Gökgöz, N.2025-09-232025-09-232019Gökgöz, Nurgül (2019). "Stochastic dynamics of tumor-immune system: A numerical approach", Results in Nonlinear Analysis, Vol. 2, No. 1, pp. 1-6.2636-7556https://hdl.handle.net/20.500.12416/15364In 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. © 2019, Cankaya University. All rights reserved.eninfo:eu-repo/semantics/closedAccessEuler-Maruyama MethodItô CalculusMarkov ChainStochastic ModelTumor-Immune SystemStochastic Dynamics of Tumor-Immune System: a Numerical ApproachStochastic dynamics of tumor-immune system: A numerical approachArticle2-s2.0-85099186555