Problemas de equilíbrio e métodos de Lagrangeano aumentado para problemas de desigualdades variacionais

Abstract

In this paper we present augmented Lagrangian methods that are used in solving Variational Inequalities Problems (VIP) into subsets of Rn defined by convex constraints. We analyze the convergence of these methods for (VIP) problem solutions, presenting the conditions necessary to ensure that the generated algorithms converge. We conclude that the main algorithms presented here, namely Inexact Augmented Lagrangian Extragradiente Method and Inexact Proximal Point Extragradiente Method, generate the same sequence when applied to distinct inequality variational problems but interconnected. Thus assured that solution to one of the problems and its convergence of the algorithm which is used, we conclude that another algorithm also converges providing solution of the respective problem that it is applied.