ISBN: 9780691170350 - natural complexity: a modeling handbook (primers in complex systems) (9 Ergebnisse)

Paperback. Zustand: Good. 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.…

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. 376.

Zustand: New. Series: Primers in Complex Systems. Num Pages: 376 pages, 62 color illus. 1 halftone. 28 line illus. 19 tables. BIC Classification: PH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 216 x 140. Weight in Grams: 63. . 2017. Paperback. . . . . Books ship from the US and Ireland. …

Zustand: New. In English.

Zustand: New. &Uumlber den AutorPaul Charbonneau is professor of physics at the University of Montreal.KlappentextrnrnThis book provides a short, hands-on introduction to the science of complexity using simple computational.

Taschenbuch. Zustand: Neu. Neuware - 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.…