New results related to cutters and to an extrapolated block-iterative method for finding a common fixed point of a collection of them
Yair Censor, Daniel Reem, Maroun Zaknoon

TL;DR
This paper introduces a new extrapolated block-iterative method with dynamic weights for solving the common fixed point problem in Hilbert spaces, proving global convergence under less restrictive conditions for cutters.
Contribution
It presents a novel extrapolated block-iterative algorithm with dynamic weights for cutters, along with new convergence results and relaxed conditions on weights.
Findings
Global convergence proved under new weight conditions
Extended and generalized properties of cutters
Applicable to a wide class of operators in science and engineering
Abstract
Given a Hilbert space and a finite family of operators defined on the space, the common fixed point problem (CFPP) is to find a point in the intersection of the fixed point sets of these operators. Instances of the problem have numerous applications in science and engineering. We consider an extrapolated block-iterative method with dynamic weights for solving the CFPP assuming the operators belong to a wide class of operators called cutters. Global convergence is proved in two different scenarios, one of them is under a seemingly new condition on the weights which is less restrictive than a condition suggested in previous works. In order to establish convergence, we derive various new results of independent interest related to cutters, some of them extend, generalize and clarify previously published results.
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Taxonomy
TopicsIterative Methods for Nonlinear Equations · Advanced Optimization Algorithms Research · Optimization and Variational Analysis
