Engineering Mathematics with Examples and Applications

Author: Yang   Xin-She  

Publisher: Elsevier Science‎

Publication year: 2016

E-ISBN: 9780128099025

P-ISBN(Paperback): 9780128097304

Subject: TB11 engineering mathematics

Keyword: 应用数学,数理科学和化学,数学

Language: ENG

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Description

Engineering Mathematics with Examples and Applications provides a compact and concise primer in the field, starting with the foundations, and then gradually developing to the advanced level of mathematics that is necessary for all engineering disciplines. Therefore, this book's aim is to help undergraduates rapidly develop the fundamental knowledge of engineering mathematics.

The book can also be used by graduates to review and refresh their mathematical skills. Step-by-step worked examples will help the students gain more insights and build sufficient confidence in engineering mathematics and problem-solving. The main approach and style of this book is informal, theorem-free, and practical. By using an informal and theorem-free approach, all fundamental mathematics topics required for engineering are covered, and readers can gain such basic knowledge of all important topics without worrying about rigorous (often boring) proofs.

Certain rigorous proof and derivatives are presented in an informal way by direct, straightforward mathematical operations and calculations, giving students the same level of fundamental knowledge without any tedious steps. In addition, this practical approach provides over 100 worked examples so that students can see how each step of mathematical problems can be derived without any gap or jump in steps. Thus, readers can build their understanding and mathematical confidence gradually and in a step-by-step manner.

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Chapter

1.2 Equations

1.3 Functions

1.4 Quadratic Equations

1.5 Simultaneous Equations

Exercises

2 Polynomials and Roots

2.1 Index Notation

2.2 Floating Point Numbers

2.3 Polynomials

2.4 Roots

Exercises

3 Binomial Theorem and Expansions

3.1 Binomial Expansions

3.2 Factorials

3.3 Binomial Theorem and Pascal's Triangle

Exercises

4 Sequences

4.1 Simple Sequences

4.2 Fibonacci Sequence

4.3 Sum of a Series

4.4 Infinite Series

Exercises

5 Exponentials and Logarithms

5.1 Exponential Function

5.2 Logarithm

5.3 Change of Base for Logarithm

Exercises

6 Trigonometry

6.1 Angle

6.2 Trigonometrical Functions

6.3 Sine Rule

6.4 Cosine Rule

Exercises

Part II Complex Numbers

7 Complex Numbers

7.1 Why Do Need Complex Numbers?

7.2 Complex Numbers

7.3 Complex Algebra

7.4 Euler's Formula

7.5 Hyperbolic Functions

Exercises

Part III Vectors and Matrices

8 Vectors and Vector Algebra

8.1 Vectors

8.2 Vector Algebra

8.3 Vector Products

8.4 Triple Product of Vectors

Exercises

9 Matrices

9.1 Matrices

9.2 Matrix Addition and Multiplication

9.3 Transformation and Inverse

9.4 System of Linear Equations

9.5 Eigenvalues and Eigenvectors

Exercises

Part IV Calculus

10 Differentiation

10.1 Gradient and Derivative

10.2 Differentiation Rules

10.3 Series Expansions and Taylor Series

Exercises

11 Integration

11.1 Integration

11.2 Integration by Parts

11.3 Integration by Substitution

Exercises

12 Ordinary Differential Equations

12.1 Differential Equations

12.2 First-Order Equations

12.3 Second-Order Equations

12.4 Higher-Order ODEs

12.5 System of Linear ODEs

Exercises

13 Partial Differentiation

13.1 Partial Differentiation

13.2 Differentiation of Vectors

13.3 Polar Coordinates

13.4 Three Basic Operators

Exercises

14 Multiple Integrals and Special Integrals

14.1 Line Integral

14.2 Multiple Integrals

14.3 Jacobian

14.4 Special Integrals

Exercises

15 Complex Integrals

15.1 Analytic Functions

15.2 Complex Integrals

Exercises

Part V Fourier and Laplace Transforms

16 Fourier Series and Transform

16.1 Fourier Series

16.2 Fourier Transforms

16.3 Solving Differential Equations Using Fourier Transforms

16.4 Discrete and Fast Fourier Transforms

Exercises

17 Laplace Transforms

17.1 Laplace Transform

17.2 Transfer Function

17.3 Solving ODE via Laplace Transform

17.4 Z-Transform

17.5 Relationships between Fourier, Laplace and Z-transforms

Exercises

Part VI Statistics and Curve Fitting

18 Probability and Statistics

18.1 Random Variables

18.2 Mean and Variance

18.3 Binomial and Poisson Distributions

18.4 Gaussian Distribution

18.5 Other Distributions

18.6 The Central Limit Theorem

18.7 Weibull Distribution

Exercises

19 Regression and Curve Fitting

19.1 Sample Mean and Variance

19.2 Method of Least Squares

19.3 Correlation Coefficient

19.4 Linearization

19.5 Generalized Linear Regression

19.6 Hypothesis Testing

Exercises

Part VII Numerical Methods

20 Numerical Methods

20.1 Finding Roots

20.2 Bisection Method

20.3 Newton-Raphson Method

20.4 Numerical Integration

20.5 Numerical Solutions of ODEs

Exercises

21 Computational Linear Algebra

21.1 System of Linear Equations

21.2 Gauss Elimination

21.3 LU Factorization

21.4 Iteration Methods

21.5 Newton-Raphson Method

21.6 Conjugate Gradient Method

Exercises

Part VIII Optimization

22 Linear Programming

22.1 Linear Programming

22.2 Simplex Method

22.3 A Worked Example

Exercises

23 Optimization

23.1 Optimization

23.2 Optimality Criteria

23.3 Unconstrained Optimization

23.4 Gradient-Based Methods

23.5 Nonlinear Optimization

23.6 Karush-Kuhn-Tucker Conditions

23.7 Sequential Quadratic Programming

Exercises

Part IX Advanced Topics

24 Partial Differential Equations

24.1 Introduction

24.2 First-Order PDEs

24.3 Classification of Second-Order PDEs

24.4 Classic Mathematical Models: Some Examples

24.5 Solution Techniques

Exercises

25 Tensors

25.1 Summation Notations

25.2 Tensors

25.3 Hooke's Law and Elasticity

Exercises

26 Calculus of Variations

26.1 Euler-Lagrange Equation

26.2 Variations with Constraints

26.3 Variations for Multiple Variables

Exercises

27 Integral Equations

27.1 Integral Equations

27.2 Solution of Integral Equations

Exercises

28 Mathematical Modeling

28.1 Mathematical Modeling

28.2 Model Formulation

28.3 Different Levels of Approximations

28.4 Parameter Estimation

28.5 Types of Mathematical Models

28.6 Brownian Motion and Diffusion: A Worked Example

Exercises

A Mathematical Formulas

A.1 Differentiation and Integration

A.2 Complex Numbers

A.3 Vectors and Matrices

A.4 Fourier Series and Transform

A.5 Asymptotics

A.6 Special Integrals

B Mathematical Software Packages

B.1 Matlab

B.1.1 Matlab

B.1.2 MuPAD

B.2 Software Packages Similar to Matlab

B.2.1 Octave

B.2.2 Scilab

B.3 Symbolic Computation Packages

B.3.1 Mathematica

B.3.2 Maple

B.3.3 Maxima

B.4 R and Python

B.4.1 R

B.4.2 Python

C Answers to Exercises

Bibliography

Index

Back Cover

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