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Methods and Models in Mathematical Biology : Deterministic and Stochastic Approaches / by Johannes Müller, Christina Kuttler

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes on Mathematical Modelling in the Life Sciences | SpringerLink BücherPublisher: Berlin, Heidelberg : Springer, 2015Edition: 1st ed. 2015Description: Online-Ressource (XIII, 711 p. 239 illus., 65 illus. in color, online resource)ISBN:
  • 9783642272516
Subject(s): Additional physical formats: 9783642272509 | Erscheint auch als: Methods and models in mathematical biology. Druck-Ausgabe Heidelberg : Springer, 2015. xiii, 711 SeitenDDC classification:
  • 519
MSC: MSC: *92-01 | 92D25 | 92D40 | 60J80 | 60J28 | 92D30 | 92C45 | 92C20 | 92D15RVK: RVK: WC 7000LOC classification:
  • T57-57.97
DOI: DOI: 10.1007/978-3-642-27251-6Online resources:
Contents:
1.Compartmental Modelling2.Mathematical Ecology -- 3.Structured Models in Ecology -- 4.Epidemiology -- 5.Reaction Kinetics -- 6.Neuronal Activity -- 7.Evolution -- Index.
Summary: 1.Compartmental Modelling -- 2.Mathematical Ecology -- 3.Structured Models in Ecology -- 4.Epidemiology -- 5.Reaction Kinetics -- 6.Neuronal Activity -- 7.Evolution -- IndexSummary: 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 modelsPPN: PPN: 165788516XPackage identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SXMS | ZDB-2-SMA
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