Monte Carlo simulation method

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

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

1 Citation (Scopus)

Abstract

The sequential use of random numbers, to sample the values of probability variables, allows obtaining solutions to mathematical problems such as the Monte Carlo method, that allows to model stochastic parameters or deterministic based on random sampling. To justify the use of this method is needed knowing concepts such as the weak law of large numbers and the central boundary theorem.

Original languageEnglish
Title of host publicationProblem-based learning: A didactic strategy in the teaching of system simulation
EditorsLorenzo Cevallos-Torres, Miguel Botto-Tobar
PublisherSpringer
Chapter5
Pages87-96
Number of pages10
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

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  • Cite this

    Cevallos-Torres, L., & Botto-Tobar, M. (2019). Monte Carlo simulation method. In L. Cevallos-Torres, & M. Botto-Tobar (Eds.), Problem-based learning: A didactic strategy in the teaching of system simulation (pp. 87-96). (Studies in Computational Intelligence; Vol. 824). Springer. https://doi.org/10.1007/978-3-030-13393-1_5