Engineering Design by Optimization
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. Students are required to complete one project that applies some of the optimization techniques to be studied in the course to an engineering analysis or design problem.
Graduate course in the Electrical Engineering program offered by the Faculty of Graduate Studies.