Improving the accessibility of Steffensen s method by decomposition of operators
[EN] Solving equations of the form H(x) = 0 is usually done by applying iterative methods. The main interest of this paper is to improve the domain of starting points for Steffensen's method. In general, the accessibility of iterative methods that use divided differences in their algorithms...
| Autores: | , |
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| Formato: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Recursos: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/121421 |
| Acesso em linha: | https://riunet.upv.es/handle/10251/121421 |
| Access Level: | acceso abierto |
| Palavra-chave: | Iterative method Local convergence Non-differentiable operator Dynamics Steffensen&apos s method MATEMATICA APLICADA |
| Resumo: | [EN] Solving equations of the form H(x) = 0 is usually done by applying iterative methods. The main interest of this paper is to improve the domain of starting points for Steffensen's method. In general, the accessibility of iterative methods that use divided differences in their algorithms is reduced, since there are difficulties in the choice of starting points to guarantee the convergence of the methods. In particular, by using a decomposition of the operator H and applying a special type of iterative methods, which combine two iterative schemes in the algorithms, we can improve the accessibility of Steffensen's method. Moreover, we analyze the local convergence of the new iterative method proposed in two cases: when H is differentiable and H is non-differentiable. The dynamical properties show that the method also improves the region of accessibility of Steffensen's method for non-differentiable operators. So, we present an alternative for the non-applicability of Newton's method to non-differentiable operators that improves the accessibility of Steffensen's method. The theoretical results are illustrated with numerical experiments. (C) 2017 Elsevier B.V. All rights reserved. |
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