Convergence Criteria of a Three Step Scheme under generalized Lipschitz Condition in Banach Spaces
Akanksha Saxena, J. P. Jaiswal, K. R. Pardasani

TL;DR
This paper analyzes the local convergence of a three-step Newton-Traub method in Banach spaces under a generalized Lipschitz condition, providing weaker criteria and broader applicability with theoretical and numerical validation.
Contribution
It introduces a new convergence analysis framework using a generalized Lipschitz condition, extending the applicability of iterative methods in Banach spaces.
Findings
Convergence rate of five for the three-step scheme.
Weaker sufficient convergence criteria established.
Numerical examples support theoretical results.
Abstract
The goal of this study is to investigate the local convergence of a three-step Newton-Traub technique for solving nonlinear equations in Banach spaces with a convergence rate of five. The first order derivative of a nonlinear operator is assumed to satisfy the generalized Lipschitz condition, i.e. the -average condition. Furthermore, a few results on the convergence of the same method in Banach spaces are developed under the assumption that the derivative of the operators satisfies the radius or center Lipschitz condition with a weak -average, and that is a positive integrable function but not necessarily non-decreasing. Our new notion provides a tighter convergence analysis without the need for new circumstances. As a result, we broaden the applicability of iterative approaches. Theoretical results are supported further by illuminating examples. The existence…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIterative Methods for Nonlinear Equations · Fractional Differential Equations Solutions · Optimization and Variational Analysis
