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

$119.95 (as of October 17, 2017, 7:26 pm) & FREE Shipping. Details $56.48

Content summary:

PART 1. ELEMENTARY METHODS, DIFFERENTIATION, COMPLEX NUMBERS

PART 2. MATRIX AND VECTOR ALGEBRA

PART 3. INTEGRATION AND DIFFERENTIAL EQUATIONS

PART 4. TRANSFORMS AND FOURIER SERIES

PART 5. MULTIVARIABLE CALCULUS

PART 6. DISCRETE MATHEMATICS

PART 7. PROBABILITY AND STATISTICS

PART 8. PROJECTS

Self-tests: selected answers
Answers to selected problems
Appendices
Further reading
Index

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Description

Mathematics forms a cornerstone of most modern branches of science, yet many university students find mastering the modern mathematical concepts challenging. The newest 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. The text breaks the main topics into manageable chapters with material focused on practical applications rather than 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.

The new edition of the classic text contains over 500 worked out examples, over 2,000 end of chapter problems and a series of projects at the end of the book that encourage students to use mathematical software to further their understanding. The 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 .

About the authors

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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