Application of Growth Functions to Describe the Dynamics of Avascular Tumor in Human Body
Applied and Computational Mathematics
Volume 5, Issue 2, April 2016, Pages: 83-90
Received: Apr. 20, 2016; Accepted: Apr. 29, 2016; Published: May 12, 2016
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Bayru Haftu Hindeya, School of Mathematical and Statistical Sciences, Hawassa University, Hawassa, Ethiopia
Samba Narasimha Murthy, School of Mathematical and Statistical Sciences, Hawassa University, Hawassa, Ethiopia
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This paper deals with the applications of mathematical growth functions such as monomolecular, time delay logistic and Gompertz functions to describe the dynamics of avascular tumor growth. In this case we analyze the steady state of the modified systems of the model using Jacobean matrix to show that it is stable on the nontrivial stationary points of each applications. Numerical simulation of the growth functions is implemented by using “ode45” in MATLAB and graphical outputs are presented to show differences in evaluation of tumor sub-populations. We also find that the tumor cells increases with time so that the nutrient is disproportional to the number of cells and they transform in to quiescent and necrotic cells that cause cancer.
Avascular, Tumor, Monomolecular, Time Delay Logistic, Gompertz, Proliferating Cells, Quiescent Cells, Necrotic Cells
To cite this article
Bayru Haftu Hindeya, Samba Narasimha Murthy, Application of Growth Functions to Describe the Dynamics of Avascular Tumor in Human Body, Applied and Computational Mathematics. Vol. 5, No. 2, 2016, pp. 83-90. doi: 10.11648/j.acm.20160502.18
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