Lecture

Quadratic Penalty Methods: Concepts and Algorithms

In course

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Description

This lecture covers quadratic penalty methods for optimization problems, focusing on nonconvex-concave settings. The instructor explains the challenges of nonsmooth, nonconvex optimization and introduces primal-dual algorithms with penalty functions. Various linearization techniques and their convergence properties are discussed, along with the role of the prox-operator in optimization algorithms.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_t05a8fu2

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