A New Efficient Optimal Eighth-Order Iterative Method for Solving Nonlinear Equations
J. P. Jaiswal, Neha Choubey

TL;DR
This paper introduces a new eighth-order iterative method for solving nonlinear equations that is efficient, requiring only four evaluations per iteration, and demonstrates superior performance over existing methods.
Contribution
The paper presents a novel eighth-order iterative method with a three-step process that improves efficiency and convergence for solving nonlinear equations.
Findings
Achieves eighth-order convergence
Requires four evaluations per iteration
Outperforms existing eighth-order methods in tests
Abstract
We established a new eighth-order iterative method, consisting of three steps, for solving nonlinear equations. Per iteration the method requires four evaluations (three function evaluations and one evaluation of the first derivative). Convergence analysis shows that this method is eighth-order convergent which is also substantiated through the numerical works.Computational results ascertain that our method is efficient and demonstrate almost better performance as compared to the other well known eighth-order methods.
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 · Advanced Optimization Algorithms Research · Matrix Theory and Algorithms
