Natural Complexity : : A Modeling Handbook / / Paul Charbonneau.

This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems-with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational exploratio...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter Princeton University Press Complete eBook-Package 2017
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Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2017]
©2017
Year of Publication:2017
Language:English
Series:Primers in Complex Systems ; 5
Online Access:
Physical Description:1 online resource (376 p.) :; 62 color illus. 1 halftone. 28 line illus. 19 tables.
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Table of Contents:
  • Frontmatter
  • CONTENTS
  • PREFACE
  • 1 INTRODUCTION: WHAT IS COMPLEXITY?
  • 2. ITERATED GROWTH
  • 3. AGGREGATION
  • 4. PERCOLATION
  • 5. SANDPILES
  • 6. FOREST FIRES
  • 7. TRAFFIC JAMS
  • 8. EARTHQUAKES
  • 9. EPIDEMICS
  • 10. FLOCKING
  • 11. PATTERN FORMATION
  • 12. EPILOGUE: NATURAL COMPLEXITY
  • A. BASIC ELEMENTS OF THE PYTHON PROGRAMMING LANGUAGE
  • B. PROBABILITY DENSITY FUNCTIONS
  • C. RANDOM NUMBERS AND WALKS
  • D. LATTICE COMPUTATION
  • INDEX