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Effective results on a fixed point algorithm for families of nonlinear mappings
Authors:Andrei Sipo?
Institution:1. Faculty of Mathematics and Computer Science, University of Bucharest, Academiei 14, 010014 Bucharest, Romania;2. Simion Stoilow Institute of Mathematics of the Romanian Academy, P.O. Box 1-764, 014700 Bucharest, Romania
Abstract:We use proof mining techniques to obtain a uniform rate of asymptotic regularity for the instance of the parallel algorithm used by López-Acedo and Xu to find common fixed points of finite families of k-strict pseudocontractive self-mappings of convex subsets of Hilbert spaces. We show that these results are guaranteed by a number of logical metatheorems for classical and semi-intuitionistic systems.
Keywords:03F10  03F60  47J25  47H09  Proof mining  Effective bounds  Asymptotic regularity  Strict pseudocontractions  Parallel algorithm
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