Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches by Johannes MüllerMethods and Models in Mathematical Biology: Deterministic and Stochastic Approaches by Johannes Müller

Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches

byJohannes Müller, Christina Kuttler

Hardcover | August 20, 2015

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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.

Johannes Müller's research interest lies in the interface of mathematics and life sciences. In particular his research is concerned with the theory and biological applications of dynamical systems and branching processes. He studied in Karlsruhe and Tübingen, where he completed his habilitation in 2001. After stays in Utrecht and Colog...
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Title:Methods and Models in Mathematical Biology: Deterministic and Stochastic ApproachesFormat:HardcoverDimensions:711 pagesPublished:August 20, 2015Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642272509

ISBN - 13:9783642272509

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Table of Contents

1.Compartmental Modelling.- 2.Mathematical Ecology.- 3.Structured Models in Ecology.- 4.Epidemiology.- 5.Reaction Kinetics.- 6.Neuronal Activity.- 7.Evolution.- Index.

Editorial Reviews

"The core of the book is based on a two-semester graduate course on the mathematical modeling of biological systems. In my opinion, the book is targeted at graduate students with a strong mathematics background. . The book has a very nice diversity of topics in biology and applied dynamical systems. . There is a nice bank of exercises, at the right level for first to second year graduate students." (Zachary P. Kilpatrick, SIAM Review, Vol. 59 (1), March, 2017)