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Instructor Class Description

Time Schedule:

Maryam Fazel Sarjoui
M E 578
Seattle Campus

Optimization in System Sciences

Covers convex sets, separation theorems, theorem of alternatives and their applications, convex analysis, convex functions, conjugation, subgradients, convex optimization, duality and applications, linear and semi-definite programming. Linear matrix inequalities, optimization algorithms, applications in system theory and control, bilinear, rank minimization, optimization software. Recommended: A A 547/M E 547/E E 547. Offered: jointly with A A 578/E E 578; W.

Class description

Convex sets and functions, convex optimization problems (inclding linear, quadratic, geometric and semidefinite programming), duality theory and applications. Applications of convex optimization, with examples in data fitting, systems and control, statistical estimation, networking, and engineering design. Brief overview of convex optimization algorithms and advanced topics as time allows. Prerequisites: AA/EE/ME 547 or equivalent, EE 510 or equivalent, or consent of instructor.

Student learning goals

General method of instruction

Recommended preparation

Class assignments and grading


The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Last Update by Maryam Fazel Sarjoui
Date: 12/31/2008