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Life Sciences | Mathematical Models in Biology - Deterministic and Stochastic Approaches

Mathematical Models in Biology

Deterministic and Stochastic Approaches

Müller, Johannes, Kuttler, Christina

2015, 480 p.

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ISBN 978-3-642-27251-6

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  • The mathematical foundations are included
  • This manuscript is intended to give a survey of the standard models
  • This book includes current topics that are less present in the classical textbooks

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.

Content Level » Graduate

Keywords » Dynamical systems and stochastic processes - Mathematical Biology - Modeling

Related subjects » Applications - Life Sciences

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Distribution rights for India: Scientific International, New Delhi, India

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