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dc.creatorBujanda Cirauqui, Blancaes_ES
dc.creatorMoreta, M. Jesúses_ES
dc.creatorJorge Ulecia, Juan Carloses_ES
dc.date.accessioned2020-03-23T09:23:55Z
dc.date.available2022-02-01T00:00:18Z
dc.date.issued2020
dc.identifier.issn0096-3003
dc.identifier.urihttps://hdl.handle.net/2454/36564
dc.description.abstractFractional Step Runge–Kutta–Nyströ (FSRKN) methods have been revealed to be an excellent option to integrate numerically many multidimensional evolution models governed by second order in time partial differential equations. These methods, combined with suitable spatial discretizations, lead to strong computational cost reductions respect to many classical implicit time integrators. In this paper, we present the construction process of several implicit FSRKN methods of two and three levels which attain orders up to three and satisfy adequate stability properties. We have also performed some numerical experiments in order to show the unconditionally convergent behavior of these schemes as well as their computational advantages.en
dc.description.sponsorshipB. Bujanda had financial support from VOLTEADOR 0011-1365-2018-000178, PERISEIS 4.0 PC054-055 and IoTrain RTI2018-095499-B-C31. M. J. Moreta had financial support from MTM 2015-66837-P. and PGC2018-101443-B-I00 J. C. Jorge had financial support from MTM2014-52859-P and MTM2017-83490-P.en
dc.format.extent26 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofApplied Mathematics and Computation, 2020, 366, 124743en
dc.rights© 2019 Elsevier Inc. This manuscript version is made available under the CC-BY-NC-ND 4.0.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/
dc.subjectFractional Step Runge-Kutta-Nyströ methodsen
dc.subjectSecond-order partial differential equationsen
dc.titleNew fractional step Runge-Kutta-Nyström methods up to order threeen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute for Advanced Materials and Mathematics - INAMAT2es_ES
dc.contributor.departmentInstitute of Smart Cities - ISCes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.embargo.terms2022-02-01
dc.identifier.doi10.1016/j.amc.2019.124743
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//MTM2015-66837-P/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//MTM2014-52859-P/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-83490-P/ES/en
dc.relation.publisherversionhttps://doi.org/10.1016/j.amc.2019.124743
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.type.versionVersión aceptada / Onetsi den bertsioaes


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© 2019 Elsevier Inc. This manuscript version is made available under the CC-BY-NC-ND 4.0.
La licencia del ítem se describe como © 2019 Elsevier Inc. This manuscript version is made available under the CC-BY-NC-ND 4.0.

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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