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Complexity Science: The Warwick Master's Course
发布日期:2015-07-16  浏览

Complexity Science: The Warwick Master's Course

[BOOK DESCRIPTION]

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.

[TABLE OF CONTENTS]
 
Preface                                            vii
List of contributors xi
1 Self-organisation and emergence 1 (47)
Mario Nicodemi
Yu-Xi Chau
Christopher Oates
Anas Rana
Leigh Robinson
2 Complexity and chaos in dynamical systems 48 (77)
Yulia Timofeeva
3 Interacting stochastic particle systems 125(85)
Stefan Grosskinsky
4 Statistical mechanics of complex systems 210(36)
Ellak Somfai
5 Numerical simulation of continuous systems 246(70)
Colm Connaughton
6 Stochastic methods in economics and 316(71)
finance
Vassili N. Kolokoltsov
7 Space-time phases 387(40)
Robert S. MacKay
8 Selfish routing 427(14)
Robert S. MacKay
Index 441
 

 

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