Nonlinear Physics with MAPLE for Scientists and Engineers (2nd Edition)

Enns, Richard H. & George C. McFGuire

ISBN 10: 376434119X / ISBN 13: 9783764341190

Published by Boston : Birkhäuser, 2000

About this Item

Original boards, illustrated with numerous equations, graphs and diagrams, 8vo.; Boards slightly finger soiled, few small spots to top edge and side edge.

Seller Inventory # 351220-ZB12

Bibliographic Details

• Title: Nonlinear Physics with MAPLE for Scientists and Engineers (2nd Edition)
• Publisher: Boston : Birkhäuser
• Publication Date: 2000
• Language: English
• ISBN 10: 376434119X
• ISBN 13: 9783764341190
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: Good

About this title

Synopsis

Philosophy of the Text This text presents an introductory survey of the basic concepts and applied mathematical methods of nonlinear science as well as an introduction to some simple related nonlinear experimental activities. Students in engineering, phys­ ics, chemistry, mathematics, computing science, and biology should be able to successfully use this book. In an effort to provide the reader with a cutting edge approach to one of the most dynamic, often subtle, complex, and still rapidly evolving, areas of modern research-nonlinear physics-we have made extensive use of the symbolic, numeric, and plotting capabilities of the Maple software sys­ tem applied to examples from these disciplines. No prior knowledge of Maple or computer programming is assumed, the reader being gently introduced to Maple as an auxiliary tool as the concepts of nonlinear science are developed. The CD-ROM provided with this book gives a wide variety of illustrative non­ linear examples solved with Maple. In addition, numerous annotated examples are sprinkled throughout the text and also placed on the CD. An accompanying set of experimental activities keyed to the theory developed in Part I of the book is given in Part II. These activities allow the student the option of "hands on" experience in exploring nonlinear phenomena in the REAL world. Although the experiments are easy to perform, they give rise to experimental and theoretical complexities which are not to be underestimated.