Complexity science : the Warwick master's course
 Responsibility
 edited by Robin Ball, University of Warwick, Vassili Kolokoltsov, University of Warwick, Robert S. Mackay, University of Warwick.
 Language
 English.
 Publication
 New York : Cambridge University Press, 2013.
 Physical description
 ix, 445 pages : illustrations ; 23 cm.
 Series
 London Mathematical Society lecture note series ; 408.
Access
Available online
Math & Statistics Library
Stacks
Call number  Status 

Q175.32 .C65 C656 2013  Unknown 
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Creators/Contributors
 Contributor
 Ball, Robin, editor of compilation.
 Kolokolʹt͡sov, V. N. (Vasiliĭ Nikitich), editor of compilation.
 MacKay, Robert S., 1956 editor of compilation.
Contents/Summary
 Bibliography
 Includes bibliographical references and index.
 Contents

 Preface 1. Selforganization and emergence Mario Nicodemi, Anas Ahmad Rana, Chris Oates, YuXi Chau and Leigh Robinson 2. Complexity and chaos in dynamical systems Yulia Timofeeva 3. Interacting stochastic processes Stefan Grosskinsky 4. Statistical mechanics of complex systems Ellak Somfai 5. Numerical simulation of continuous systems Colm Connaughton 6. Stochastic methods in economics and finance Vassili Kolokoltsov 7. Spacetime phases Robert S. MacKay 8. Selfish routing Robert S. MacKay.
 (source: Nielsen Book Data)
 Publisher's Summary
 Complexity science is the study of systems with many interdependent components. Such systems  and the selforganization 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 realworld applications. It starts with the crucial concepts of selforganization 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 spacetime 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.
(source: Nielsen Book Data)
Subjects
Bibliographic information
 Publication date
 2013
 Series
 London Mathematical Society lecture note series ; 408
 Note
 Based on lectures at the University of Warwick.
 ISBN
 9781107640566 (pbk.)
 1107640563 (pbk.)