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Iterative methods with memory for solving systems of nonlinear equations using a second order approximation

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Iterative methods with memory for solving systems of nonlinear equations using a second order approximation

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Cordero Barbero, A.; Maimó, JG.; Torregrosa Sánchez, JR.; Vassileva, MP. (2019). Iterative methods with memory for solving systems of nonlinear equations using a second order approximation. Mathematics. 7(11):1-12. https://doi.org/10.3390/math7111069

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/159353

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Title: Iterative methods with memory for solving systems of nonlinear equations using a second order approximation
Author: Cordero Barbero, Alicia Maimó, Javier G. Torregrosa Sánchez, Juan Ramón Vassileva, María P.
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] Iterative methods for solving nonlinear equations are said to have memory when the calculation of the next iterate requires the use of more than one previous iteration. Methods with memory usually have a very stable ...[+]
Subjects: Iterative methods , Secant method , Methods with memory , Multidimensional Newton polynomial interpolation , Basin of attraction
Copyrigths: Reconocimiento (by)
Source:
Mathematics. (eissn: 2227-7390 )
DOI: 10.3390/math7111069
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/math7111069
Project ID:
FONDOCYT/2016-2017-212
GENERALITAT VALENCIANA/PROMETEO/2016/089
AEI/PGC2018-095896-B-C22-AR
Thanks:
This research was supported by PGC2018-095896-B-C22 (MCIU/AEI/FEDER, UE), Generalitat Valenciana PROMETEO/2016/089, and FONDOCYT 2016-2017-212 Republica Dominicana.
Type: Artículo

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