Natural complexity :

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 explorati...

全面介绍

书目详细资料
主要作者: Charbonneau, Paul
格式: Printed Book
出版: Princeton Princeton university press 2017
丛编:Primers in complex systems
主题:
Complexity (Philosophy)
Physics
Computational complexity.
Biocomplexity.
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490 1 |a Primers in complex systems 
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.-- 
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650 0 |a Physics 
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650 7 |a Computational complexity. 
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