Authors:
- Introduces and describes a new approach for modelling certain types of complex dynamical systems
- Self-contained presentation and introductory level
- Useful as advanced text and as self-study guide
- Includes supplementary material: sn.pub/extras
Part of the book series: Understanding Complex Systems (UCS)
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Table of contents (10 chapters)
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Front Matter
About this book
Authors and Affiliations
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in the Sciences, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
Sven Banisch
Bibliographic Information
Book Title: Markov Chain Aggregation for Agent-Based Models
Authors: Sven Banisch
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-319-24877-6
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-24875-2Published: 05 January 2016
Softcover ISBN: 978-3-319-79691-8Published: 30 March 2018
eBook ISBN: 978-3-319-24877-6Published: 21 December 2015
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XIV, 195
Number of Illustrations: 65 b/w illustrations, 18 illustrations in colour
Topics: Applications of Nonlinear Dynamics and Chaos Theory, Complex Systems, Mathematical Methods in Physics, Complexity