MATLAB for Engineers: International Edition

MATLAB for Engineers, 2e is ideal for Freshman or Introductory courses in Engineering and Computer Science.   With a hands-on approach and focus on problem solving, this introduction to the powerful MATLAB computing language is designed for students with only a basic college algebra background. Numerous examples are drawn from a range of engineering disciplines, demonstrating MATLAB’s applications to a broad variety of problems.   Note: This book is included in Prentice Hall’s ESource series. ESource allows professors to select the content appropriate for their freshman/first-year engineering course. Professors can adopt the published manuals as is or use ESource’s website www.prenhall.com/esource to view and select the chapters they need, in the sequence they want. The option to add their own material or copyrighted material from other publishers also exists. 

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