Complexity Science

The Warwick Master's Course

Nonfiction, Science & Nature, Mathematics, Probability, Applied
Cover of the book Complexity Science by , Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781107503199
Publisher: Cambridge University Press Publication: November 21, 2013
Imprint: Cambridge University Press Language: English
Author:
ISBN: 9781107503199
Publisher: Cambridge University Press
Publication: November 21, 2013
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book Fundamentals of Linear Control by
Cover of the book Assessing the World Trade Organization by
Cover of the book Hierarchical Capitalism in Latin America by
Cover of the book The Women of Colonial Latin America by
Cover of the book The Law and Policy of the World Trade Organization by
Cover of the book Defying Convention by
Cover of the book Understanding Language through Humor by
Cover of the book Thermo-Hydraulics of Nuclear Reactors by
Cover of the book Supergravity by
Cover of the book The Sociology of Law and the Global Transformation of Democracy by
Cover of the book Buddhism, Politics and Political Thought in Myanmar by
Cover of the book The Wealth Paradox by
Cover of the book The Cambridge Handbook of Instructional Feedback by
Cover of the book Systems Biology: Simulation of Dynamic Network States by
Cover of the book Georg Wilhelm Friedrich Hegel: Encyclopedia of the Philosophical Sciences in Basic Outline, Part 1, Science of Logic by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy