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2016 | OriginalPaper | Chapter

A New Two-Step Proximal Algorithm of Solving the Problem of Equilibrium Programming

Authors : Sergey I. Lyashko, Vladimir V. Semenov

Published in: Optimization and Its Applications in Control and Data Sciences

Publisher: Springer International Publishing

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Abstract

We propose a new iterative two-step proximal algorithm for solving the problem of equilibrium programming in a Hilbert space. This method is a result of extension of L.D. Popov’s modification of Arrow-Hurwicz scheme for approximation of saddle points of convex-concave functions. The convergence of the algorithm is proved under the assumption that the solution exists and the bifunction is pseudo-monotone and Lipschitz-type.

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Metadata
Title
A New Two-Step Proximal Algorithm of Solving the Problem of Equilibrium Programming
Authors
Sergey I. Lyashko
Vladimir V. Semenov
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-42056-1_10