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Lecture 3 | Convex Optimization II (Stanford)

Uploaded by: stanforduniversity
Video Description:
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd covers subgradient methods.
This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating projections. Exploiting problem structure in implementation. Convex relaxations of hard problems, and global optimization via branch & bound. Robust optimization. Selected applications in areas such as control, circuit design, signal processing, and communications.
Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622
EE364B Course Website:
http://www.stanford.edu/class/ee364b/
Stanford University:
http://www.stanford.edu
Stanford University Channel on YouTube:
http://www.youtube.com/stanford

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