Engineering Mathematics
by Robert Davison, Anthony Croft
5th Edition
Publisher: Pearson
Book Details
| Print ISBN | 9781292146652 |
| eText ISBN | 9781292146669 |
| Publisher | Pearson |
| Publishing Year | 2017 |
| Edition | 5th Edition |
| Language | English |
| Pages | 1004 |
Engineering Mathematics, 5th Edition, is a textbook tailored for students in electrical, electronic, systems, and communications engineering. Fully updated and revised, this volume places strong emphasis on applying mathematical techniques to practical engineering situations.
Broad areas of subject coverage include foundational algebra, trigonometric functions, coordinate systems, discrete mathematics, and calculus. In addition, the text introduces ordinary differential equations, transform methods, multivariable analysis, and probability distributions.
To assist learners in solving practical technical problems, the text explains why particular mathematical methods are important to engineers. The volume also includes exercises throughout the text to test student comprehension, with answers provided.
Table of Contents
Chapter 1: Review of algebraic techniques
Chapter 2: Engineering functions
Chapter 3: The trigonometric functions
Chapter 4: Coordinate systems
Chapter 5: Discrete mathematics
Chapter 6: Sequences and series
Chapter 7: Vectors
Chapter 8: Matrix algebra
Chapter 9: Complex numbers
Chapter 10: Di erentiation
Chapter 11: Techniques of di erentiation
Chapter 12: Applications of di erentiation
Chapter 13: Integration
Chapter 14: Techniques of integration
Chapter 15: Applications of integration
Chapter 16: Further topics in integration
Chapter 17: Numerical integration
Chapter 18: Taylor polynomials, Taylor series and Maclaurin series
Chapter 19: Ordinary di erential equations I
Chapter 20: Ordinary di erential equations II
Chapter 21: The Laplace transform
Chapter 22: Di erence equations and the z transform
Chapter 23: Fourier series
Chapter 24: The Fourier transform
Chapter 25: Functions of several variables
Chapter 26: Vector calculus
Chapter 27: Line integrals and multiple integrals
Chapter 28: Probability
Chapter 29: Statistics and probability distributions
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