Engineering Mathematics
5th Edition
Published on 26. July 2017
1 pages
978-1-292-14666-9 (ISBN)
Description
Engineering Mathematics is the unparalleled undergraduate textbook for students of electrical, electronic, communications and systems engineering. Tried and tested over many years, this widely used textbook is now in its 5th edition, having been fully updated and revised. This new edition includes an even greater emphasis on the application of mathematics within a range of engineering contexts. It features detailed explanation of why a technique is important to engineers. In addition, it provides essential guidance in how to use mathematics to solve engineering problems. This approach ensures a deep and practical understanding of the role of mathematics in modern engineering.
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Anthony Croft | Robert Davison | James Flint
Engineering Mathematics
Book
06/2017
5th Edition
Pearson Education Limited
€110.36
Shipment within 10-20 days
Persons
Anthony Croft is Professor of Mathematics Education at Loughborough University.
Robert Davison was formerly Head of Quality at the Faculty of Technology, De Montfort University.
Martin Hargreaves is a Chartered Physicist
James Flint is Senior Lecturer in Wireless Systems Engineering at Loughborough University.
Content
- 1 Review of algebraic techniques 1
- 2 Engineering functions
- 3 The trigonometric functions
- 4 Coordinate systems
- 5 Discrete mathematics
- 6 Sequences and series
- 7 Vectors
- 8 Matrix algebra
- 9 Complex numbers
- 10 Di erentiation
- 11 Techniques of di erentiation
- 12 Applications of di erentiation
- 13 Integration
- 14 Techniques of integration
- 15 Applications of integration
- 16 Further topics in integration
- 17 Numerical integration
- 18 Taylor polynomials, Taylor series and Maclaurin series
- 19 Ordinary di erential equations I
- 20 Ordinary di erential equations II
- 21 The Laplace transform
- 22 Di erence equations and the z transform
- 23 Fourier series
- 24 The Fourier transform
- 25 Functions of several variables
- 26 Vector calculus
- 27 Line integrals and multiple integrals
- 28 Probability
- 29 Statistics and probability distributions
