A Proximal-Projection Method for Finding Zeros of Set-Valued Operators

dc.creatorButnariu, Dan
dc.creatorKassay, Gabor
dc.date2007-11-15
dc.date.accessioned2026-07-07T08:43:04Z
dc.date.available2026-07-07T08:43:04Z
dc.descriptionIn this paper we study the convergence of an iterative algorithm for finding zeros with constraints for not necessarily monotone set-valued operators in a reflexive Banach space. This algorithm, which we call the proximal-projection method is, essentially, a fixed point procedure and our convergence results are based on new generalizations of Lemma Opial. We show how the proximal-projection method can be applied for solving ill-posed variational inequalities and convex optimization problems with data given or computable by approximations only. The convergence properties of the proximal-projection method we establish also allow us to prove that the proximal point method (with Bregman distances), whose convergence was known to happen for maximal monotone operators, still converges when the operator involved in it is monotone with sequentially weakly closed graph.
dc.description38 pages
dc.identifierhttps://arxiv.org/abs/0711.2351
dc.identifierhttp://arxiv.org/abs/0711.2351
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/142185
dc.subjectExactly Solvable and Integrable Systems
dc.titleA Proximal-Projection Method for Finding Zeros of Set-Valued Operators
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