2022
DOI: 10.1002/mma.8209
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An improvement of the Kurchatov method by means of a parametric modification

Abstract: In this work, a uniparametric generalization of the iterative method due to Kurchatov is presented. The iterative model presented is derivative‐free and approximates the solution of nonlinear equations when the operator is non‐differenciable. As the accessibility of the Kurchatov method is usually a problem in the application of the method, since the set of initial guesses that guarantee the convergence of the method is small, the main objective of this work is to improve the Kurchatov iterative method in its … Show more

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Cited by 5 publications
(2 citation statements)
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“…Notice that the family (2.1) can be assumed as a combination of the Newton's method (µ = 0) for differentiable case and the Kurchatov method (µ = 1) in both cases, differentiable and non-differentiable for operator K. This uniparametric family maintains the quadratic convergence [14] as the Kurchatov method [2,23] and improves the accessibility of the Kurchatov method by considering values near to µ = 0, which is similar to the Newton's method.…”
Section: Preliminariesmentioning
confidence: 99%
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“…Notice that the family (2.1) can be assumed as a combination of the Newton's method (µ = 0) for differentiable case and the Kurchatov method (µ = 1) in both cases, differentiable and non-differentiable for operator K. This uniparametric family maintains the quadratic convergence [14] as the Kurchatov method [2,23] and improves the accessibility of the Kurchatov method by considering values near to µ = 0, which is similar to the Newton's method.…”
Section: Preliminariesmentioning
confidence: 99%
“…Hernández et al [14] established the local and semilocal convergence analysis of method (2.1) for non-differentiable operators under ω-conditions.…”
Section: Preliminariesmentioning
confidence: 99%