Improved convergence analysis for the Kurchatov method
| dc.contributor.author | Argyros, I.K. | |
| dc.contributor.author | George, S. | |
| dc.date.accessioned | 2026-02-05T09:32:25Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | We present a new convergence analysis for the Kurchatov method using our new idea of restricted convergence domains in order to solve nonlinear equations in a Banach space setting. The suffcient convergence conditions are weaker than in earlier studies. Hence, we extend the applicability of this method. Moreover, our radius of convergence is larger leading to a wider choice of initial guesses and fewer iterations to achieve a desired error tolerance. Numerical examples are also provided showing the advantages of our approach over earlier work. © 2017 Kyungnam University Press. | |
| dc.identifier.citation | Nonlinear Functional Analysis and Applications, 2017, 22, 1, pp. 41-58 | |
| dc.identifier.issn | 12291595 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/25664 | |
| dc.publisher | Kyungnam University Press jongkyuk@kyungnam.ac.kr | |
| dc.subject | Banach space | |
| dc.subject | Divided difference | |
| dc.subject | Kurchatov method | |
| dc.subject | Local-semilocal convergence | |
| dc.subject | Newton's method | |
| dc.title | Improved convergence analysis for the Kurchatov method |
