MATLAB for Engineers:International Version

Description

Features

• Three well-organized sections
  - An Introduction to Basic Matlab Skills gets students started
  - Programming in Matlab introduces students to programming
  - Advanced Matlab Concepts demonstrates more advanced programming techniques
• More detail in early chapters — Makes it easier for beginning students to grasp the material right from the start.
• Numerous examples — Embedded in the text, with more complicated numbered examples included in each chapter to reinforce the concepts introduced.
• Examples from a wide range of disciplines — Demonstrate how Matlab can be used to solve a variety of engineering problems, making content accessible to students beyond those in electrical engineering.
• M-files – Introduces m-files early in the text to make it easier for students to save their work and develop a consistent programming strategy.
• Practice Exercises in each chapter — Give students an immediate opportunity to use their new skills. Complete solutions are included in Appendix B.
• Sections using Calculus and Differential Equations introduced near the end of appropriate chapters – Can be used for additional study by students with more advanced mathematics backgrounds.
• Hints — Included in each chapter, hints are related to commonly encountered problems.
• Online support — Instructor website includes solutions for practice exercises, examples, and problems, plus Power Point slides for each chapter and a series of Flash lectures including narration.

New to this Edition

 -- Fully revised to reflect all recent updates to the MATLAB programming language

 --  Additional problems added at the end of each chapter

 --  Enhanced Chapter 8 (Logical Functions and Control Structures) - Additional emphasis on programming  

