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02651nam a22004935i 4500 |
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978-3-642-27251-6 |
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20151201041656.0 |
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150812s2015 gw | s |||| 0|eng d |
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|a 9783642272516
|9 978-3-642-27251-6
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|a 10.1007/978-3-642-27251-6
|2 doi
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|a T57-57.97
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|a PBW
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|a MAT003000
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|a 519
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|a Müller, Johannes.
|e author.
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|a Methods and Models in Mathematical Biology
|h [electronic resource] :
|b Deterministic and Stochastic Approaches /
|c by Johannes Müller, Christina Kuttler.
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|a 1st ed. 2015.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2015.
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|a XIII, 711 p. 239 illus., 65 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Lecture Notes on Mathematical Modelling in the Life Sciences,
|x 2193-4789
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|a 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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|a 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.
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|a Mathematics.
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|a Life sciences.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Mathematics.
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|a Applications of Mathematics.
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|a Life Sciences, general.
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|a Kuttler, Christina.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642272509
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|a Lecture Notes on Mathematical Modelling in the Life Sciences,
|x 2193-4789
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|u http://dx.doi.org/10.1007/978-3-642-27251-6
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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|a Mathematics and Statistics (Springer-11649)
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