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Methods and models in mathematical b...

Muller, Johannes.

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Methods and models in mathematical biology = deterministic and stochastic approaches /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Methods and models in mathematical biology/ by Johannes Muller, Christina Kuttler.
Reminder of title:	deterministic and stochastic approaches /
Author:	Muller, Johannes.
other author:	Kuttler, Christina.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	xiii, 711 p. :ill., digital ;24 cm.
[NT 15003449]:	1.Compartmental Modelling -- 2.Mathematical Ecology -- 3.Structured Models in Ecology -- 4.Epidemiology -- 5.Reaction Kinetics -- 6.Neuronal Activity -- 7.Evolution -- Index.
Contained By:	Springer eBooks
Subject:	Biology - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-642-27251-6
ISBN:	9783642272516

Methods and models in mathematical biology = deterministic and stochastic approaches /
Muller, Johannes.

Methods and models in mathematical biologydeterministic and stochastic approaches /[electronic resource] :by Johannes Muller, Christina Kuttler. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xiii, 711 p. :ill., digital ;24 cm. - Lecture notes on mathematical modelling in the life sciences,2193-4789. - Lecture notes on mathematical modelling in the life sciences..

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 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.

ISBN: 9783642272516

Standard No.: 10.1007/978-3-642-27251-6doiSubjects--Topical Terms:

524939
Biology
--Mathematical models.

LC Class. No.: QH323.5

Dewey Class. No.: 570.15118

Methods and models in mathematical biology = deterministic and stochastic approaches /
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100 1 $a Muller, Johannes. $3 2160326
245 1 0 $a Methods and models in mathematical biology $h [electronic resource] : $b deterministic and stochastic approaches / $c by Johannes Muller, Christina Kuttler.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xiii, 711 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes on mathematical modelling in the life sciences, $x 2193-4789
505 0 $a 1.Compartmental Modelling -- 2.Mathematical Ecology -- 3.Structured Models in Ecology -- 4.Epidemiology -- 5.Reaction Kinetics -- 6.Neuronal Activity -- 7.Evolution -- Index.
520 $a 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.
650 0 $a Biology $x Mathematical models. $3 524939
650 1 4 $a Mathematics. $3 515831
650 2 4 $a Applications of Mathematics. $3 890893
650 2 4 $a Life Sciences, general. $3 890967
700 1 $a Kuttler, Christina. $3 2160327
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes on mathematical modelling in the life sciences. $3 2056095
856 4 0 $u http://dx.doi.org/10.1007/978-3-642-27251-6
950 $a Mathematics and Statistics (Springer-11649)