Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/13701
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dc.contributor.authorÇelik, Elçin-
dc.contributor.authorUçar, Deniz-
dc.date.accessioned2023-07-27T19:51:17Z-
dc.date.available2023-07-27T19:51:17Z-
dc.date.issued2023-
dc.identifier.issn2291-8639-
dc.identifier.urihttps://doi.org/10.28924/2291-8639-21-2023-58-
dc.identifier.urihttps://hdl.handle.net/11147/13701-
dc.description.abstractEarly analysis of infectious diseases is very important in the spread of the disease. The main aim of this study is to make important predictions and inferences for Covid 19, which is the current epidemic disease, with mathematical modeling and numerical solution methods. So we deal with the logistic growth model. We obtain carrying capacity and growth rate with Turkey epidemic data. The obtained growth rate and carrying capacity is used in the Taylor collocation method. With this method, we estimate and making predictions close to reality with Maple. We also show the estimates made with the help of graphics and tables. © 2023 the author(s).en_US
dc.language.isoenen_US
dc.publisherEtamaths Publishingen_US
dc.relation.ispartofInternational Journal of Analysis and Applicationsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCollocation pointsen_US
dc.subjectCOVID 19en_US
dc.subjectLogistic growth modelen_US
dc.subjectTaylor polynomials and seriesen_US
dc.titleAnalysis of the logistic growth model with Taylor Matrix and collocation methoden_US
dc.typeArticleen_US
dc.institutionauthorÇelik, Elçin-
dc.departmentİzmir Institute of Technology. Mathematicsen_US
dc.identifier.volume21en_US
dc.identifier.wosWOS:001021285600003en_US
dc.identifier.scopus2-s2.0-85163717166en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.28924/2291-8639-21-2023-58-
dc.authorscopusid57574674600-
dc.authorscopusid50162544000-
dc.identifier.scopusqualityQ4-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.languageiso639-1en-
crisitem.author.dept01. Izmir Institute of Technology-
Appears in Collections:Mathematics / Matematik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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