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＜電子ブック＞
Evolution Equations Arising in the Modelling of Life Sciences / by Messoud Efendiev
(International Series of Numerical Mathematics. ISSN:22966072 ; 163)

版	1st ed. 2013.
出版者	Basel : Springer Basel : Imprint: Birkhäuser
出版年	2013
本文言語	英語
大きさ	XII, 217 p : online resource
著者標目	*Efendiev, Messoud author SpringerLink (Online service)
件　名	LCSH:Biomathematics LCSH:Differential equations LCSH:Ecology  LCSH:Bioinformatics FREE:Mathematical and Computational Biology FREE:Differential Equations FREE:Theoretical and Statistical Ecology FREE:Computational and Systems Biology
一般注記	Preface -- 1 Auxiliary Materials -- 2 Global attractors for autonomous evolution equations -- 3 Verifying life science models containing diffusion, transport and interaction of species -- 4 Positivity criterion for systems of stochastic PDEs -- Existence and longtime behaviour of a biofilm model -- 6 The blood coagulation cascade in a perfusion experiment: example from pharmaceutical industry -- Index This book deals with the modeling, analysis and simulation of problems arising in the life sciences, and especially in biological processes. The models and findings presented result from intensive discussions with microbiologists, doctors and medical staff, physicists, chemists and industrial engineers and are based on experimental data. They lead to a new class of degenerate density-dependent nonlinear reaction-diffusion convective equations that simultaneously comprise two kinds of degeneracy: porous-medium and fast-diffusion type degeneracy. To date, this class is still not clearly understood in the mathematical literature and thus especially interesting.   The author both derives realistic life science models and their above-mentioned governing equations of the degenerate types and systematically studies these classes of equations. In each concrete case well-posedness, the dependence of solutions on boundary conditions reflecting some properties of the environment, and the large-time behavior of solutions are investigated and in some instances also studied numerically HTTP:URL=https://doi.org/10.1007/978-3-0348-0615-2

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