos-Torres, Miguel Botto-Tobar
PublisherSpringer
Pages33-58
Number of pages26
ISBN (Electronic)978-3-030-13393-1
ISBN (Print)978-3-030-13392-4
DOIs
Publication statusPublished - 1 Jan 2019

Publication series

NameStudies in Computational Intelligence
Volume824
ISSN (Print)1860-949X

Fingerprint Dive into the research topics of 'Pseudo-random numbers and congruential methods'. Together they form a unique fingerprint.

  • Cite this

    Cevallos-Torres, L., & Botto-Tobar, M. (2019). Pseudo-random numbers and congruential methods. In L. Cevallos-Torres, & M. Botto-Tobar (Eds.), Problem-based learning: A didactic strategy in the teaching of system simulation (pp. 33-58). (Studies in Computational Intelligence; Vol. 824). Springer. https://doi.org/10.1007/978-3-030-13393-1_3