✨
AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Furthermore, the models are made discrete by using Euler-Maruyama scheme, simulation results of the corresponding models are investigated and compared.
📌 3 Key Takeaways
🎯
Objective & Hypothesis: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 It\^{o} formalism of the models are obtained.
📊
Key Findings & Data: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 It\^{o} formalism of the models are obtained.
💡
Conclusion & Impact:Furthermore, the models are made discrete by using Euler-Maruyama scheme, simulation results of the corresponding models are investigated and compared.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Ito Calculus · Stochastic Model · Markov Chain
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 It\^{o} 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.
🔖
Cite This Article
GÖKGÖZ, N. (2019). Stochastic Dynamics of Tumor-Immune System. Results in Nonlinear Analysis, Cilt: 2 - Sayı: 1, 1–6. https://ajindex.com/articles/797778