Mathematical Analysis in Engineering: How to Use the Basic Tools

Chiang C. Mei

ISBN 10: 0521587980 / ISBN 13: 9780521587983

Published by Cambridge Univ Pr, 1997

About this Item

479 pages. 9.25x6.25x1.25 inches. In Stock. This item is printed on demand.

Seller Inventory # __0521587980

Bibliographic Details

• Title: Mathematical Analysis in Engineering: How to Use the Basic Tools
• Publisher: Cambridge Univ Pr
• Publication Date: 1997
• Language: English
• ISBN 10: 0521587980
• ISBN 13: 9780521587983
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

Rather than follow the traditional approach of stating mathematical principles and then citing some physical examples for illustration, Professor Mei puts applications at center stage. Beginning with the problem, he finds the mathematics that suits it and closes with a mathematical analysis of the physics. He selects physical examples primarily from applied mechanics. Among topics included are Fourier series, separation of variables, Bessel functions, Fourier and Laplace transforms, Green's functions and complex function theories. Also covered are advanced topics such as Riemann-Hilbert techniques, perturbation methods, and practical topics such as symbolic computation. Engineering students, who often feel more awe than confidence and enthusiasm toward applied mathematics, will find this approach to mathematics goes a long way toward a sharper understanding of the physical world.

Book Description

This user-friendly text shows how to use mathematics to formulate, solve, and analyze physical problems. Rather than follow the traditional approach of stating mathematical principles and then citing physical examples for illustration, the book puts applications at center stage; that is, it starts with the problem, finds the mathematics that suits it, and ends with a mathematical analysis of the physics. Physical examples are selected primarily from applied mechanics, and they range from the simple to the more sophisticated.Engineering students, who often feel more awe than confidence and enthusiasm toward applied mathematics, will appreciate and learn from this approach.