A framework for applying subgradient methods

Abstract

I discuss a framework that came to mind five years ago, in trying to solve an algorithmic problem in the context of hyperbolic programming. I never solved that problem, but the framework has proved to have interesting algorithmic consequences for convex optimization generally.Non UBCUnreviewedAuthor affiliation: Cornell UniversityFacult

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