Stochastic Dynamics of Tumor-Immune System: a Numerical Approach
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Date
2019
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Publisher
Cankaya University
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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. © 2019, Cankaya University. All rights reserved.
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Keywords
Euler-Maruyama Method, Itô Calculus, Markov Chain, Stochastic Model, Tumor-Immune System
Fields of Science
Citation
Gökgöz, Nurgül (2019). "Stochastic dynamics of tumor-immune system: A numerical approach", Results in Nonlinear Analysis, Vol. 2, No. 1, pp. 1-6.
WoS Q
Scopus Q
Q3
Source
Results in Nonlinear Analysis
Volume
2
Issue
1
Start Page
1
End Page
6
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1
checked on Feb 23, 2026
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5
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