Methods and Models in Mathematical Biology
Deterministic and Stochastic Approaches
Nonfiction, Science & Nature, Mathematics, Applied, Science, Biological Sciences
| Author: | Johannes Müller, Christina Kuttler | ISBN: | 9783642272516 |
| Publisher: | Springer Berlin Heidelberg | Publication: | August 13, 2015 |
| Imprint: | Springer | Language: | English |
| Author: | Johannes Müller, Christina Kuttler |
| ISBN: | 9783642272516 |
| Publisher: | Springer Berlin Heidelberg |
| Publication: | August 13, 2015 |
| Imprint: | Springer |
| Language: | English |
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.
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.
