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The Monte Carlo Method: Computer Simulation of Experiments

  • Byron P. Roe
Chapter
Part of the Undergraduate Texts in Contemporary Physics book series (UTCP)

Abstract

Many times we wish to simulate the results of an experiment by using a computer and random variables, using the pseudorandom number generators available on computers. This is known as Monte Carlo simulation. This is often done because the experiment is very complicated and it is not practical to analytically summarize all of the different effects influencing our results. We try to generate a set of representative simulated events and let them, on a computer, run through our apparatus. In this chapter, we will examine techniques for doing this efficiently. This method is necessarily connected with computers, and we will introduce some simple computer problems here also.

Keywords

Importance Sampling Pseudorandom Number Monte Carlo Technique Pseudorandom Number Generator Monte Carlo Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 2001

Authors and Affiliations

  • Byron P. Roe
    • 1
  1. 1.Department of Physics, Randall LaboratoryUniversity of MichiganAnn ArborUSA

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