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dc.contributor.authorChicharro, Francisco Israel (1)
dc.contributor.authorCordero, Alicia
dc.contributor.authorMartínez, Tobias H. (1)
dc.contributor.authorTorregrosa, Juan Ramón
dc.date2020-03
dc.date.accessioned2020-06-18T06:53:13Z
dc.date.available2020-06-18T06:53:13Z
dc.identifier.issn1572-8897
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10192
dc.descriptionA correction to this article is available online at https://doi.org/10.1007/s10910-019-01090-5.es_ES
dc.description.abstractThe third-order iterative method designed by Weerakoon and Fernando includes the arithmetic mean of two functional evaluations in its expression. Replacing this arithmetic mean with different means, other iterative methods have been proposed in the literature. The evolution of these methods in terms of order of convergence implies the inclusion of a weight function for each case, showing an optimal fourth-order convergence, in the sense of Kung-Traub's conjecture. The analysis of these new schemes is performed by means of complex dynamics. These methods are applied on the solution of the nonlinear Colebrook-White equation and the nonlinear system of the equilibrium conversion, both frequently used in Chemistry.es_ES
dc.language.isoenges_ES
dc.publisherJournal of Mathematical Chemistryes_ES
dc.relation.ispartofseries;vol. 58, nº 3
dc.relation.urihttps://link.springer.com/article/10.1007/s10910-019-01085-2#citeases_ES
dc.rightsrestrictedAccesses_ES
dc.subjectnonlinear systemses_ES
dc.subjectiterative methodes_ES
dc.subjectweight functionses_ES
dc.subjectcomplex dynamicses_ES
dc.subjectbasin of attractiones_ES
dc.subjectchemical applicationses_ES
dc.subjectJCRes_ES
dc.subjectScopuses_ES
dc.titleCMMSE-2019 mean-based iterative methods for solving nonlinear chemistry problemses_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1007/s10910-019-01085-2


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