Some convergence results using a new iterative algorithm in CAT(0) space


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Authors

  • Anju Panwar
  • Pinki Lamba
  • Santosh Kumar

Keywords:

Strong convergence Stability CAT(0) spaces Iterative algorithm

Abstract

This paper presents a new iterative algorithm for approximating the invariant points of Suzuki's generalized nonexpansive maps. Some strong convergence theorems are developed in the context of CAT(0) space. We also included examples to demonstrate the proposed algorithm's convergence nature. Lastly, the stability of the said iterative algorithm is discussed to validate the results.

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Published

2022-11-07

How to Cite

Anju Panwar, Pinki Lamba, & Santosh Kumar. (2022). Some convergence results using a new iterative algorithm in CAT(0) space. Results in Nonlinear Analysis, 5(3), 263–272. Retrieved from https://nonlinear-analysis.com/index.php/pub/article/view/108

Issue

Vol. 5 No. 3 (2022): volume 5 issue 3

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.