Unified convergence domains of Newton-like methods for solving operator equations

dc.contributor.authorArgyros, I.K.
dc.contributor.authorGeorge, S.
dc.date.accessioned2026-02-05T09:33:02Z
dc.date.issued2016
dc.description.abstractWe present a unified semilocal convergence analysis in order to approximate a locally unique zero of an operator equation in a Banach space setting. Using our new idea of restricted convergence domains we generate smaller Lipschitz constants than in earlier studies leading to the following advantages: weaker sufficient convergence criteria, tighter error estimates on the distances involved and an at least as precise information on the location of the zero. Hence, the applicability of these methods is extended. These advantages are obtained under the same cost on the parameters involved. Numerical examples where the old sufficient convergence criteria cannot apply to solve equations but the new criteria can apply are also provided in this study. © 2016 Elsevier Inc. All rights reserved.
dc.identifier.citationApplied Mathematics and Computation, 2016, 286, , pp. 106-114
dc.identifier.issn963003
dc.identifier.urihttps://doi.org/10.1016/j.amc.2016.04.010
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/25949
dc.publisherElsevier Inc. usjcs@elsevier.com
dc.subjectBanach spaces
dc.subjectConvergence criterion
dc.subjectConvergence domains
dc.subjectError estimates
dc.subjectLipschitz constant
dc.subjectNewton like methods
dc.subjectOperator equation
dc.subjectSemi-local convergences
dc.subjectZero of an operator
dc.subjectMathematical operators
dc.titleUnified convergence domains of Newton-like methods for solving operator equations

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