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Using Mathematica to Aid Simulation Analysis

P. Savory
Journal / Anthology

Proceedings of the 1995 Winter Simulation Conference
Year: 1995
Page range: 1324-1328

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 will be presented. The examples include using Mathematica for distribution fitting, queuing analysis, random number generation, and creating a surface plot for optimization.

*Engineering > Control Theory
*Mathematics > Probability and Statistics