Time Schedule:
Maryam Fazel Sarjoui
E E 578
Seattle Campus
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/M E/E E 547. Offered: jointly with A A/M E 578; W.
Class description
Convex sets and functions; convex optimization; separation theorems; theorem of alternatives; duality and its applications; linear, quadtratic, geometric and semi-definite programming; optimization algorithms, and convex relaxation/approximation for nonconvex problems. Applications in: systems and control, networking, signal processing, finance and systems biology (as time permits).
Student learning goals
General method of instruction
Recommended preparation
Recommended: A A/M E/E E 547
Class assignments and grading