Mixed Type Algorithms for Asymptotically Nonexpansive Mappings in Hyperbolic Spaces
DOI:
https://doi.org/10.29020/nybg.ejpam.v14i3.4005Keywords:
uniformly convex hyperbolic space, strong convergence, common fixed points, mixed type algorithm, asymptotically nonexpansive mappingAbstract
In this paper, a new mixed type iteration process for approximating a common fixed point of two asymptotically nonexpansive self-mappings and two asymptotically nonexpansive nonself-mappings is constructed. We then establish a strong convergence theorem under mild conditions in a uniformly convex hyperbolic space. The results presented here extend and improve some related results in the literature.Downloads
Published
2021-08-05
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Section
Nonlinear Analysis
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How to Cite
Mixed Type Algorithms for Asymptotically Nonexpansive Mappings in Hyperbolic Spaces. (2021). European Journal of Pure and Applied Mathematics, 14(3), 650-665. https://doi.org/10.29020/nybg.ejpam.v14i3.4005