On the improvement of the order of convergence of iterative methods for solving nonlinear systems by means of memory

dc.contributor.author	Chicharro, Francisco Israel
dc.contributor.author	Cordero, Alicia
dc.contributor.author	Garrido, Neus
dc.contributor.author	Torregrosa, Juan Ramón
dc.date	2020-06
dc.date.accessioned	2020-08-07T09:40:14Z
dc.date.available	2020-08-07T09:40:14Z
dc.identifier.issn	0893-9659
dc.identifier.uri	https://reunir.unir.net/handle/123456789/10371
dc.description.abstract	Iterative methods with memory for solving nonlinear systems have been designed. For approximating the accelerating parameters the Kurchatov's divided difference is used as an approximation of the derivative of second order. The convergence of the proposed schemes is analyzed by means of Taylor expansions. Numerical examples are shown to compare the performance of the proposed schemes with other known ones, confirming the theoretical results.	es_ES
dc.language.iso	eng	es_ES
dc.publisher	Applied Mathematics Letters	es_ES
dc.relation.ispartofseries	;vol. 104
dc.relation.uri	https://www.sciencedirect.com/science/article/abs/pii/S0893965920300707?via%3Dihub	es_ES
dc.rights	restrictedAccess	es_ES
dc.subject	nonlinear systems	es_ES
dc.subject	iterative methods	es_ES
dc.subject	divided difference operator	es_ES
dc.subject	kurchatov divided difference	es_ES
dc.subject	Scopus	es_ES
dc.subject	JCR	es_ES
dc.title	On the improvement of the order of convergence of iterative methods for solving nonlinear systems by means of memory	es_ES
dc.type	Articulo Revista Indexada	es_ES
reunir.tag	~ARI	es_ES
dc.identifier.doi	https://doi.org/10.1016/j.aml.2020.106277

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