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Natural complexity : a Modeling handbook

By: Charbonneau, Paul.
Material type: materialTypeLabelBookSeries: Primers in complex systems. Publisher: New Jersey: Princeton University Press, 2017Description: xiv, 355 p. ill. 22 cm.ISBN: 9780691170350.Subject(s): Complexity - Philosophy | Physics - Methodology | Computational complexity | BiocomplexityDDC classification: 501 Summary: This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems&​#x2014;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.
List(s) this item appears in: A Very Short Introduction
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This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems&​#x2014;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.

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