On a Novel Iterative Algorithm in CAT(0) Spaces with Qualitative Analysis and Applications

This study presents a novel and efficient iterative scheme in the setting of CAT(0) spaces and investigates the convergence properties for a generalized class of mappings satisfying the Garcia–Falset property using the proposed iterative scheme. Strong and weak convergence results are established in CAT(0) spaces, generalizing many existing results in the literature. Furthermore, we discuss the stability and data dependence of the new iterative process. Numerical experiments include an analysis of error values, the number of iterations, and computational time, providing a comprehensive assessment of the method’s performance. Moreover, graphical comparisons demonstrate the efficiency and reliability of the approach. The obtained results are utilized in solving integral equations. Additionally, the paper concludes with a polynomiographic study of the newly introduced iterative process, in comparison with standard algorithms, such as Newton, Halley, or Kalantari’s B4 iteration, emphasizing symmetry properties.

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Publication Details

Journal
Symmetry
Published
2025-10-09
DOI
https://doi.org/10.3390/sym17101695
Citations
2
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
2.48
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article

On a Novel Iterative Algorithm in CAT(0) Spaces with Qualitative Analysis and Applications

Cristian Ciobanescu, Mujahid Abbas, Muhammad Nasir Khan
2 citations
Symmetry
Advanced Manufacturing and Logistics Optimization
2.48
article

On a Novel Iterative Algorithm in CAT(0) Spaces with Qualitative Analysis and Applications

Cristian Ciobanescu, Mujahid Abbas, Muhammad Nasir Khan
article en
2 citations

Abstract

This study presents a novel and efficient iterative scheme in the setting of CAT(0) spaces and investigates the convergence properties for a generalized class of mappings satisfying the Garcia–Falset property using the proposed iterative scheme. Strong and weak convergence results are established in CAT(0) spaces, generalizing many existing results in the literature. Furthermore, we discuss the stability and data dependence of the new iterative process. Numerical experiments include an analysis of error values, the number of iterations, and computational time, providing a comprehensive assessment of the method’s performance. Moreover, graphical comparisons demonstrate the efficiency and reliability of the approach. The obtained results are utilized in solving integral equations. Additionally, the paper concludes with a polynomiographic study of the newly introduced iterative process, in comparison with standard algorithms, such as Newton, Halley, or Kalantari’s B4 iteration, emphasizing symmetry properties.

SymmetryVol. 17(10)
China Medical University (TW), University of Johannesburg (ZA), Government College University, Lahore (PK), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Openalex Percentile: Top 9%
Advanced Manufacturing and Logistics Optimization
2.48
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