Improved convergence analysis for the Kurchatov method

dc.contributor.authorArgyros, I.K.
dc.contributor.authorGeorge, S.
dc.date.accessioned2026-02-05T09:32:25Z
dc.date.issued2017
dc.description.abstractWe 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.citationNonlinear Functional Analysis and Applications, 2017, 22, 1, pp. 41-58
dc.identifier.issn12291595
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/25664
dc.publisherKyungnam University Press jongkyuk@kyungnam.ac.kr
dc.subjectBanach space
dc.subjectDivided difference
dc.subjectKurchatov method
dc.subjectLocal-semilocal convergence
dc.subjectNewton's method
dc.titleImproved convergence analysis for the Kurchatov method

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