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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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