 |
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.
|
|
For the newest resources, visit Wolfram Repositories and Archives »
