A Methodology for Obtaining the Different Convergence Orders of Numerical Method under Weaker Conditions

Ioannis K. Argyros, Samundra Regmi, Stepan Shakhno () and Halyna Yarmola
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Ioannis K. Argyros: Department of Mathematical Sciences, Cameron University, Lawton, OK 73505, USA
Samundra Regmi: Department of Mathematics, University of Houston, Houston, TX 77204, USA
Stepan Shakhno: Department of Theory of Optimal Processes, Ivan Franko National University of Lviv, Universytetska Str. 1, 79000 Lviv, Ukraine
Halyna Yarmola: Department of Computational Mathematics, Ivan Franko National University of Lviv, Universytetska Str. 1, 79000 Lviv, Ukraine

Mathematics, 2022, vol. 10, issue 16, 1-16

Abstract: A process for solving an algebraic equation was presented by Newton in 1669 and later by Raphson in 1690. This technique is called Newton’s method or Newton–Raphson method and is even today a popular technique for solving nonlinear equations in abstract spaces. The objective of this article is to update developments in the convergence of this method. In particular, it is shown that the Kantorovich theory for solving nonlinear equations using Newton’s method can be replaced by a finer one with no additional and even weaker conditions. Moreover, the convergence order two is proven under these conditions. Furthermore, the new ratio of convergence is at least as small. The same methodology can be used to extend the applicability of other numerical methods. Numerical experiments complement this study.

Keywords: nonlinear equation; criterion; integral equation; convergence (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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