Jordan / Smith | Mathematical Techniques | Buch | 978-0-19-928201-2 | www2.sack.de

Buch, Englisch, 1008 Seiten, Format (B × H): 189 mm x 246 mm, Gewicht: 2031 g

Jordan / Smith

Mathematical Techniques

An Introduction for the Engineering, Physical, and Mathematical Sciences
4. Revised Auflage 2008
ISBN: 978-0-19-928201-2
Verlag: Oxford University Press

An Introduction for the Engineering, Physical, and Mathematical Sciences

Buch, Englisch, 1008 Seiten, Format (B × H): 189 mm x 246 mm, Gewicht: 2031 g

ISBN: 978-0-19-928201-2
Verlag: Oxford University Press


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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Weitere Infos & Material


- PART 1. ELEMENTARY METHODS, DIFFERENTIATION, COMPLEX NUMBERS

- 1: Standard functions and techniques

- 2: Differentiation

- 3: Further techniques for differentiation

- 4: Applications of differentiation

- 5: Taylor series and approximations

- 6: Complex numbers

- PART 2. MATRIX AND VECTOR ALGEBRA

- 7: Matrix algebra

- 8: Determinants

- 9: Elementary operations with vectors

- 10: The scalar product

- 11: Vector product

- 12: Linear algebraic equations

- 13: Eigenvalues and eigenvectors

- PART 3. INTEGRATION AND DIFFERENTIAL EQUATIONS

- 14: Antidifferentiation and area

- 15: The definite and indefinite integral

- 16: Applications involving the integral as a sum

- 17: Systematic techniques for integration

- 18: Unforced linear differential equations with constant coefficients

- 19: Forced linear differential equations

- 20: Harmonic functions and the harmonic oscillator

- 21: Steady forced oscillations: phasors, impedance, transfer functions

- 22: Graphical, numerical, and other aspects of first-order equations

- 23: Nonlinear differential equations and the phase plane

- PART 4. TRANSFORMS AND FOURIER SERIES

- 24: The Laplace transform

- 25: Laplace and z transforms: applications

- 26: Fourier series

- 27: Fourier transforms

- PART 5. MULTIVARIABLE CALCULUS

- 28: Differentiation of functions of two variables

- 29: Functions of two variables: geometry and formulae

- 30: Chain rules, restricted maxima, coordinate systems

- 31: Functions of any number of variables

- 32: Double integration

- 33: Line integrals

- 34: Vector fields: divergence and curl

- PART 6. DISCRETE MATHEMATICS

- 35: Sets

- 36: Boolean algebra: logic gates and switching functions

- 37: Graph theory and its applications

- 38: Difference equations

- PART 7. PROBABILITY AND STATISTICS

- 39: Probability

- 40: Random variables and probability distributions

- 41: Descriptive statistics

- PART 8. PROJECTS

- 42: Applications projects using symbolic computing

- Self-tests: selected answers

- Answers to selected problems

- Appendices

- Further reading

- Index


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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