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Natural complexity : = a modeling ha...
~
Charbonneau, Paul, (1961-)
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Natural complexity : = a modeling handbook /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Natural complexity :/ Paul Charbonneau.
其他題名:
a modeling handbook /
作者:
Charbonneau, Paul,
出版者:
Princeton, NJ :Princeton University Press, : c2017.,
面頁冊數:
xiv, 355 p. :ill. (some col.) ;22 cm.
標題:
Biocomplexity. -
ISBN:
9780691170350
Natural complexity : = a modeling handbook /
Charbonneau, Paul,1961-
Natural complexity :
a modeling handbook /Paul Charbonneau. - Princeton, NJ :Princeton University Press,c2017. - xiv, 355 p. :ill. (some col.) ;22 cm. - Primers in complex systems. - Primers in complex systems..
Includes bibliographical references and index.
Introduction : what Is 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 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 detailedexplanations for all computational models.
ISBN: 9780691170350US49.50
LCCN: 2016953537Subjects--Topical Terms:
848728
Biocomplexity.
LC Class. No.: Q175.32.C65 / .C43 2017
Dewey Class. No.: 501
Natural complexity : = a modeling handbook /
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Introduction : what Is complexity? --
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Iterated growth --
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Aggregation --
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Forest fires --
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Traffic jams --
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Flocking --
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Probability density functions --
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Lattice computation.
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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--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 detailedexplanations for all computational models.
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