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An Introduction to Complex Systems

Society, Ecology, and Nonlinear Dynamics

  • Textbook
  • © 2017

Overview

  • Offers an interdisciplinary approach, aimed at connecting the dots between the underlying physics/mathematics and macroscopic world-scale phenomena
  • Focusses on complex systems, with chapters dedicated to the individual components of interacting, large scale, nonlinear and non-Gaussian systems
  • Provides ecologically or socially motivated case studies at the beginning and end of each chapter to offer context and motivation to the technical contents
  • Enriched with dozens of examples, boxed inserts and formulas, as well as nearly 200 illustrations
  • Over 100 end-of-chapter problems spanning the full range of conceptual, analytical, computational, reading/essay and policy related questions

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Table of contents (13 chapters)

Keywords

About this book

This undergraduate text explores a variety of large-scale phenomena - global warming, ice ages, water, poverty - and uses these case studies as a motivation to explore nonlinear dynamics, power-law statistics, and complex systems. Although the detailed mathematical descriptions of these topics can be challenging, the consequences of a system being nonlinear, power-law, or complex are in fact quite accessible. This book blends a tutorial approach to the mathematical aspects of complex systems together with a complementary narrative on the global/ecological/societal implications of such systems.

Nearly all engineering undergraduate courses focus on mathematics and systems which are small scale, linear, and Gaussian. Unfortunately there is not a single large-scale ecological or social phenomenon that is scalar, linear, and Gaussian. This book offers students insights to better understand the large-scale problems facing the world and to realize that these cannot be solved by a single, narrow academic field or perspective.

Instead, the book seeks to emphasize understanding, concepts, and ideas, in a way that is mathematically rigorous, so that the concepts do not feel vague, but not so technical that the mathematics get in the way. The book is intended for undergraduate students in a technical domain such as engineering, computer science, physics, mathematics, and environmental studies.



Authors and Affiliations

  • Faculty of Engineering, University of Waterloo, Waterloo, Canada

    Paul Fieguth

About the author

Paul Fieguth is a professor in Systems Design Engineering at the University of Waterloo in Ontario, Canada. He has longstanding research interests in statistical signal and image processing, hierarchical algorithms, data fusion, and the interdisciplinary applications of such methods, particularly to problems in medical imaging, remote sensing, and scientific imaging. With Springer he has already published a successful book on Statistical Image Processing and Multidimensional Modeling (2011).

Bibliographic Information

  • Book Title: An Introduction to Complex Systems

  • Book Subtitle: Society, Ecology, and Nonlinear Dynamics

  • Authors: Paul Fieguth

  • DOI: https://doi.org/10.1007/978-3-319-44606-6

  • Publisher: Springer Cham

  • eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)

  • Copyright Information: Springer International Publishing Switzerland 2017

  • Softcover ISBN: 978-3-319-83093-3Published: 29 April 2018

  • eBook ISBN: 978-3-319-44606-6Published: 26 November 2016

  • Edition Number: 1

  • Number of Pages: XII, 346

  • Number of Illustrations: 65 b/w illustrations, 178 illustrations in colour

  • Topics: Complex Systems, Complexity, Complex Systems, Earth System Sciences, Climate Change, Game Theory

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