Methods and Models in Mathematical Biology Deterministic and Stochastic Approaches /

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 bioma...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Müller, Johannes (Συγγραφέας), Kuttler, Christina (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Έκδοση:1st ed. 2015.
Σειρά:Lecture Notes on Mathematical Modelling in the Life Sciences,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Müller, Johannes.  |e author. 
245 1 0 |a Methods and Models in Mathematical Biology  |h [electronic resource] :  |b Deterministic and Stochastic Approaches /  |c by Johannes Müller, Christina Kuttler. 
250 |a 1st ed. 2015. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2015. 
300 |a XIII, 711 p. 239 illus., 65 illus. in color.  |b online resource. 
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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 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. 
650 0 |a Mathematics. 
650 0 |a Life sciences. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 1 4 |a Mathematics. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Life Sciences, general. 
700 1 |a Kuttler, Christina.  |e author. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783642272509 
830 0 |a Lecture Notes on Mathematical Modelling in the Life Sciences,  |x 2193-4789 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-27251-6  |z Full Text via HEAL-Link 
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950 |a Mathematics and Statistics (Springer-11649)