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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.

Link to UC Berkeley Schedule of classes: here.

  • Lectures: TuTh 11-1230P, 3106 ETCHEVERRY.

  • Discussion section: Th 4-5pm, 3108 ETCHEVERRY.