Refined Iterative Method for a Common Variational Inclusion and Common Fixed-Point Problem with Practical Applications

Autor:	Chaiporn Thangthong, Raweerote Suparatulatorn, Tanadon Chaobankoh, Khuanchanok Chaichana
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	process innovation common fixed-point problem common variational inclusion problem demicontractive mapping parallel method strong convergence Mathematics QA1-939
Zdroj:	Axioms, Vol 13, Iss 11, p 740 (2024)
Druh dokumentu:	article
ISSN:	2075-1680
DOI:	10.3390/axioms13110740
Popis:	This paper introduces a novel parallel method for solving common variational inclusion and common fixed-point (CVI-CFP) problems. The proposed algorithm provides a strong convergence theorem established under specific conditions associated with the CVI-CFP problem. Numerical simulations demonstrate the algorithm’s efficacy in the context of signal recovery problems involving various types of blurred filters. The results highlight the algorithm’s potential for practical applications in image processing and other fields.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/9611a3bffba84a369869f5ab42be166c Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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