2008. 4th Edition. Paperback. Mathematical Techniques provides a complete course in mathematics, covering all the essential topics with which a physical sciences or engineering student should be familiar. It introduces and builds on concepts in a progressive, carefully-layered way, and features over 2000 end of chapter problems, plus additional self-check questions. Num Pages: 1008 pages, 500 figures. BIC Classification: PBW. Category: (U) Tertiary Education (US: College). Dimension: 246 x 189 x 48. Weight in Grams: 1850. . . . . . Books ship from the US and Ireland.

N� de ref. del art�culo V9780199282012

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Detalles bibliogr�ficos

T�tulo: Mathematical Techniques: An Introduction for the Engineering, Physical, and Mathematical Sciences
Editor: Oxford University Press
Fecha de publicaci�n: 2008
Idioma: Ingl�s
ISBN 10: 0199282013
ISBN 13: 9780199282012
Encuadernaci�n: Encuadernaci�n de tapa blanda
Edici�n: 4� Edici�n
Estado: New

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Sinopsis

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 Resources
The online resources feature 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

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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.

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