EECS 1520 Study Guide - Final Guide: Discrete Event Simulation

• School: York University
• Department: Electrical Engineering and Computer Science
• Course: EECS 1520
• Professor: John Hofbauer

Document Summary

Chapter 14 simulation, graphics, gaming and other applications. Simulation a model of a complex system and experimenting with the model to observe the results. Systems that are best suited to being simulated are dynamic, interactive, and complicated. Model an abstraction of a real system; a representation of objects within a system and the rules that govern the behavior of the objects. The essence of constructing a model is to identify a small subset of characteristics or features that are sufficient to describe the behavior under investigation. The goal is to build the simplest model that describes the relevant behavior. Treat time as continuous and express changes in terms of a set of differential equations that reflect the relationships among the set of characteristics. Thus the characteristics or features chosen to model the system must be those whose behavior is understood mathematically. Discrete-event models are made up of entities, attributes, and events.