Authors:
- Presents comprehensive, self-contained introduction to stochastic modeling from a computational biology perspective
- Addresses broad field of topics in stochastic modeling
- Compares and contrasts different modeling approaches
- Focuses on numerical solution methods
- Includes overviews and detailed examples to discuss both theory and applications in practice
Part of the book series: Frontiers in Applied Dynamical Systems: Reviews and Tutorials (FIADS)
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Table of contents (4 chapters)
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Front Matter
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Back Matter
About this book
Reviews
Authors and Affiliations
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Zuse Institute Berlin, Berlin, Germany
Stefanie Winkelmann
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Institute of Mathematics, Freie Universität Berlin, Berlin, Germany, Zuse Institute Berlin, Berlin, Germany
Christof Schütte
Bibliographic Information
Book Title: Stochastic Dynamics in Computational Biology
Authors: Stefanie Winkelmann, Christof Schütte
Series Title: Frontiers in Applied Dynamical Systems: Reviews and Tutorials
DOI: https://doi.org/10.1007/978-3-030-62387-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-62386-9Published: 05 January 2021
eBook ISBN: 978-3-030-62387-6Published: 04 January 2021
Series ISSN: 2364-4532
Series E-ISSN: 2364-4931
Edition Number: 1
Number of Pages: XVIII, 272
Number of Illustrations: 9 b/w illustrations, 46 illustrations in colour
Topics: Dynamical Systems and Ergodic Theory, Vibration, Dynamical Systems, Control, Mathematical and Computational Biology