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Author Charbonneau, Paul, 1961- author
Title Natural complexity : a modeling handbook / Paul Charbonneau
Imprint Princeton, New Jersey ; Oxford : Princeton University Press, [2017]
book jacket
 人文社會聯圖  Q175.32.C65 C43 2017    DUE 08-20-19    30610020583803
Descript xiv, 355 pages : illustrations (some color) ; 22 cm
text txt rdacontent
unmediated n rdamedia
volume nc rdacarrier
Series Primers in complex systems
Note "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"-- Source other than Library of Congress
Part 1. What Is complexity?: Complexity Is not simple -- Randomness Is not complexity -- Chaos Is not complexity -- Open dissipative systems -- Natural complexity -- About the computer programs listed in this book -- Part 2. Iterated growth: Cellular automata in one spatial dimension -- Cellular automata in two spatial dimensions -- A zoo of 2-D structures from simple rules -- Agents, ants, and highways -- Emergent structures and behaviors -- Part 3. Aggregation: Diffusion-limited aggregation -- Numerical implementation -- A representative simulation -- A zoo of aggregates -- Fractal geometry -- Self-similarity and scale invariance -- Part 4. Percolation: Percolation in one dimension -- Percolation in two dimensions -- Cluster sizes -- Fractal clusters -- Is it really a power law? -- Criticality -- Part 5. Sandpiles: Model definition -- Numerical implementation -- A representative simulation -- Measuring avalanches -- Self-organized criticality -- Part 6. Forest fires: Model definition -- Numerical implementation -- A representative simulation -- Model behavior -- Back to criticality -- The pros and cons of wildfire management -- Part 7. Traffic jams: Model definition -- Numerical implementation -- A representative simulation -- Model behavior -- Traffic jams as avalanches -- Car traffic as a SOC system? -- Part 8. Earthquakes: The Burridge-Knopoff model -- Numerical implementation -- A representative simulation -- Model behavior -- Predicting real earthquakes -- Part 9. Epidemics: Model definition -- Numerical implementation -- A representative simulation -- Model behavior -- Epidemic self-organization -- Small-world networks -- Part 10. Flocking -- Model definition -- Numerical implementation -- A behavioral zoo -- Segregation of active and passive flockers -- Why you should never panic -- Part 11. Pattern formation: Excitable systems -- The hodgepodge machine -- Numerical implementation -- Waves, spirals, spaghettis, and cells -- Spiraling out -- Spontaneous pattern formation -- Part 12. Epilogue: A hike on slickrock -- Johannes Kepler and the unity of nature -- From lichens to solar flares -- Emergence and natural order -- Into the abyss: your turn -- Part A. Basic elements of the Python programming language: Code structure -- Variables and arrays -- Operators -- Loop constructs -- Conditional constructs -- Input/output and graphics -- Part B. Probability density functions: A simple example -- Continuous PDFs -- Some mathematical properties of power-law PDFs -- Cumulative PDFs -- PDFs with logarithmic bin sizes -- Better fits to power-law PDFs -- Part C. Random Numbers and walks: Random deviates -- The classical random walk -- Random walk and diffusion -- Part D. Lattice computation: Nearest-neighbor templates -- Periodic boundary conditions -- Random walks on lattices
Includes bibliographical references and index
Subject Complexity (Philosophy)
Physics -- Methodology
Computational complexity
Biocomplexity. fast (OCoLC)fst01737618
Complexity (Philosophy) fast (OCoLC)fst00871602
Computational complexity. fast (OCoLC)fst00871991
Physics -- Methodology. fast (OCoLC)fst01063075
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