Overview
- Explores the process of modeling complex systems in the widest sense, drawing on many examples from diverse fields
- Presents new results recently obtained in the field of modeling complex systems
- Contains new worked examples and exercises whose complete solutions are given
- Includes supplementary material: sn.pub/extras
Part of the book series: Graduate Texts in Physics (GTP)
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Table of contents (8 chapters)
Keywords
- Cellular automata
- Chaotic discrete-time models
- Drossel-Schwabl forest fire model
- Hutchinson’s time-delay model
- Kinetic growth phenomena
- Lotka-Volterra model
- Power-law distributions
- Predator-prey models
- Two-dimensional systems
- complex system
- complex systems
- complex systems text
- modeling
- simulation
- algorithm analysis and problem complexity
About this book
Reviews
From the reviews of the second edition:
“Boccara’s approach is firmly based on dynamical systems theory, differential equations, and maps, with a very solid mathematical treatment, cast at times in terms of definitions and theorems. … The book is very well suited for graduate or advanced undergraduate studies and comes with a problem and solution section at the end of every chapter. … The book covers in any case a plethora of models and is highly recommendable for everybody wishing to attain a good knowledge of classical complex system theory.” (Claudius Gros, SIAM Review, Vol. 53 (4), 2011)Authors and Affiliations
About the author
Bibliographic Information
Book Title: Modeling Complex Systems
Authors: Nino Boccara
Series Title: Graduate Texts in Physics
DOI: https://doi.org/10.1007/978-1-4419-6562-2
Publisher: Springer New York, NY
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Hardcover ISBN: 978-1-4419-6561-5Published: 21 September 2010
Softcover ISBN: 978-1-4614-2681-3Published: 05 November 2012
eBook ISBN: 978-1-4419-6562-2Published: 09 September 2010
Series ISSN: 1868-4513
Series E-ISSN: 1868-4521
Edition Number: 2
Number of Pages: XVIII, 490
Topics: Simulation and Modeling, Algorithm Analysis and Problem Complexity, Computational Mathematics and Numerical Analysis, Complex Systems, Numerical and Computational Physics, Simulation, Computational Science and Engineering