9781107640566 - Complexity Science: The Warwick Master's Course (London Mathematical Society Lecture Note, 408, Band 408) von Ball, Robin (6 Ergebnisse)

Zustand: Good. Volume 408. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9781107640566.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9781107640566.

Zustand: New. In.

Zustand: New. This book presents introductions to the essential mathematical aspects of complexity science, suitable for advanced undergraduate/masters-level students and researchers. Editor(s): Ball, Robin; Kolokoltsov, Vassili N.; MacKay, Robert S. Series: London Mathematical Society Lecture Note Series. Num Pages: 454 pages, 40 b/w illus. BIC Classification: PBKD; PBKS; PBWH; PBWL. Category: (P) Professional & Vocational. Dimension: 151 x 230 x 25. Weight in Grams: 656. . 2013. Paperback. . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 445 pages. 8.75x6.00x1.25 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Complexity science is the study of systems with many interdependent components. Such systems - and the self-organization and emergent phenomena they manifest - lie at the heart of many challenges of global importance. This book is a coherent introduction to the mathematical methods used to understand complexity, with plenty of examples and real-world applications. It starts with the crucial concepts of self-organization and emergence, then tackles complexity in dynamical systems using differential equations and chaos theory. Several classes of models of interacting particle systems are studied with techniques from stochastic analysis, followed by a treatment of the statistical mechanics of complex systems. Further topics include numerical analysis of PDEs, and applications of stochastic methods in economics and finance. The book concludes with introductions to space-time phases and selfish routing. The exposition is suitable for researchers, practitioners and students in complexity science and related fields at advanced undergraduate level and above.