Mathematical Techniques: An Introduction for the Engineering, Physical, and Mathematical Sciences - Softcover

Jordan, Dominic; Smith, Peter

Softcover

ISBN 10: 0199282013 ISBN 13: 9780199282012

Publisher: OUP Oxford, 2008

Synopsis

Mathematical concepts and theories underpin much of the physical sciences and engineering. Yet maths is a subject that many students find challenging, and even intimidating - despite it being so central to their field of study.

Mathematical Techniques provides a complete course in mathematics, covering all the essential topics with which a physical sciences or engineering student should be familiar.

By breaking the subject into small, modular chapters, the book introduces and builds on concepts in a progressive, carefully-layered way - always with an emphasis on how to use the power of maths to best effect, rather than on theoretical proofs of the maths presented.

With a huge array of end of chapter problems, and new self-check questions, the fourth edition of Mathematical Techniques provides extensive opportunities for students to build their confidence in the best way possible: by using the maths for themselves.

Online Resource Centre
The Online Resource Centre features the following materials for all users of the book:

· Figures from the book in electronic format, ready to download
· A downloadable solutions manual, featuring worked solutions to all end of chapter problems
· Mathematica-based programs, relating to the Projects featured at the end of the book

About this title

Review:

Review from previous edition This textbook offers an accessible and comprehensive grounding in many of the mathematical techniques required in the early stages of an engineering or science degree and also for the routine methods needed by first and second year mathematics students. (Engineering Designer March/April 2003)

There are also significant changes in content in the opening chapter, where the foundation material has been expanded usefully. The authors do not attempt to dodge theoretical hurdles. They are careful to explain many of the less intuitive properties of functions and to highlight generalisations without becoming over abstract. (Times Higher Education Supplement, November 2002)

Thoroughly recommended. (Zentralblatt MATH, 993:2002)

About the Author:

Dominic Jordan is formerly of the Mathematics Department, Keele University, UK. Peter Smith is Emeritus Professor in the School of Computing and Mathematics, Keele University, UK.

About this edition

• Publisher: OUP Oxford
• Publication date: 2008
• ISBN 10: 0199282013
• ISBN 13: 9780199282012
• Binding: Paperback
• Edition number: 4
• Number of pages: 1008