Department of Computer Science
Section M Winter Thu 19:00-22:00This is an Atkinson course. Students may complete this course for Arts or Science credit. It may have an examination time which is not posted in the regular examination schedule.
A "continuous system" may either be presumed to be inherently continuous or it may, at a fine enough scale, be actually composed of discrete events. However, in simulation, a "continuous system" is one for which the model, due to practical necessity, is described by continuous variables regardless of its physical structure. However, the running of a continuous model involves, also of necessity, discrete steps. Thus central to continuous system simulation is the problem of approximation. (For simulation of discrete systems see COSC 3408.03)
Examples of continuous systems studied by simulation include dynamic systems involving very fine variations or large populations. Major sub-topics include chaotic behaviour, the numerical solution of differential equations by finite methods, and related issues of stability and errors.
Prerequisites: general prerequisites; MATH2560.03.