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This course is about convex optimization. The image on the left illustrates how we can build a ‘‘sparse graphical model’’ based on Senate voting data, revealing an inner structure of the two political parties. The graph is obtained using a convex approximation described here.
The course covers the following topics.
Convex analysis and convex optimization problems.
Convex duality and optimality conditions.
First- and second-order algorithms.
Online optimization.
Distributed optimization.
Robust convex optimization and applications to stochastic programming.
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Link to UC Berkeley Schedule of classes:
here.
Lectures: TuTh 11-1230P, 3106 ETCHEVERRY.
Discussion section: Th 4-5pm, 3108 ETCHEVERRY.
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