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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100 1 |a Charbonneau, Paul,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Natural Complexity :  |b A Modeling Handbook /  |c Paul Charbonneau. 
264 1 |a Princeton, NJ :   |b Princeton University Press,   |c [2017] 
264 4 |c ©2017 
300 |a 1 online resource (376 p.) :  |b 62 color illus. 1 halftone. 28 line illus. 19 tables. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 0 |a Primers in Complex Systems ;  |v 5 
505 0 0 |t Frontmatter --   |t CONTENTS --   |t PREFACE --   |t 1 INTRODUCTION: WHAT IS COMPLEXITY? --   |t 2. ITERATED GROWTH --   |t 3. AGGREGATION --   |t 4. PERCOLATION --   |t 5. SANDPILES --   |t 6. FOREST FIRES --   |t 7. TRAFFIC JAMS --   |t 8. EARTHQUAKES --   |t 9. EPIDEMICS --   |t 10. FLOCKING --   |t 11. PATTERN FORMATION --   |t 12. EPILOGUE: NATURAL COMPLEXITY --   |t A. BASIC ELEMENTS OF THE PYTHON PROGRAMMING LANGUAGE --   |t B. PROBABILITY DENSITY FUNCTIONS --   |t C. RANDOM NUMBERS AND WALKS --   |t D. LATTICE COMPUTATION --   |t INDEX 
506 0 |a restricted access  |u http://purl.org/coar/access_right/c_16ec  |f online access with authorization  |2 star 
520 |a 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 explorations suggested at the end of each chapter, readers very quickly develop an understanding of how complex structures and behaviors can emerge in natural phenomena as diverse as avalanches, forest fires, earthquakes, chemical reactions, animal flocks, and epidemic diseases.Natural Complexity provides the necessary topical background, complete source codes in Python, and detailed explanations for all computational models. Ideal for undergraduates, beginning graduate students, and researchers in the physical and natural sciences, this unique handbook requires no advanced mathematical knowledge or programming skills and is suitable for self-learners with a working knowledge of precalculus and high-school physics.Self-contained and accessible, Natural Complexity enables readers to identify and quantify common underlying structural and dynamical patterns shared by the various systems and phenomena it examines, so that they can form their own answers to the questions of what natural complexity is and how it arises. 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) 
650 0 |a Biocomplexity. 
650 0 |a Complexity (Philosophy). 
650 0 |a Computational complexity. 
650 0 |a Physics  |x Methodology. 
650 7 |a SCIENCE / Physics / Mathematical & Computational.  |2 bisacsh 
653 |a Burridge-Knopoff stick-slip model. 
653 |a Gutenberg-Richter law. 
653 |a Johannes Kepler. 
653 |a Olami-Feder-Christensen model. 
653 |a Python code. 
653 |a accretion. 
653 |a active flockers. 
653 |a agents. 
653 |a automobile traffic. 
653 |a avalanches. 
653 |a cells. 
653 |a cellular automata. 
653 |a chaos. 
653 |a clusters. 
653 |a complex behavior. 
653 |a complex structure. 
653 |a complex system. 
653 |a complexity. 
653 |a computational model. 
653 |a computer program. 
653 |a contagious diseases. 
653 |a criticality. 
653 |a diffusion-limited aggregation. 
653 |a earthquake forecasting. 
653 |a earthquakes. 
653 |a emergence. 
653 |a emergent behavior. 
653 |a emergent structure. 
653 |a epidemic spread. 
653 |a epidemic surges. 
653 |a excitable system. 
653 |a flocking. 
653 |a forest fires. 
653 |a fractal clusters. 
653 |a fractal geometry. 
653 |a growth. 
653 |a hodgepodge machine. 
653 |a infection rate. 
653 |a iterated growth. 
653 |a lattice. 
653 |a lichens. 
653 |a natural complex system. 
653 |a natural complexity. 
653 |a natural order. 
653 |a natural phenomena. 
653 |a nature. 
653 |a open dissipative system. 
653 |a panic. 
653 |a passive flockers. 
653 |a pattern formation. 
653 |a percolation threshold. 
653 |a percolation. 
653 |a phase transition. 
653 |a planetary motion. 
653 |a power-law. 
653 |a random walk. 
653 |a randomness. 
653 |a repulsion. 
653 |a rule-based growth. 
653 |a sandpile. 
653 |a scale invariance. 
653 |a segregation. 
653 |a self-organization. 
653 |a self-organized criticality. 
653 |a self-propulsion. 
653 |a self-similarity. 
653 |a simple rules. 
653 |a small-world network. 
653 |a solar flares. 
653 |a spaghetti. 
653 |a spatiotemporal pattern. 
653 |a spiral. 
653 |a tagging algorithm. 
653 |a traffic jams. 
653 |a waves. 
653 |a wildfire management. 
773 0 8 |i Title is part of eBook package:  |d De Gruyter  |t Princeton University Press Complete eBook-Package 2017  |z 9783110543322 
776 0 |c print  |z 9780691170350 
856 4 0 |u https://doi.org/10.1515/9781400885497?locatt=mode:legacy 
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