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    Lec 32 - Convex Optimization II (Stanford)

    "Lec 32 - Convex Optimization II (Stanford)" Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd continues his lecture on Conjugate Gradient Methods and then starts lecturing on the Truncated Newton Method. 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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    Lec 33 - Convex Optimization II (Stanford)

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    Lec 1 - Convex Optimization I (Stanford)

    Lec 2 - Convex Optimization I (Stanford)

    Lec 3 - Convex Optimization I (Stanford)

    Lec 4 - Convex Optimization I (Stanford)

    Lec 5 - Convex Optimization I (Stanford)

    Lec 6 - Convex Optimization I (Stanford)

    Lec 7 - Convex Optimization I

    Lec 8 - Convex Optimization I (Stanford)

    Lec 9 - Convex Optimization I (Stanford)

    Lec 10 - Convex Optimization I (Stanford)

    Lec 11 - Convex Optimization I (Stanford)

    Lec 12 - Convex Optimization I (Stanford)

    Lec 13 - Convex Optimization I (Stanford)

    Lec 14 - Convex Optimization I (Stanford)

    Lec 15 - Convex Optimization I (Stanford)

    Lec 16 - Convex Optimization I (Stanford)

    Convex Optimization (Stanford)

    Lec18 - Convex Optimization I (Stanford)

    Lec 19 - Convex Optimization I (Stanford)

    Lec 20 - Convex Optimization II (Stanford)

    Lec 21 - Convex Optimization II (Stanford)

    Lec 22 - Convex Optimization II (Stanford)

    Convex Optimization

    Lec 24 - Convex Optimization II (Stanford)

    Lec 25 - Convex Optimization II (Stanford)

    Lec 26 - Convex Optimization II (Stanford)

    Lec 27 - Convex Optimization II (Stanford)

    Lec 28 - Convex Optimization II (Stanford)

    Lec 29 - Convex Optimization II (Stanford)

    Lec 30 - Convex Optimization II (Stanford)

    Lec 31 - Convex Optimization II (Stanford)

    Lec 33 - Convex Optimization II (Stanford)

    Lec 34 - Convex Optimization II (Stanford)

    Lec 35 - Convex Optimization II (Stanford)

    Lec 36 - Convex Optimization II (Stanford)

    Lec Last - Convex Optimization II (Stanford)