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

Springer Nature - Springer Mathematics and Statistics eBooks 2015 English International Available online

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Format:
Book
Author/Creator:
Müller, Johannes., Author.
Kuttler, Christina., Author.
Series:
Lecture Notes on Mathematical Modelling in the Life Sciences, 2193-4789
Language:
English
Subjects (All):
Applied mathematics.
Engineering mathematics.
Life sciences.
Applications of Mathematics.
Life Sciences, general.
Local Subjects:
Applications of Mathematics.
Life Sciences, general.
Physical Description:
1 online resource (XIII, 711 p. 239 illus., 65 illus. in color.)
Edition:
1st ed. 2015.
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Language Note:
English
Summary:
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.
Contents:
1.Compartmental Modelling
2.Mathematical Ecology
3.Structured Models in Ecology
4.Epidemiology
5.Reaction Kinetics
6.Neuronal Activity
7.Evolution
Index.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Description based on publisher supplied metadata and other sources.
ISBN:
3-642-27251-7
OCLC:
1066178415

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