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Dergiler / Results in Nonlinear Analysis / 2019 / Cilt: 2 - Sayı: 1

Stochastic Dynamics of Tumor-Immune System

Nurgül GÖKGÖZ
Sayfa
1–6
Yayın Tarihi
2019-04-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Furthermore, the models are made discrete by using Euler-Maruyama scheme, simulation results of the corresponding models are investigated and compared.

📌 3 Maddede Bu Makale

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Amaç & Hipotez: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.
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Temel Bulgular & Veri: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.
💡
Sonuç & Katkı:Furthermore, the models are made discrete by using Euler-Maruyama scheme, simulation results of the corresponding models are investigated and compared.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler: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.

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Bu Makaleye Atıf Yap

GÖKGÖZ, N. (2019). Stochastic Dynamics of Tumor-Immune System. Results in Nonlinear Analysis, Cilt: 2 - Sayı: 1, 1–6. https://ajindex.com/articles/797778

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Kaynakça (14)

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