Convex optimization course stanford

Gain the necessary tools and training to recognize convex optimization problems that confront the engineering field. Learn the basic theory of problems including course convex sets, functions, and optimization problems with a concentration on results that are useful in computation.

What are the methods of convex optimization?

Decentralized convex optimization via primal and dual decomposition

Monotone operators and proximal methods; alternating direction method of multipliers

Exploiting problem structure in implementation

Convex relaxations of hard problems

Global optimization via branch and bound

Robust and stochastic optimization

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