EECS 1520 Chapter Notes - Chapter 14: Regression Analysis, Fluid Mechanics, Discrete Event Simulation

• School: York University
• Department: Electrical Engineering and Computer Science
• Course: EECS 1520
• Professor: Paul Kashiyama

Document Summary

Definition of simulation: developing a model of a complex system and experimental manipulation of that model to observe results. Definition of complex system: collection of objects interacting in some way, systems that are best suited to be simulated are. Definition of model: an abstraction of a real system, a representation of objects within a system and the rules that govern the behaviour of the objects. Examples: physical: airplane scale model to test aerodynamics physical-logical: airplane flight simulator logical: gas station queueing system model. Constructing models: identify a small subset of characteristics or features that are sufficient to describe the behaviour under investigation, build the simplest model that describes the relevant behaviour. Continuous simulation: treats time as continuous and express changes in terms of a set of differential equations reflecting the relationships among the set of characteristics. Characteristics/features chosen to model the system must have behavior that is understood mathematically: examples: weather prediction, stock market, pepper-moth population (lab 5),