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Mathematical Techniques: An Introduction for the Engineering, Physical, and Mathematical Sciences / Edition 4

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More About This Textbook

Overview

Mathematical concepts and theories underpin engineering and many of the physical sciences. Yet many engineering and science students find math challenging and even intimidating.

The fourth edition of 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 using math to the best effect, rather than relying on theoretical proofs.

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 exercise and enhance their mathematical knowledge and skills.

Distinctive Features
- Over 500 worked out examples offer the reader valuable guidance when tackling problems.
- Self-check questions and over 2,000 end of chapter problems provide extensive opportunities for students to actively master the concepts presented.
- A series of projects at the end of the book encourage students to use mathematical software to further their understanding.
- An Online Resource Centre features additional resources for lecturers and students, including figures from the book in electronic format, ready to download; a downloadable solutions manual featuring worked solutions to all end of chapter problems (password protected); and mathematical-based programs relating to the projects featured at the end of the book .

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Product Details

  • ISBN-13: 9780199282012
  • Publisher: Oxford University Press, USA
  • Publication date: 5/29/2008
  • Edition description: New Edition
  • Edition number: 4
  • Pages: 864
  • Product dimensions: 7.10 (w) x 9.60 (h) x 1.60 (d)

Meet the Author

Dominic Jordan is formerly a professor in the Mathematics Department at Keele University, UK.

Peter Smith is an Emeritus Professor in the School of Computing and Mathematics at Keele University, UK.

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Table of Contents

1. Elementary Methods, Differentiation, Complex Numbers
2. Matrix Algebra and Vectors
3. Integration and Differential Equations
4. Transforms and Fourier Series
5. Multivariable Calculus
6. Discrete Mathematics
7. Probability and Statistics
8. Projects Using Symbolic Computing

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