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A generalized proximal point algorithmfor the nonlinear complementarity problem

Published online by Cambridge University Press:  15 August 2002

Regina S. Burachik
Affiliation:
Universidade Federal de Rio de Janeiro, COPPE/UFRJ, Programa de Engenharia de Sistemase Computacao, Caixa Postal 68511, CEP 21945-970, Rio de Janeiro - RJ - Brazil.
Alfredo N. Iusem
Affiliation:
Instituto de Matematica Pura e Aplicada, Estrada Dona Castorina, 110, CEP 22460-320, Rio de Janeiro, RJ, Brazil.
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Abstract

We consider a generalized proximal point method (GPPA) forsolving the nonlinear complementarity problem with monotone operators inRn . It differs from the classical proximal point method discussedby Rockafellar for the problem of finding zeroes of monotone operatorsin the use of generalized distances, called φ-divergences,instead of the Euclidean one. These distances play not only aregularization role but also a penalization one, forcing the sequencegenerated by the method to remain in the interior of the feasible set,so that the method behaves like an interior point one. Under appropriateassumptions on the φ-divergence and the monotone operator weprove that the sequence converges if and only if the problem hassolutions, in which case the limit is a solution. If the problem doesnot have solutions, then the sequence is unbounded. We extend previousresults for the proximal point method concerning convex optimizationproblems.

Type
Research Article
Copyright
© EDP Sciences, 1999

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