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The Monte Carlo Method in Science and Engineering
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2006.34March/April 2006 (vol. 8 no. 2) pp. 9-19
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Jacques G. Amar, "The Monte Carlo Method in Science and Engineering," Computing in Science and Engineering, vol. 8, no. 2, pp. 9-19, March/April, 2006.
 
 
BibTex
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@article{ 10.1109/MCSE.2006.34,
author = {Jacques G. Amar},
title = {The Monte Carlo Method in Science and Engineering},
journal ={Computing in Science and Engineering},
volume = {8},
number = {2},
issn = {1521-9615},
year = {2006},
pages = {9-19},
doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2006.34},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - MGZN
JO - Computing in Science and Engineering
TI - The Monte Carlo Method in Science and Engineering
IS - 2
SN - 1521-9615
SP9
EP19
EPD - 9-19
A1 - Jacques G. Amar,
PY - 2006
KW - simulation theory
KW - Markov processes
KW - Monte Carlo
KW - parallelism and concurrency
VL - 8
JA - Computing in Science and Engineering
ER -
 
Jacques G. Amar, University of Toledo
Since 1953, researchers have applied the Monte Carlo method to a wide range of areas. Specialized algorithms have also been developed to extend the method's applicability and efficiency. The author describes some of the algorithms that have been developed to perform Monte Carlo simulations in science and engineering.
Index Terms:
simulation theory, Markov processes, Monte Carlo, parallelism and concurrency
Citation:
Jacques G. Amar, "The Monte Carlo Method in Science and Engineering," Computing in Science and Engineering, vol. 8, no. 2, pp. 9-19, Mar./Apr. 2006, doi:10.1109/MCSE.2006.34
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