Engineering Design by Optimization
Units: 1.5, Hours: 3-1.5
The steepest descent and Newton methods for unconstrained optimization. Golden section, quadratic, cubic and inexact line searches. Conjugate and quasi-Newton methods. The Fletcher-Reeves algorithm. Application to the design of circuits, control systems, filters, and mechanical systems using optimization techniques. Introduction to constrained optimization. Includes laboratory sessions to program various optimization algorithms and to apply them to several modelling and engineering design problems.
Prerequisites: 310 or CSC 349A.
Undergraduate course in Electrical Engineering offered by the Department of Electrical and Computer Engineering in the Faculty of Engineering.