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Methods and Models in Mathematical Biology Deterministic and Stochastic Approaches /

This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models, and model-based analysis of data. The key topics of modern bio...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Müller, Johannes (Autor), Kuttler, Christina (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Lecture Notes on Mathematical Modelling in the Life Sciences,
Temas:
Acceso en línea:Texto Completo

MARC

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490 1 |a Lecture Notes on Mathematical Modelling in the Life Sciences,  |x 2193-4797 
505 0 |a 1.Compartmental Modelling -- 2.Mathematical Ecology -- 3.Structured Models in Ecology -- 4.Epidemiology -- 5.Reaction Kinetics -- 6.Neuronal Activity -- 7.Evolution -- Index. 
520 |a This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models, and model-based analysis of data. The key topics of modern biomathematics are covered: ecology, epidemiology, biochemistry, regulatory networks, neuronal networks, and population genetics. A variety of mathematical methods are introduced, ranging from ordinary and partial differential equations to stochastic graph theory and branching processes. A special emphasis is placed on the interplay between stochastic and deterministic models. 
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