Analysis and Control of Polynomial Dynamic Models with Biological Applications

This book PDF is perfect for those who love Mathematics genre, written by Gabor Szederkenyi and published by Academic Press which was released on 30 March 2018 with total hardcover pages 184. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Analysis and Control of Polynomial Dynamic Models with Biological Applications books below.

Analysis and Control of Polynomial Dynamic Models with Biological Applications
Author : Gabor Szederkenyi
File Size : 40,8 Mb
Publisher : Academic Press
Language : English
Release Date : 30 March 2018
ISBN : 9780128154960
Pages : 184 pages
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Analysis and Control of Polynomial Dynamic Models with Biological Applications by Gabor Szederkenyi Book PDF Summary

Analysis and Control of Polynomial Dynamic Models with Biological Applications synthesizes three mathematical background areas (graphs, matrices and optimization) to solve problems in the biological sciences (in particular, dynamic analysis and controller design of QP and polynomial systems arising from predator-prey and biochemical models). The book puts a significant emphasis on applications, focusing on quasi-polynomial (QP, or generalized Lotka-Volterra) and kinetic systems (also called biochemical reaction networks or simply CRNs) since they are universal descriptors for smooth nonlinear systems and can represent all important dynamical phenomena that are present in biological (and also in general) dynamical systems. Describes and illustrates the relationship between the dynamical, algebraic and structural features of the quasi-polynomial (QP) and kinetic models Shows the applicability of kinetic and QP representation in biological modeling and control through examples and case studies Emphasizes the importance and applicability of quantitative models in understanding and influencing natural phenomena

Analysis and Control of Polynomial Dynamic Models with Biological Applications

Analysis and Control of Polynomial Dynamic Models with Biological Applications synthesizes three mathematical background areas (graphs, matrices and optimization) to solve problems in the biological sciences (in particular, dynamic analysis and controller design of QP and polynomial systems arising from predator-prey and biochemical models). The book puts a significant emphasis

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