The Monte Carlo Method: Computer Simulation of Experiments

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


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.


Importance Sampling Pseudorandom Number Monte Carlo Technique Pseudorandom Number Generator Monte Carlo Distribution 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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

Personalised recommendations