A crank nicolson difference scheme for the system of nonlinear observing epidemic models
dc.contributor.author | Ashyralyev, A. | |
dc.contributor.author | Hincal, E. | |
dc.contributor.author | Kaymakamzade, B. | |
dc.date.accessioned | 2024-07-12T20:49:15Z | |
dc.date.available | 2024-07-12T20:49:15Z | |
dc.date.issued | 2019 | en_US |
dc.department | Fakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümü | en_US |
dc.description.abstract | Classical epidemic SIR, SIS, and SEIR models have been proposed and studied by many authors in (see, e.g., [1]- [2] and the references given therein). Theorems on existence and uniqueness of the bounded solution of linear and nonlinear systems are established in ( [3],[4]). In the present paper, a Crank Nicolson difference scheme and iteration method are used for the approximate solution of system of nonlinear observing epidemic model. Numerical results are provided. | en_US |
dc.identifier.citation | Ashyralyev, A., Hincal, E. ve Kaymakamzade, B. (2019). A crank nicolson difference scheme for the system of nonlinear observing epidemic models. International Conference of Mathematical Sciences (ICMS 2019). s. 111. | en_US |
dc.identifier.endpage | 112 | en_US |
dc.identifier.isbn | 978-605-2124-29-1 | |
dc.identifier.startpage | 111 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12415/2148 | |
dc.language.iso | en | en_US |
dc.publisher | Maltepe Üniversitesi | en_US |
dc.relation.ispartof | International Conference of Mathematical Sciences (ICMS 2019) | en_US |
dc.relation.publicationcategory | Uluslararası Konferans Öğesi - Başka Kurum Yazarı | en_US |
dc.rights | CC0 1.0 Universal | * |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
dc.snmz | KY01512 | |
dc.subject | Epidemic models | en_US |
dc.subject | Crank-Nicholson difference scheme | en_US |
dc.subject | Realization in computer | en_US |
dc.title | A crank nicolson difference scheme for the system of nonlinear observing epidemic models | en_US |
dc.type | Article | |
dspace.entity.type | Publication |