Abstract

We give efficiency estimates for proximal bundle methods for finding f*≔minXf, where f and X are convex. We show that, for any accuracy ∈<0, these methods find a point xk∈X such that f(xk)−f*≤∈ after at most k=O(1/∈3) objective and subgradient evaluations.

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