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dc.contributor.authorGokdogan, Ahmet
dc.contributor.authorMerdan, Mehmet
dc.contributor.authorYildirim, Ahmet
dc.date.accessioned2021-11-09T19:42:52Z
dc.date.available2021-11-09T19:42:52Z
dc.date.issued2012
dc.identifier.issn1007-5704
dc.identifier.urihttps://doi.org/10.1016/j.cnsns.2011.05.023
dc.identifier.urihttps://hdl.handle.net/20.500.12440/3497
dc.description.abstractThe goal of this study is presented a reliable algorithm based on the standard differential transformation method (DTM), which is called the multi-stage differential transformation method (MsDTM) for solving Hantavirus infection model. The results obtanied by using MsDTM are compared to those obtained by using the Runge-Kutta method (R-K-method). The proposed technique is a hopeful tool to solving for a long time intervals in this kind of systems. (C) 2011 Elsevier B.V. All rights reserved.en_US
dc.language.isoengen_US
dc.publisherElsevier Science Bven_US
dc.relation.ispartofCommunications in Nonlinear Science and Numerical Simulationen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHantavirus infection modelen_US
dc.subjectDifferential transformation methoden_US
dc.subjectNumerical solutionen_US
dc.titleA multistage differential transformation method for approximate solution of Hantavirus infection modelen_US
dc.typearticleen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.description.wospublicationidWOS:000295995300001en_US
dc.description.scopuspublicationid2-s2.0-79961171250en_US
dc.departmentGümüşhane Üniversitesien_US
dc.authoridyildirim, ahmet / 0000-0001-8989-4271
dc.authoridGokdogan, Ahmet / 0000-0002-2663-500X
dc.identifier.volume17en_US
dc.identifier.issue1en_US
dc.identifier.startpage1en_US
dc.identifier.doi10.1016/j.cnsns.2011.05.023
dc.identifier.endpage8en_US
dc.authorwosidGokdogan, Ahmet / B-5816-2011
dc.authorwosidyildirim, ahmet / L-9328-2019
dc.authorwosidGokdogan, Ahmet / A-1798-2016
dc.authorscopusid37067342300
dc.authorscopusid34980002400
dc.authorscopusid14832004200


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