• 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