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Gratis Ebook herunterladen Natural Complexity: A Modeling Handbook (Primers in Complex Systems, Band 5)

Gratis Ebook herunterladen Natural Complexity: A Modeling Handbook (Primers in Complex Systems, Band 5)

Bei Erhalt Natural Complexity: A Modeling Handbook (Primers In Complex Systems, Band 5) als Analysequelle, können Sie die einfachen Mittel erhalten hervorrufen oder es. Es erfordert auch für Sie als Download holen und die Soft-Daten dieser genannten Veröffentlichung von Link installieren, die wir hier gegeben haben. Wenn jeder eigentlich, dass tolles Gefühl hat, diese Veröffentlichung zu lesen, sie oder der Willen immer davon ausgehen, dass Buch Check-out wird sie sicherlich immer führt weit bessere Lage zu bekommen. Überall dort, wo das Ziel immer viel besser ist, das ist genau das, was wahrscheinlich erhalten Sie, wenn bei den Ausgaben freie Zeiten, diese Veröffentlichung als eine Ihrer Analyse Quellen auswählen.

Natural Complexity: A Modeling Handbook (Primers in Complex Systems, Band 5)

Natural Complexity: A Modeling Handbook (Primers in Complex Systems, Band 5)


Natural Complexity: A Modeling Handbook (Primers in Complex Systems, Band 5)


Gratis Ebook herunterladen Natural Complexity: A Modeling Handbook (Primers in Complex Systems, Band 5)

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Natural Complexity: A Modeling Handbook (Primers in Complex Systems, Band 5)

Pressestimmen

"In this delightfully engaging introduction to complexity, Charbonneau reveals how a bewildering array of complicated structures emerge naturally from exceedingly simple rules of behavior and engagement. More than that, however, he provides the necessary tools and encouragement for readers to continue to explore this extraordinary landscape on their own and uncover its hidden mysteries."--Thomas J. Bogdan, former president of the University Corporation for Atmospheric Research"What a fascinating introduction into the world of nonlinear phenomena. Paul Charbonneau is taking us on a roller-coaster ride through sandpile avalanches, forest fires, and earthquakes."--Markus Aschwanden, author of Self-Organized Criticality in Astrophysics"The appeal of this book is twofold. It provides practical examples of computational modeling. It also motivates readers by detailing breathtaking systems in the real world. The combination is winning."--Aimee Norton, Stanford University"With Natural Complexity, Charbonneau boils the hard science of nature down to simple concepts and expressions that are both intuitive and informative. A must-read for any curious mind."--Scott McIntosh, director of the High Altitude Observatory, National Center for Atmospheric Research"Charbonneau's writing style is enthusiastic and clear."--Sidney Redner, coauthor of A Kinetic View of Statistical Physics"Natural Complexity takes readers to new frontiers in the physics of complexity."--Simon DeDeo, Carnegie Mellon University and the Santa Fe Institute"This book is a clear introduction to experimentation with complex systems that will appeal to multiple audiences. . . . It will serve as an example of pedagogical clarity and skill for anyone responsible for teaching the physical sciences."---H. Van Dyke Parunak, Computing Reviews"There is a certain enthusiasm distilled by the author all through the book, transporting the reader on a journey of discovery of a chosen set of complex systems, from where diverse insights into complexity science can be grasped. . . . Natural Complexity constitutes an excellent introduction to some perspectives about complexity science that might be appealing to a broad range of readers."---Miguel A. F. Sanjuán, Contemporary Physics

Buchrückseite

"In this delightfully engaging introduction to complexity, Charbonneau reveals how a bewildering array of complicated structures emerge naturally from exceedingly simple rules of behavior and engagement. More than that, however, he provides the necessary tools and encouragement for readers to continue to explore this extraordinary landscape on their own and uncover its hidden mysteries."--Thomas J. Bogdan, former president of the University Corporation for Atmospheric Research"What a fascinating introduction into the world of nonlinear phenomena. Paul Charbonneau is taking us on a roller-coaster ride through sandpile avalanches, forest fires, and earthquakes."--Markus Aschwanden, author of Self-Organized Criticality in Astrophysics"The appeal of this book is twofold. It provides practical examples of computational modeling. It also motivates readers by detailing breathtaking systems in the real world. The combination is winning."--Aimee Norton, Stanford University"With Natural Complexity, Charbonneau boils the hard science of nature down to simple concepts and expressions that are both intuitive and informative. A must-read for any curious mind."--Scott McIntosh, director of the High Altitude Observatory, National Center for Atmospheric Research"Charbonneau's writing style is enthusiastic and clear."--Sidney Redner, coauthor of A Kinetic View of Statistical Physics"Natural Complexity takes readers to new frontiers in the physics of complexity."--Simon DeDeo, Carnegie Mellon University and the Santa Fe Institute

Alle Produktbeschreibungen

Produktinformation

Taschenbuch: 376 Seiten

Verlag: Princeton University Press (16. Mai 2017)

Sprache: Englisch

ISBN-10: 0691170355

ISBN-13: 978-0691170350

Größe und/oder Gewicht:

14 x 2,8 x 21,3 cm

Durchschnittliche Kundenbewertung:

Schreiben Sie die erste Bewertung

Amazon Bestseller-Rang:

Nr. 434.425 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)

The book introduces you to real-life complex systems such as earthquakes, forest fires, traffic jams, etc. The author also includes Python codes for modelling such phenomena.

Quite and great shape

This is probably the most entertaining book I've read since Stephen Wolfram's "A New Kind of Science", and that was quite long ago (2003?). Paul Charbonneau goes much further and introduces concepts - such as self-similarity, criticality, self-organized criticality, and power laws - using illustrative examples that are explained in surprisingly clear and simple terms. On top of this there is the actual code (in Python) that one can use to explore complexity in a variety of scenarios. And finally, the sense of humour :)Now that I'm choosing a place for this book on my shelf, I realize that it is quite different from the other technical books I have there. Different in a very positive way. I wish there were more books like this.

Anyone with an undergraduate science and math background can work through this beautifully written book, do the many clear and explicit examples, and come away with a professional-level understanding of how complexity emerges from simple rules. The chapters cover all of the key "hydrogen-atom" success stories of this field. It is clear that the author is also a brilliant teacher. In between the lines, the alert reader will also find many implicit lessons about effective visual language from the many illustrations.

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