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Linear Systems and Optimization: Convex Optimization II
Convex Optimization II is one of the ten free courses being offered to the public through Stanford Engineering Everywhere. The course belongs to the Linear Systems and Optimization series and is taught by Professor Stephen Boyd of Stanford University's Electrical Engineering Department.
The course covers 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.
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- Lecture videos are offered via Silverlight, iTunes, YouTube, and downloadable .wmv and .mp4 torrents. Course materials in the form of .pdf files are also available for download.
- Language:
- English
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This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States
