### 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 language | English |
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Title of host publication | Problem-based learning: A didactic strategy in the teaching of system simulation |

Editors | Lorenzo Cevallos-Torres, Miguel Botto-Tobar |

Publisher | Springer |

Pages | 33-58 |

Number of pages | 26 |

ISBN (Electronic) | 978-3-030-13393-1 |

ISBN (Print) | 978-3-030-13392-4 |

DOIs | |

Publication status | Published - 1 Jan 2019 |

### Publication series

Name | Studies in Computational Intelligence |
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Volume | 824 |

ISSN (Print) | 1860-949X |

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## 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