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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...

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Detalles Bibliográficos
Autores principales: Müller, Johannes, Kuttler, Christina
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-27251-6
http://cds.cern.ch/record/2050799
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author Müller, Johannes
Kuttler, Christina
author_facet Müller, Johannes
Kuttler, Christina
author_sort Müller, Johannes
collection CERN
description 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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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Springer
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spelling cern-20507992021-04-21T20:05:25Zdoi:10.1007/978-3-642-27251-6http://cds.cern.ch/record/2050799engMüller, JohannesKuttler, ChristinaMethods and models in mathematical biology: deterministic and stochastic approachesMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:20507992015
spellingShingle Mathematical Physics and Mathematics
Müller, Johannes
Kuttler, Christina
Methods and models in mathematical biology: deterministic and stochastic approaches
title Methods and models in mathematical biology: deterministic and stochastic approaches
title_full Methods and models in mathematical biology: deterministic and stochastic approaches
title_fullStr Methods and models in mathematical biology: deterministic and stochastic approaches
title_full_unstemmed Methods and models in mathematical biology: deterministic and stochastic approaches
title_short Methods and models in mathematical biology: deterministic and stochastic approaches
title_sort methods and models in mathematical biology: deterministic and stochastic approaches
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-642-27251-6
http://cds.cern.ch/record/2050799
work_keys_str_mv AT mullerjohannes methodsandmodelsinmathematicalbiologydeterministicandstochasticapproaches
AT kuttlerchristina methodsandmodelsinmathematicalbiologydeterministicandstochasticapproaches