2006
DOI: 10.1007/s11117-006-0044-3
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A Semilocal Convergence of a Secant–Type Method for Solving Generalized Equations

Abstract: In this paper we present a study of the existence and the convergence of a secant-type method for solving abstract generalized equations in Banach spaces. With different assumptions for divided differences, we obtain a procedure that have superlinear convergence. This study follows the recent results of semilocal convergence related to the resolution of nonlinear equations (see [11]).

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Cited by 14 publications
(21 citation statements)
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“…Faster convergence to the solution than the corresponding ones in [8,11,12]; 2. Our method does not need the evaluation of any Fréchet derivative; 3.…”
Section: Resultsmentioning
confidence: 99%
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“…Faster convergence to the solution than the corresponding ones in [8,11,12]; 2. Our method does not need the evaluation of any Fréchet derivative; 3.…”
Section: Resultsmentioning
confidence: 99%
“…In the case G = {0}, super-linear convergence results of an uniparametric Secant-type method for solving (1.1) are developed in [12] using Lipschitz and Hölder conditions on the first order divided differences operators. Using some ideas introduced by us in [6] for nonlinear equations, a Newton-like method is used in [8] for solving perturbed generalized equation under some condition on the second order divided difference operator.…”
Section: ) Is a Nonlinear Equation In The Formmentioning
confidence: 99%
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“…A similar condition to (1.4) on the first order divided difference is used in [13]- [16] to study the local convergence for the secant and Steffensentype methods. Some convergence analysis of (1.2) is presented in [2] using a condition on the mth (m ≥ 2) Fréchet derivative ∇ (m) f :…”
Section: Newton's Methods For Variational Inclusions Under Conditionementioning
confidence: 99%
“…We provide a local convergence analysis under ω-conditioned divided difference which generalizes the usual Lipschitz continuous and Hölder continuous conditions used in [14]. …”
mentioning
confidence: 99%