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dc.contributor.authorArgyros, I.K.-
dc.contributor.authorGeorge, S.-
dc.date.accessioned2020-03-31T08:35:18Z-
dc.date.available2020-03-31T08:35:18Z-
dc.date.issued2017-
dc.identifier.citationNonlinear Functional Analysis and Applications, 2017, Vol.22, 1, pp.41-58en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/11552-
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.en_US
dc.titleImproved convergence analysis for the Kurchatov methoden_US
dc.typeArticleen_US
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