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Simulation and Optimization

  • Edwin F. MeyerIII
  • Nickolas Falkner
  • Raja Sooriamurthi
  • Zbigniew Michalewicz
Chapter
Part of the Undergraduate Topics in Computer Science book series (UTICS)

Abstract

Many real-world problems are so complex that it is impossible to conduct a full theoretical analysis. In such cases, we can turn to simulation – we make experiments and carefully record the results. We have already suggested simulation when we discussed Problem 7.5, where different tennis players might have different probabilities of winning their games against different opponents, and we have to determine the probability of twins playing against each other in the tournament.

Keywords

Arrival Time Monte Carlo Simulation Quality Measure Tennis Player Monte Carlo Experiment 
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.

Reference

  1. 1.
    Metropolis N, Ulam S (1949) The Monte Carlo method. J Am Stat Assoc 44:335–341CrossRefMATHMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • Edwin F. MeyerIII
    • 1
  • Nickolas Falkner
    • 2
  • Raja Sooriamurthi
    • 3
  • Zbigniew Michalewicz
    • 2
  1. 1.Baldwin Wallace UniversityBereaUSA
  2. 2.University of AdelaideSouth AustraliaAustralia
  3. 3.Carnegie Mellon UniversityPittsburghUSA

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