Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/72686
Title: An Accelerated Fixed-Point Algorithm with an Inertial Technique for a Countable Family of G-Nonexpansive Mappings Applied to Image Recovery
Authors: Kobkoon Janngam
Rattanakorn Wattanataweekul
Keywords: Chemistry
Computer Science
Mathematics
Physics and Astronomy
Issue Date: 1-Apr-2022
Abstract: Many authors have proposed fixed-point algorithms for obtaining a fixed point of G-nonexpansive mappings without using inertial techniques. To improve convergence behavior, some accelerated fixed-point methods have been introduced. The main aim of this paper is to use a coordinate affine structure to create an accelerated fixed-point algorithm with an inertial technique for a countable family of G-nonexpansive mappings in a Hilbert space with a symmetric directed graph G and prove the weak convergence theorem of the proposed algorithm. As an application, we apply our proposed algorithm to solve image restoration and convex minimization problems. The numerical experiments show that our algorithm is more efficient than FBA, FISTA, Ishikawa iteration, S-iteration, Noor iteration and SP-iteration.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127590838&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/72686
ISSN: 20738994
Appears in Collections:CMUL: Journal Articles

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