Abstract
All processes in organisms, from the interaction of molecules to complex functions of the brain and other organs, obey physical laws. Mathematical modeling is an important step towards uncovering the organizational principles and dynamic behavior of biological systems.
In so far as the theorems of mathematics relate to reality, they are not certain, and in so far as they are certain they do not relate to reality.
Every thing should be made as simple as possible but not simpler.
Albert Einstein (1879–1955).
Biology is moving from being a descriptive science to being a quantitative science.
John Whitmarsh, National Inst. of Health, 2005 Joint AMS.
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References
L. Barbalat, Systemes d’ equations differentielles d’oscillations nonlineaires. Rev. Roumaine Math. Pures. Appl. 4, 267–270 (1959)
L. Von Bertalanffy, A quantitative theory of organic growth. Hum. Biol. 10(2), 181–213 (1938)
A.A. Blumberg, Logistic growth rate functions. J. Theor. Biol. 21, 42–44 (1968)
T.C. Fisher, R.H. Fry, Tech. Forecast. Soc. Changes 3, 75 (1971)
K. Gopalsamy, M.R.S. Kulenovic, G. Ladas, On logistic equation with piecewise constant arguments. Differ. Integr. Equat. 4, 215–223 (1990)
K. Gopalsamy, X.Z. He, D.Q. Sun, Oscillation and convergence in a diffusive delay logistic equation. Math. Nach. 164, 219–237 (1993)
Y. Liu, W. Ge, Global attractivity in a delay “food-limited’ models with exponential impulses. J. Math. Anal. Appl. 287, 200–216 (2003)
Y. Muroya, Uniform persistence for Lotka–Volterra type delay differential systems. Nonlinear Anal. Real World Appl. 4, 689–710 (2003)
J. Sugie, On the stability of a population growth equation with time delay. Proc. Roy. Soc. Edenb. A 120, 179–184 (1992)
S. Tang, L. Chen, Global attractivity in a “food-limited” population model with impulsive effects. J. Math. Anal. Appl. 266, 401–419 (2002)
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Agarwal, R.P., O’Regan, D., Saker, S.H. (2014). Logistic Models. In: Oscillation and Stability of Delay Models in Biology. Springer, Cham. https://doi.org/10.1007/978-3-319-06557-1_1
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DOI: https://doi.org/10.1007/978-3-319-06557-1_1
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