Essential Engineering Mathematics
Download for FREE in 4 easy steps...
This is a Premium eBook
Bookboon Premium  Get access to over 800 eBooks  without ads
You can get free access for a month to this  and 800 other books with the Premium Subscription. You can also buy the book below
 Start a 30day free trial. After trial: 39.99 kr p/m
 Start a 30day free trial. After trial: €5.99 p/m
 Start a 30day free trial. After trial: £4.99 p/m
 Start a 30day free trial. After trial: ₹299 p/m
 Start a 30day free trial. After trial: $3.99 p/m
 Start a 30day free trial. After trial: 39.99 kr p/m
 Start a 30day free trial. After trial: 39.99 kr p/m
Users who viewed this item also viewed

Engineering Mathematics: YouTube Workbook

Integration and differential equations

Applied Mathematics by Example: Theory

Concepts in Electric Circuits

Engineering Thermodynamics

Introduction to Electronic Engineering

Control Engineering Problems with Solutions

Matrix Methods and Differential Equations  A Practical Introduction
About the book
Reviews
Shivkumar Hegde ★★★★☆
This book sufficient knowledge for the learning aspects.Easy methods have been adopted for every conceptual theories.
Description
This textbook covers topics such as functions, single variable calculus, multivariate calculus, differential equations and complex functions. The necessary linear algebra for multivariate calculus is also outlined. More advanced topics which have been omitted, but which you will certainly come across, are partial differential equations, Fourier transforms and Laplace transforms.
Preface
This book is partly based on lectures I gave at NUI Galway and Trinity College Dublin between 1998 and 2000. It is by no means a comprehensive guide to all the mathematics an engineer might encounter during the course of his or her degree. The aim is more to highlight and explain some areas commonly found difficult, such as calculus, and to ease the transition from school level to university level mathematics, where sometimes the subject matter is similar, but the emphasis is usually different. The early sections on functions and single variable calculus are in this spirit. The later sections on multivariate calculus, differential equations and complex functions are more typically found on a first or second year undergraduate course, depending upon the university. The necessary linear algebra for multivariate calculus is also outlined. More advanced topics which have been omitted, but which you will certainly come across, are partial differential equations, Fourier transforms and Laplace transforms.
This short text aims to be somewhere first to look to refresh your algebraic techniques and remind you of some of the principles behind them. I have had to omit many topics and it is unlikely that it will cover everything in your course. I have tried to make it as clean and uncomplicated as possible.
Hopefully there are not too many mistakes in it, but if you find any, have suggestions to improve the book or feel that I have not covered something which should be included please send an email to me at batty.mathmo (at) googlemail.com
Michael Batty, Durham, 2010.
Content
0. Introduction
1. Preliminaries
1.1 Number Systems: The Integers, Rationals and Reals
1.2 Working with the Real Numbers
1.2.1 Intervals
1.2.2 Solving Inequalities
1.2.3 Absolute Value
1.2.4 Inequalities Involving Absolute Value
1.3 Complex Numbers
1.3.1 Imaginary Numbers
1.3.2 The Complex Number System and its Arithmetic
1.3.3 Solving Polynomial Equations Using Complex Numbers
1.3.4 Geometry of Complex Numbers
2. Vectors and Matrices
2.1 Vectors
2.2 Matrices and Determinants
2.2.1 Arithmetic of Matrices
2.2.2 Inverse Matrices and Determinants
2.2.3 The Cross Product
2.3 Systems of Linear Equations and Row Reduction
2.3.1 Systems of Linear Equations
2.3.2 Row Reduction
2.3.3 Finding the Inverse of a Matrix using Row Reduction
2.4 Bases
2.5 Eigenvalues and Eigenvectors
3. Functions and Limits
3.1 Functions
3.1.1 Denition of a Function
3.1.2 Piping Functions Together
3.1.3 Inverse Functions
3.2 Limits
3.3 Continuity
4. Calculus of One Variable Part 1: Differentiation
4.1 Derivatives
4.2 The Chain Rule
4.3 Some Standard Derivatives
4.4 Dierentiating Inverse Functions
4.5 Implicit Differentiation
4.6 Logarithmic Differentiation
4.7 Higher Derivatives
4.8 L’Hôpital’s Rule
4.9 Taylor Series
5. Calculus of One Variable Part 2: Integration
5.1 Summing Series
5.2 Integrals
5.3 Antiderivatives
5.4 Integration by Substitution
5.5 Partial Fractions
5.6 Integration by Parts
5.7 Reduction Formulae
5.8 Improper Integrals
6. Calculus of Many Variables
6.1 Surfaces and Partial Derivatives
6.2 Scalar Fields
6.3 Vector Fields
6.4 Jacobians and the Chain Rule
6.5 Line Integrals
6.6 Surface and Volume Integrals
7. Ordinary Differential Equations
7.1 First Order Dierential Equations Solvable by Integrating Factor
7.2 First Order Separable Differential Equations
7.3 Second Order Linear Differential Equations with Constant Coefficients: The Homogeneous Case
7.4 Second Order Linear Differential Equations with Constant Coefficients: The Inhomogeneous Case
7.5 Initial Value Problems
8. Complex Function Theory
8.1 Standard Complex Functions
8.2 The CauchyRiemann Equations
8.3 Complex Integrals
Index
About the Author
Michael Batty was born in 1970 in Durham, England. He gained his Ph.D. in mathematics (geometric group theory) from Warwick University in 1998. Having spent many years in academia researching and teaching mathematics and computer science, he now works as a serverside web developer. His research interests include group theory and algorithms, and he is also a keen artist in his spare time.