Using Mathematica to aid simulation analysis

Author

Savory, Paul A.

Author_Institution

Nebraska Univ., Lincoln, NE, USA

fYear

1995

fDate

3-6 Dec 1995

Firstpage

1324

Lastpage

1328

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

Keywords

digital simulation; optimisation; programming environments; queueing theory; random number generation; software packages; statistical analysis; surface fitting; symbol manipulation; Mathematica; distribution fitting; optimization; queueing analysis; random number generation; simulation analysis; surface plot; symbolic programming environment; Analytical models; Computational modeling; Engineering management; Gaussian distribution; Power engineering and energy; Power system management; Queueing analysis; Surface fitting; Systems engineering and theory; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference Proceedings, 1995. Winter

Conference_Location

Arlington, VA

Print_ISBN

0-78033018-8

Type

conf

DOI

10.1109/WSC.1995.479042

Filename

479042