Stochastic dynamics of tumor-immune system: A numerical approach

dc.contributor.author	Gökgöz, Nurgül
dc.date.accessioned	2023-01-16T07:53:56Z
dc.date.available	2023-01-16T07:53:56Z
dc.date.issued	2019
dc.identifier.citation	Gökgöz, Nurgül (2019). "Stochastic dynamics of tumor-immune system: A numerical approach", Results in Nonlinear Analysis, Vol. 2, No. 1, pp. 1-6.	tr_TR
dc.identifier.issn	2636-7556
dc.identifier.uri	http://hdl.handle.net/20.500.12416/6062
dc.description.abstract	In this work, a very well known tumor-immune system model from the literature, Kuznetsov et al.’s model, is converted into two different Stochastic Differential Equation (SDE) models and an Itô formalism of the models are obtained. Furthermore, the models are made discrete by using Euler-Maruyama scheme, simulation results of the corresponding models are investigated and compared.	tr_TR
dc.language.iso	eng	tr_TR
dc.rights	info:eu-repo/semantics/closedAccess	tr_TR
dc.subject	Euler-Maruyama Method	tr_TR
dc.subject	Itô Calculus	tr_TR
dc.subject	Markov Chain	tr_TR
dc.subject	Stochastic Model	tr_TR
dc.subject	Tumor-Immune System	tr_TR
dc.title	Stochastic dynamics of tumor-immune system: A numerical approach	tr_TR
dc.type	article	tr_TR
dc.relation.journal	Results in Nonlinear Analysis	tr_TR
dc.contributor.authorID	228689	tr_TR
dc.identifier.volume	2	tr_TR
dc.identifier.issue	1	tr_TR
dc.identifier.startpage	1	tr_TR
dc.identifier.endpage	6	tr_TR
dc.contributor.department	Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü	tr_TR

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