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Methods and models in mathematical b...

Kuttler, Christina.

Methods and models in mathematical biologydeterministic and stochastic approaches /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Methods and models in mathematical biologyby 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.
Contained By:	Springer eBooks
Subject:	BiologyMathematical models.
Online resource:	http://dx.doi.org/10.1007/978-3-642-27251-6
ISBN:	9783642272516$q(electronic bk.)

Methods and models in mathematical biologydeterministic 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$q(electronic bk.)

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

206136
Biology
--Mathematical models.

LC Class. No.: QH323.5

Dewey Class. No.: 570.15118

Methods and models in mathematical biologydeterministic and stochastic approaches /
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245 1 0 $a Methods and models in mathematical biology $h [electronic resource] : $b deterministic and stochastic approaches / $c by Johannes Muller, Christina Kuttler.
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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.
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