Numerical Modeling of Fractional-Order Biological Systems
Author
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We provide a class of fractional-order differential models of biological systems with memory, such as dynamics of tumor-immune system and dynamics of HIV infection of CD4+ T cells.
Stability and nonstability conditions for disease-free equilibrium and positive equilibria are obtained in terms of a threshold parameter ℛ0 (minimum infection parameter) for each model.
We provide unconditionally stable method, using the Caputo fractional derivative of order α and implicit Euler’s approximation, to find a numerical solution of the resulting systems.
The numerical simulations confirm the advantages of the numerical technique and using fractional-order differential models in biological systems over the differential equations with integer order.
The results may give insight to infectious disease specialists.
American Psychological Association (APA)
Rihan, Fathalla A.. 2013. Numerical Modeling of Fractional-Order Biological Systems. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-500430
Modern Language Association (MLA)
Rihan, Fathalla A.. Numerical Modeling of Fractional-Order Biological Systems. Abstract and Applied Analysis No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-500430
American Medical Association (AMA)
Rihan, Fathalla A.. Numerical Modeling of Fractional-Order Biological Systems. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-500430
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500430