Weak Chaos and Quasi-Regular Patterns (Cambridge Nonlinear Science Series, Series Number 1)

Zaslavskiî, Georgin Moiseevich; Sagdeev, R. Z.; Usikov, D. A.; Chernikov, A. A.

ISBN 10: 0521373174 / ISBN 13: 9780521373173

Published by Cambridge University Press, 1991

About this Item

The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.

Seller Inventory # BVV.0521373174.G

Bibliographic Details

• Title: Weak Chaos and Quasi-Regular Patterns (Cambridge Nonlinear Science Series, Series Number 1)
• Publisher: Cambridge University Press
• Publication Date: 1991
• Language: English
• ISBN 10: 0521373174
• ISBN 13: 9780521373173
• Binding: Hardcover
• Condition: good

About this title

Synopsis

This book presents the fundamentals of chaos theory in conservative systems and provides a systematic study of the theory of transitional states of physical systems that lie between deterministic and chaotic behavior. The authors begin with the general concepts of Hamiltonian dynamics, stabililty, and chaos, and then discuss the theory of stochastic layers and webs and the numerous applications of this theory, particularly to pattern symmetry. Throughout, they are meticulous in providing a detailed presentation of the material, which enables the reader to learn the necessary computational methods and to apply them to other problems. The inclusion of computer graphics will aid understanding and the final section of the book contains a collection of patterns in art and living nature that will fascinate.

Book Description

This book, the first in the Cambridge Nonlinear Science Series, presents the fundamentals of chaos theory in conservative systems, providing a systematic study of the theory of transitional states of physical systems which lie between deterministic and chaotic behaviour.