Natural Complexity (eBook)

A Modeling Handbook

Paul Charbonneau (Autor)

eBook Download: PDF

2017
Princeton University Press (Verlag)
978-1-4008-8549-7 (ISBN)

Infos

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.

Autor

Paul Charbonneau is professor of physics at the University of Montreal.

Produkt-Details

• Erscheint lt. Verlag: 16.5.2017
• Reihe/Serie: Primers in Complex Systems
• Reihe/Serie: Primers in Complex Systems
• Zusatzinfo: 62 color illus. 1 halftone. 28 line illus. 19 tables.
• Verlagsort: Princeton
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Naturwissenschaften ► Physik / Astronomie
• Schlagworte: Accretion • Accuracy and precision • active flockers • Agents • A New Kind of Science • Anomalous diffusion • attractor • automobile traffic • avalanches • Backtracking • Bifurcation diagram • Big O notation • box counting • Branch point • Burridge–Knopoff stick–slip model • Calculation • Cells • Cellular Automata • Chaos • Cluster labeling • clusters • complex behavior • Complexity • complex structure • Complex System • Computation • Computational Model • Computational Physics • Computer Program • Contagious diseases • Conway's Game of Life • Correlation and dependence • counterexample • criticality • Critical Phenomena • diffusion-limited aggregation • Dimension • Discrete Mathematics • discretization • Displacement (vector) • Dissipation • Earthquake forecasting • earthquakes • elastic collision • Emergence • emergent behavior • emergent structure • Epidemic spread • epidemic surges • Equation • excitable system • expected value • Expert System • Flocking • For All Practical Purposes • Forest-fire model • Forest fires • For loop • fractal clusters • fractal dimension • Fractal Geometry • Free parameter • Gaussian (software) • grayscale • growth • Gutenberg–Richter law • histogram • hodgepodge machine • idealization • infection rate • inference • Initial Condition • Instance (computer science) • Irregular matrix • iterated growth • Iteration • Johannes Kepler • K-index • Langton's ant • lattice • length scale • lichens • Line segment • Local variable • logarithm • logistic function • logistic map • Log–log plot • Magnetosphere • Monte Carlo Algorithm • Natural Complexity • natural complex system • Natural order • natural phenomena • Nature • nonlinear system • Normal distribution • number density • NumPy • Olami–Feder–Christensen model • open dissipative system • Order and disorder (physics) • pairwise • Panic • Parameter (computer programming) • passive flockers • pattern formation • percolation • percolation theory • Percolation threshold • Periodic boundary conditions • Permutation • phase transition • Planetary motion • power law • Power-law • Probability • Probability Distribution • Proportionality (mathematics) • Pseudorandomness • Pseudorandom number generator • python code • Python (programming language) • Quantity • randomness • random number generation • random sequence • Random Walk • Replication (statistics) • Repulsion • rule-based growth • Sandpile • Scale-free network • scale invariance • Segregation • Self-Organization • self-organized criticality • self-propulsion • Self-similarity • Sierpinski triangle • SIMPLE algorithm • Simple Rules • Simulation • small-world network • solar flares • Spaghetti • spatiotemporal pattern • Special case • Spiral • Spontaneous Symmetry Breaking • Stationary state • Statistical Physics • stochastic • symmetry breaking • tagging algorithm • Thermodynamic Equilibrium • Time Series • traffic jams • traffic model • Uniform distribution (discrete) • Unit square • V0 • Variable (computer science) • Variable (mathematics) • Waves • wildfire management
• ISBN-10: 1-4008-8549-3 / 1400885493
• ISBN-13: 978-1-4008-8549-7 / 9781400885497