Comparison of stochastic and random models for bacterial resistance

Autor: Zafer Bekiryazici, Tahir Khaniyev, Mehmet Merdan, Tülay Kesemen
Přispěvatelé: RTEÜ, Fen - Edebiyat Fakültesi, Matematik Bölümü, Bekiryazıcı, Zafer, TOBB ETU, Faculty of Engineering, Department of Industrial Engineering, TOBB ETÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü, Khaniyev, Tahir
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Advances in Difference Equations, Vol 2017, Iss 1, Pp 1-19 (2017)
Popis: In this study, a mathematical model of bacterial resistance considering the immune system response and antibiotic therapy is examined under random conditions. A random model consisting of random differential equations is obtained by using the existing deterministic model. Similarly, stochastic effect terms are added to the deterministic model to form a stochastic model consisting of stochastic differential equations. The results from the random and stochastic models are also compared with the results of the deterministic model to investigate the behavior of the model components under random conditions.
[Merdan, Mehmet] Gumushane Univ, Dept Math Engn, Gumushane, Turkey; [Bekiryazici, Zafer] Recep Tayyip Erdogan Univ, Dept Math, TR-53100 Rize, Turkey; [Kesemen, Tulay] Karadeniz Tech Univ, Dept Math, Trabzon, Turkey; [Khaniyev, Tahir] TOBB Univ Econ & Technol, Dept Ind Engn, Ankara, Turkey
Databáze: OpenAIRE