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"Lec 19 - Convex Optimization I (Stanford)" Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the final lecture on convex optimization for the course, Convex Optimization I (EE 364A). Convex Optimization I concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=3940DD956CDF0622 EE 364A Course Website: http://www.stanford.edu/class/ee364 Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanford/

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Channels: Physics (General) Mathematics

Tags: science electrical engineering technology convex optimization signal processing barrier method feasibility self-concordance cone mathematics Newton iteration research

Uploaded by: stanfordconopt ( Send Message ) on 03-09-2012. Dnatube suggest users to have interest in drug testing, mesothelioma, insurance, medical lawyers.

Duration: 75m 2s

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This video is a part of a lecture series from of stanford