Using Mathematica to aid simulation analysis

  • Authors:
  • Paul A. Savory

  • Affiliations:
  • Industrial and Management System Engineering, University of Nebraska, Lincoln, Nebraska

  • Venue:
  • WSC '95 Proceedings of the 27th conference on Winter simulation
  • Year:
  • 1995

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Abstract

As computer power has increased, so has the capability of software developers to write programs that assist people with time-consuming tasks. Mathematica is such a program. The objective of this paper is to demonstrate how Mathematica, a symbolic programming environment, can be used to aid simulation analysis. In addition to a general discussion of Mathematica's uses, advantages, and disadvantages, several examples are presented. The examples include using Mathematica for distribution fitting, queueing analysis, random number generation, and creating a surface plot for optimization.