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