Methods and Models in Mathematical Biology [electronic resource] : Deterministic and Stochastic Approaches / by Johannes Müller, Christina Kuttler.

By:

Müller, Johannes [author.]

Contributor(s):

Series: Lecture Notes on Mathematical Modelling in the Life SciencesPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015Edition: 1st ed. 2015Description: XIII, 711 p. 239 illus., 65 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783642272516

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

519 23

LOC classification:

T57-57.97

Online resources:

Click here to access online

Contents:

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

In: Springer eBooksSummary: 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.

Item type:

eBooks

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

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.