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

Edition 1st ed. 2013.
Publisher (Basel : Springer Basel : Imprint: Birkhäuser)
Year 2013
Language English
Size XII, 217 p : online resource
Authors *Efendiev, Messoud author
SpringerLink (Online service)
Subjects 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
Notes 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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Springer eBooks 9783034806152
電子リソース
EB00237828

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Material Type E-Book
Classification LCC:QH323.5
LCC:QH324.2-324.25
DC23:570,285
ID 4000116618
ISBN 9783034806152

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