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Resonance

, Volume 6, Issue 4, pp 69–77 | Cite as

Computer based modelling and simulation

2. Modelling and simulation with probability and throwing dice
  • N. K. Srinivasan
General Article
  • 34 Downloads

Abstract

Most systems involve parameters and variables, which are random variables due to uncertainties. Probabilistic methods are powerful in modelling such systems. In this second part, we describe probabilistic models and Monte Carlo simulation along with ‘classical’ matrix methods and differential equations as most real situations are complex (with several variables) and involve uncertainties.

Keywords

Monte Carlo Simulation Modelling Situation Interactive Simulation Computer Base Modelling Tactical Training 
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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Suggested Reading

  1. [1]
    Web Based Simulation,Simulation Journal, Special Issue, Published by International Society for Computer Simulation, San Diego, July, 1999Google Scholar
  2. [2]
    J Banks (Editor),Handbook of Simulation, John Wiley, 1998.Google Scholar

Copyright information

© Indian Academy of Sciences 2001

Authors and Affiliations

  1. 1.Centre for Aeronautical System Studies and AnalysesDRDOBangaloreIndia

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