Approximate Primal Solutions and Rate Analysis for Dual Subgradient Methods

Abstract

In this paper, we study methods for generating approximate primal solutions as a by-product of subgradient methods applied to the Lagrangian dual of a primal convex (possibly nondifferentiable) constrained optimization problem. Our work is motivated by constrained primal problems with a favorable dual problem structure that leads to efficient implementation… (More)
DOI: 10.1137/070708111

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