Methods and models in mathematical biology : deterministic and stochastic approaches
Author(s)
Bibliographic Information
Methods and models in mathematical biology : deterministic and stochastic approaches
（Lecture notes on mathematical modelling in the life sciences）
Springer, c2015
- : pbk
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Note
Includes bibliographical references (p. 697-705) and index
Description and Table of Contents
Description
This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universitat Munchen. 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.
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.
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