ELEC 403 Engineering Design by Optimization

The course is primarily concerned with unconstrained numerical optimization techniques as applied to various engineering design problems. Here the term "numerical optimization" is referred to a process of finding optimal numerical values for a set of design parameters in the sense that these parameters would minimize an objective function which represents the performance of the design., The term "unconstrained" is referred to the class of optimization problems in which no constraints are imposed on the parameters involved.

The techniques to be studied in the course include 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. The course includes laboratory sessions to program various optimization algorithms and to apply them to several modeling and engineering design problems. (Prerequisites: ELEC 310 or Equivalent)

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