On stability and convergence of a novel iterative method for fixed point problems

Regarded as a cornerstone of mathematics, the fixed-point (fp) explores invariant outcomes under defined operators, thus offering powerful tools for problems that arise in mathematics, physics, engineering, computer science, and economics. This paper presents a novel iterative method to approximate the fps of non-expansive maps in Banach spaces (BSs). We investigate the stability of the proposed method and provide its convergence analysis. A numerical example further illustrates its performance in comparison to existing iterations. Consequently, we theoretically and numerically prove that our new iterative algorithm converges faster than some leading iterative algorithms in the literature for non-expansive maps. Hence, our results generalize and improve several well-known results in the existing literature.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.20251089
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
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article

On stability and convergence of a novel iterative method for fixed point problems

Aynur Şahin, Sajan Aggarwal, Sabiya Khatoon, Izhar Uddin
AIMS Mathematics
Iterative Methods for Nonlinear Equations
article

On stability and convergence of a novel iterative method for fixed point problems

Aynur Şahin, Sajan Aggarwal, Sabiya Khatoon, Izhar Uddin
article en

Abstract

Regarded as a cornerstone of mathematics, the fixed-point (fp) explores invariant outcomes under defined operators, thus offering powerful tools for problems that arise in mathematics, physics, engineering, computer science, and economics. This paper presents a novel iterative method to approximate the fps of non-expansive maps in Banach spaces (BSs). We investigate the stability of the proposed method and provide its convergence analysis. A numerical example further illustrates its performance in comparison to existing iterations. Consequently, we theoretically and numerically prove that our new iterative algorithm converges faster than some leading iterative algorithms in the literature for non-expansive maps. Hence, our results generalize and improve several well-known results in the existing literature.

AIMS MathematicsVol. 10(10)
Sakarya University (TR), Jaypee Institute of Information Technology (IN), Jamia Millia Islamia (IN)
Openalex Percentile: Top 54%
Iterative Methods for Nonlinear Equations
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On stability and convergence of a novel iterative method for fixed point problems — Aynur Şahin, Sajan Aggarwal, et al. · AIMS Mathematics (2025) | TGRS Research Map | TGRS