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dc.creatorTorkashvand, Vali
dc.creatorMomenzadeh, Mohammad
dc.creatorLotf, Taher
dc.date2020-10-01
dc.date.accessioned2020-10-16T12:44:58Z
dc.date.available2020-10-16T12:44:58Z
dc.identifierhttps://www.revistaproyecciones.cl/index.php/proyecciones/article/view/3592
dc.identifier10.22199/issn.0717-6279-2020-05-0072
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/155190
dc.descriptionWe are devoted to the study of an iterative recursive Traub-Steffensen like method for approximating the simple roots of a nonlinear equation. Using the recursive technique, the R-order of convergence is increased from 4 to 8 without any new function evaluations, which means 100% improvement of the order of the convergence. The theoretical study of the convergence rate is investigated and demonstrated. A few nonlinear problems are presented to justify the theoretical study.en-US
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad Católica del Norte.en-US
dc.relationhttps://www.revistaproyecciones.cl/index.php/proyecciones/article/view/3592/3553
dc.relationhttps://www.revistaproyecciones.cl/index.php/proyecciones/article/view/3592/3554
dc.rightsCopyright (c) 2020 Vali Torkashvand, Mohammad Momenzadeh, Taher Lotfen-US
dc.rightshttp://creativecommons.org/licenses/by/4.0en-US
dc.sourceProyecciones (Antofagasta, On line); Vol. 39 No. 5 (2020); 1167-1189en-US
dc.sourceProyecciones. Revista de Matemática; Vol. 39 Núm. 5 (2020); 1167-1189es-ES
dc.source0717-6279
dc.source10.22199/issn.0717-6279-2020-05
dc.subjectNonlinear equationsen-US
dc.subjectSimple rootsen-US
dc.subjectComputational order of convergenceen-US
dc.subjectWeight functionen-US
dc.subjectRecursive method with memoryen-US
dc.subject65G99en-US
dc.subjectNone of the above, but in this sectionen-US
dc.subject49M15en-US
dc.subjectNewton-type methodsen-US
dc.subject65H05en-US
dc.subjectNumerical computation of solutions to single equationsen-US
dc.titleCreating a new two-step recursive memory method with eight-order based on Kung and Traub's method.en-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Articleen-US
dc.typetexten-US


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