The Proximal Point Method with Remotest Set Control for Maximal Monotone Operators and Quasi-Nonexpansive Mappings

Alexander J. Zaslavski ()
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Alexander J. Zaslavski: Department of Mathematics, Technion-Israel Institute of Technology, Haifa 32000, Israel

Mathematics, 2025, vol. 13, issue 14, 1-12

Abstract: In the present paper, we use the proximal point method with remotest set control for find an approximate common zero of a finite collection of maximal monotone maps in a real Hilbert space under the presence of computational errors. We prove that the inexact proximal point method generates an approximate solution if these errors are summable. Also, we show that if the computational errors are small enough, then the inexact proximal point method generates approximate solutions

Keywords: Hilbert space; iteration; monotone operator; variational inequality (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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