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Approximating fixed points of relatively nonexpansivemappings via Thakur iteration

Publication Type : Journal Article

Publisher : Symmetry

Source : Symmetry,14,6 (2022), 1107

Campus : Coimbatore

Year : 2022

Abstract : The study of symmetry is a major tool in the nonlinear analysis. The symmetricity of distance function in a metric space plays important role in proving the existence of a fixed point for a self mapping. In this work, we approximate a fixed point of noncyclic relatively nonexpansive mappings by using a three-step Thakur iterative scheme in uniformly convex Banach spaces. We also provide a numerical example where the Thakur iterative scheme is faster than some well known iterative schemes such as Picard, Mann, and Ishikawa iteration. Finally, we provide a stronger version of our proposed theorem via von Neumann sequences.

Cite this Research Publication : V. Pragadeeswarar, R. Gopi,M. De la Sen, Approximating Fixed Points of Relatively Nonexpansive Mappings via Thakur Iteration, Symmetry,14,6 (2022), 1107

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