Methods and Models in Mathematical Biology / Lecture Notes on Mathematical Modelling in the Life Sciences (PDF)
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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.
Christina Kuttler is a professor at the Technical University Munich, her work focusing on "Mathematics in Life Sciences". She previously worked at the University of Tübingen and at the Helmholtz Center Munich, Institute for Biomathematics and Biometry, as part of the interdisciplinary project on molecular interactions in the rhizosphere. Her main expertise is in the field of biomathematics, particularly the mathematical modelling of biological processes using ordinary and partial differential equations. A main project deals with the modelling of bacterial communications, in which intracellular regulation mechanisms and diffusion processes are considered. Her primary goal is a better understanding of the underlying mechanisms and provide a quantitative description.
- Autoren: Johannes Müller , Christina Kuttler
- 2015, 1st ed. 2015, 711 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3642272517
- ISBN-13: 9783642272516
- Erscheinungsdatum: 13.08.2015
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- Größe: 11 MB
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“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)
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