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Multidimensional generalization of iterative methods for solving nonlinear problems by means of weight-function procedure

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Multidimensional generalization of iterative methods for solving nonlinear problems by means of weight-function procedure

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Artidiello Moreno, SDJ.; Cordero Barbero, A.; Torregrosa Sánchez, JR.; Vassileva, MP. (2015). Multidimensional generalization of iterative methods for solving nonlinear problems by means of weight-function procedure. Applied Mathematics and Computation. 268:1064-1071. doi:10.1016/j.amc.2015.07.024

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/64688

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Title: Multidimensional generalization of iterative methods for solving nonlinear problems by means of weight-function procedure
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] In this paper, from Traub’s method and by applying weight function technique, a bi-parametric family of predictor–corrector iterative schemes with optimal fourth-order of convergence, for solving nonlinear equations, ...[+]
Subjects: Nonlinear system , Optimal order , Weight function procedure , Divided difference operator , Efficiency index
Copyrigths: Reserva de todos los derechos
Source:
Applied Mathematics and Computation. (issn: 0096-3003 ) (eissn: 1873-5649 )
DOI: 10.1016/j.amc.2015.07.024
Publisher:
Elsevier
Publisher version: https://dx.doi.org/10.1016/j.amc.2015.07.024
Thanks:
This research was partially supported by Ministerio de Economia y Competitividad MTM2014-52016-C02-02 and FONDOCYT 2014-1C1-088, Republica Dominicana.
Type: Artículo

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