DocumentCode
2614975
Title
Monte Carlo methods in the physical sciences
Author
Kalos, Malvin H.
Author_Institution
Lawrence Livermore Nat. Lab., Livermore
fYear
2007
fDate
9-12 Dec. 2007
Firstpage
266
Lastpage
271
Abstract
I will review the role that Monte Carlo methods play in the physical sciences. They are very widely used for a number of reasons: they permit the rapid and faithful transformation of a natural or model stochastic process into a computer code. They are powerful numerical methods for treating the many-dimensional problems that derive from important physical systems. Finally, many of the methods naturally permit the use of modern parallel computers in efficient ways. In the presentation, I will emphasize four aspects of the computations: whether the computation derives from a natural or model stochastic process; whether the system under study is highly idealized or realistic; whether the Monte Carlo methodology is straightforward or mathematically sophisticated; and finally, the scientific role of the computation.
Keywords
Monte Carlo methods; Monte Carlo methods; physical sciences; stochastic process; Computational modeling; Concurrent computing; Kinetic theory; Laboratories; Lattices; Monte Carlo methods; Physics; Power system modeling; Radiation detectors; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2007 Winter
Conference_Location
Washington, DC
Print_ISBN
978-1-4244-1306-5
Electronic_ISBN
978-1-4244-1306-5
Type
conf
DOI
10.1109/WSC.2007.4419611
Filename
4419611
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