Approximating fixed points of asymptotically nonexpansive mappings in Banach spaces by metric projections
Hossein Dehghan

TL;DR
This paper establishes a strong convergence theorem for asymptotically nonexpansive mappings in uniformly convex and smooth Banach spaces, extending previous results for nonexpansive mappings using metric projections.
Contribution
It introduces a new strong convergence theorem for asymptotically nonexpansive mappings in Banach spaces, improving upon prior theorems for nonexpansive mappings.
Findings
Proves a strong convergence theorem using metric projections.
Extends previous results from nonexpansive to asymptotically nonexpansive mappings.
Applicable in uniformly convex and smooth Banach spaces.
Abstract
In this paper, a strong convergence theorem for asymptotically nonexpansive mappings in a uniformly convex and smooth Banach space is proved by using metric projections. This theorem extends and improves the recent strong convergence theorem due to Matsushita and Takahashi [ Appl. Math. Comput. 196 (2008) 422-425] which was established for nonexpansive mappings.
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Taxonomy
TopicsOptimization and Variational Analysis · Fixed Point Theorems Analysis · Advanced Optimization Algorithms Research
