Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/WSC.2007.4419611 | Winter Simulation Conference |
Keywords | Field | DocType |
monte carlo methodology,model stochastic process,scientific role,many-dimensional problem,physical science,computer code,monte carlo method,faithful transformation,efficient way,important physical system,monte carlo,monte carlo methods,parallel computer,stochastic process,physical sciences,numerical method | Monte Carlo method,Computational physics,Source code,Simulation,Physical system,Computer science,Stochastic process,Computational science,Numerical analysis,Monte Carlo molecular modeling,Computation | Conference |
ISBN | Citations | PageRank |
1-4244-1306-0 | 1 | 0.36 |
References | Authors | |
1 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Malvin H. Kalos | 1 | 41 | 6.54 |