Monte Carlo simulation method

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review

1 Citaat (Scopus)

Samenvatting

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.

Originele taal-2Engels
TitelProblem-based learning: A didactic strategy in the teaching of system simulation
RedacteurenLorenzo Cevallos-Torres, Miguel Botto-Tobar
UitgeverijSpringer
Hoofdstuk5
Pagina's87-96
Aantal pagina's10
ISBN van elektronische versie978-3-030-13393-1
ISBN van geprinte versie978-3-030-13392-4
DOI's
StatusGepubliceerd - 1 jan 2019

Publicatie series

NaamStudies in Computational Intelligence
Volume824
ISSN van geprinte versie1860-949X

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  • Citeer dit

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