 --  Chapter 9 Matrix Algebra - Coverage added on reverse row echelon technique

 --  All new figures

Table of Contents

Previous edition TOC
SECTION 1: AN INTRODUCTION TO BASIC MATLAB SKILLS
1.  About Matlab
1.1 What is Matlab?
1.2 Student Edition of Matlab
1.3 How is Matlab used in Industry?
1.3.1 Electrical Engineering 
1.3.2 Biomedical Engineering
1.3.3 Fluid Dynamics
1.4 Problem Solving in Engineering and Science
2. Matlab Environment
2.1 Getting Started
2.2 Matlab Windows
2.2.1 Command Window
2.2.2 Command History
2.2.3 Workspace Window
2.2.4 Current Directory Window
2.2.5 Document Window
2.2.6 Graphics Window
2.2.7 Edit Window
2.2.8 Start Button
2.3 Solving Problems with Matlab
2.3.1 Using Variables
2.3.2 Matrices in Matlab
2.3.2.1 Scalar Operations
2.3.2.2 Order of Operation
2.3.2.3 Array Operations
2.3.3 Number Display
2.3.3.1 Scientific Notation
2.3.3.2 Display Format
2.4 Saving Your Work
2.4.1 Saving Variables
2.4.2 Script M-files
3.   Built-in Matlab Functions
3.1 Using Built-in Functions
3.2 Using the Help Feature
3.3 Elementary Math Functions
3.3.1 Common Computations
3.3.2 Rounding Functions
3.3.3 Discrete Mathematics
3.4 Trigonometric Functions
3.5 Data Analysis Functions
3.5.1 Maximum and Minimum
3.5.2 Mean and Median
3.5.3 Sums and Products
3.5.4 Sorting Values
3.5.5 Determining Matrix Size
3.5.6 Variance and Standard Deviation
3.6 Random Numbers
3.6.1 Uniform Random Numbers
3.6.2 Gaussian Random Numbers
3.7 Complex Numbers
3.8 Computational Limits
3.9 Special Values and Miscellaneous Functions
4. Manipulating Matlab Matrices
4.1 Manipulating Matrices
4.1.1 Defining Matrices
4.1.2 Using the Colon Operator
4.2 Problems with Two Variables
4.3 Special Matrices
4.3.1 Matrix of Zeros
4.3.2 Matrix of Ones
4.3.3 Diagonal Matrices
4.3.4 Magic Matrices
5. Plotting
5.1 Two Dimensional Plots
5.1.1 Basic Plotting
5.1.2 Line, Color and Mark Style
5.1.3 Axis Scaling and Annotating Plots
5.2 Subplots
5.3 Other Types of Two Dimensional Plots
5.3.1 Polar Plots
5.3.2 Logarithmic plots
5.3.3 Bar Graphs and Pie Charts
5.3.4 Histograms
5.3.5 X-Y Graphs with two Y Axes
5.3.6 Function Plots
5.4 Three Dimensional Plotting
5.4.1 Three Dimensional Line Plot
5.4.2 Surface Plots
5.5 Editing Plots from the Menu Bar
5.6 Creating Plots from the Workspace Window
5.7 Saving Your Plots
SECTION 2: PROGRAMMING IN MATLAB
6. User-Defined Functions
6.1 Creating Function M-files
6.1.1 Syntax
6.1.2 Comments
6.1.3 Functions with Multiple Inputs and Outputs
6.1.4 Functions with No input or no outputs
6.1.5 Determining the number of input and output arguments
6.1.6 Local Variables
6.1.7 Global Variables
6.1.8 Accessing M-file Code
6.2 Creating Your Own Tool Box of Functions
6.3 Anonymous Functions
6.4 Function Functions
7. User Controlled Input and Output
7.1 User Defined Input
7.2 Output Options
7.2.1 Display Function
7.2.2 Formatted Output (fprintf)
7.3 Graphical Input
7.4 Using Cell Mode in Matlab M-files
7.5 Reading and Writing Data From Files
8. Logical Functions and Control Structures
8.1 Relational and Logical Operators
8.2 Flow Charts and Pseudo-Code
8.3 Logical Functions
8.3.1 Find
8.3.2 Flow Charting and Pseudo Code for Find Commands
8.4 Selection Structures
8.4.1 The Simple If
8.4.2 If/Else
8.4.3 Elseif
8.4.4 Switch and Case
8.4.5 Menu
8.5 Repetition Structures - Loops
8.5.1 For Loops
8.5.2 While Loops
8.5.3 Break and Continue
8.5.4 Improving the Efficiency of Loops
SECTION 3: ADVANCED MATLAB CONCEPTS
9.  Matrix Algebra
9.1 Matrix Operations and Functions
9.1.1 Transpose
9.1.2 Dot Product
9.1.3 Matrix Multiplication
9.1.4 Matrix Inverse
9.1.5 Determinants
9.1.6 Cross Products
9.2 Solutions to Systems of Linear Equations
9.2.1 Solution Using the Matrix Inverse
9.2.2 Solution Using Matrix Left Division
9.3 Special Matrices
9.3.1 Ones and Zeros
9.3.2 Identity Matrix
9.3.3.Other Matrices
10. Other Kinds of Arrays
10.1 Data Types
10.1.1 Numeric Data Types
10.1.2 Character and String Data
10.1.3 Symbolic Data
10.1.4 Logical Data
10.1.5 Sparse Matrices
10.2 Multidimensional Arrays
10.3 Character Arrays
10.4 Cell Arrays
10.5 Structure Arrays
11. Symbolic Mathematics
11.1 Symbolic Algebra
11.1.1 Creating Symbolic Variables
11.1.2 Manipulating Symbolic Expressions and Symbolic Equations
11.2 Solving Expressions and Equations
11.2.1 The Solve Function
11.2.2 Solving Systems of Equations
11.2.3 Substitution
11.3 Symbolic Plotting
11.3.1 The ezplot Function
11.3.2 Additional Symbolic Plots
11.4 Calculus
11.4.1 Differentiation
11.4.2 Integration
11.5 Differential Equations
12. Numerical Techniques
12.1 Interpolation
12.1.1 Linear Interpolation
12.1.2 Cubic Spline Interpolation
12.1.3 Multidimensional Interpolation
12.2 Curve Fitting
12.2.1 Linear Regression
12.2.2 Polynomial Regression
12.2.3 The polyval function
12.3 Using the Interactive Fitting Tools
12.3.1 Basic Fitting Tools
12.3.2 Curve Fitting Toolbox
12.4 Differences and Numerical Differentiation
12.5 Numerical Integration
12.6 Solving Differential Equations Numerically
13. Advanced Graphics
13.1 Images
13.2 Handle Graphics
13.3 Animation
13.4 Other Visualization Techniques
13.5 Introduction to Volume Visualization
Appendix A: Command Summary
Appendix B: Answers to Practice Exercises

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