Three-Step Derivative-Free Method of Order Six

Author:

Kumar Sunil1ORCID,Sharma Janak2ORCID,Argyros Ioannis3,Regmi Samundra4ORCID

Affiliation:

1. Department of Mathematics, University Centre for Research and Development, Chandigarh University, Mohali 140413, Punjab, India

2. Department of Mathematics, Sant Longowal Institute of Engineering and Technology, Longowal 148106, Punjab, India

3. Department of Computing and Mathematical Sciences, Cameron University, Lawton, OK 73505, USA

4. Department of Mathematics, University of Houston, Houston, TX 77204, USA

Abstract

Derivative-free iterative methods are useful to approximate the numerical solutions when the given function lacks explicit derivative information or when the derivatives are too expensive to compute. Exploring the convergence properties of such methods is crucial in their development. The convergence behavior of such approaches and determining their practical applicability require conducting local as well as semi-local convergence analysis. In this study, we explore the convergence properties of a sixth-order derivative-free method. Previous local convergence studies assumed the existence of derivatives of high order even when the method itself was not utilizing any derivatives. These assumptions imposed limitations on its applicability. In this paper, we extend the local analysis by providing estimates for the error bounds of the method. Consequently, its applicability expands across a broader range of problems. Moreover, the more important and challenging semi-local convergence not investigated in earlier studies is also developed. Additionally, we survey recent advancements in this field. The outcomes presented in this paper can be proved valuable to practitioners and researchers engaged in the development and analysis of derivative-free numerical algorithms. Numerical tests illuminate and validate further the theoretical results.

Publisher

MDPI AG

Subject

Applied Mathematics,General Mathematics

Reference14 articles.

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2. Traub, J.F. (1964). Iterative Methods for the Solution of Equations, Prentice-Hall.

3. Chui, C.K., and Wuytack, L. (2007). Computational Theory of Iterative Methods, Elsevier Publ. Co.

4. A variant of Steffensen’s method of fourth-order convergence and its applications;Liu;Appl. Math. Comput.,2010

5. Frozen divided difference scheme for solving systems of nonlinear equations;Grau;J. Comput. Appl. Math.,2011

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