Approximating Endpoints of Multi-Valued Nonexpansive Mappings in Uniformly Convex Hyperbolic Spaces Using a Novel Iteration Process

IIn this paper, we propose a modified iteration process for approximating the endpoints of multi-valued nonexpansive mappings in 2-uniformly convex hyperbolic spaces, extending the framework of uniformly convex Banach spaces. We establish a \(\Delta\)-convergence theorem for the iterative sequence and, under sufficient conditions, prove strong convergence theorems. These findings extend and improve upon the work of Makbule Kaplan Ozekes and others. ¨

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Publication Details

Journal
Nonlinear Convex Analysis and Optimization: An International Journal on Numerical, Computation and Applications
Published
2025-05-06
DOI
https://doi.org/10.58715/ncao.2025.4.2
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Approximating Endpoints of Multi-Valued Nonexpansive Mappings in Uniformly Convex Hyperbolic Spaces Using a Novel Iteration Process

Thanomsak Laokul
Nonlinear Convex Analysis and Optimization: An International Journal on Numerical, Computation and Applications
Optimization and Variational Analysis
article

Approximating Endpoints of Multi-Valued Nonexpansive Mappings in Uniformly Convex Hyperbolic Spaces Using a Novel Iteration Process

Thanomsak Laokul
article en

Abstract

IIn this paper, we propose a modified iteration process for approximating the endpoints of multi-valued nonexpansive mappings in 2-uniformly convex hyperbolic spaces, extending the framework of uniformly convex Banach spaces. We establish a \(\Delta\)-convergence theorem for the iterative sequence and, under sufficient conditions, prove strong convergence theorems. These findings extend and improve upon the work of Makbule Kaplan Ozekes and others. ¨

Nonlinear Convex Analysis and Optimization: An International Journal on Numerical, Computation and ApplicationsVol. 4(1)
Openalex Percentile: Top 89%
Optimization and Variational Analysis
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