book

Programming in MATLAB ®

Name: Programming in MATLAB ®
Author: Ram N. Patel
ISBN: 9789332537484

by Ram N. Patel

January 2014

Intermediate to advanced

544 pages

10h 15m

English

Pearson India

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Cover
Title Page
Contents
Preface
About the Authors
Acknowledgements
1. Introduction to MATLAB® Desktop
1.1 Introduction1.2 Getting Started1.3 MATLAB Desktop1.3.1 Command Window1.3.2 Command History Window1.3.3 Current Directory Browser1.3.4 Workspace and Array Editor1.3.5 Help Browser1.3.6 Edit/Debug Window1.3.7 Path Browser1.4 Getting Help from Command Window1.5 General Syntax1.6 Writing Simple Expressions1.7 Screen Display Control1.8 MATLAB Demonstrations1.9 How to Quit MATLABProgramming Tips and PitfallsSummaryExercises
2. Matrix Operations and Applications
2.1 Introduction2.2 Data Types in MATLAB2.3 MATLAB Array2.4 Creating Vectors and Matrices2.4.1 Creating Sub-matrices of a Given Matrix2.4.2 Changing the Elements of a Matrix2.4.3 Creating Special Matrices2.4.4 Concatenation2.5 Operators2.5.1 Matrix Operators2.5.2 Matrix Multiplication and Inversion2.5.3 Array Operators2.5.4 Relational Operators2.5.5 Logical Operators2.6 Properties of a Matrix2.7 Replicating Data to Form a MatrixProgramming Tips and PitfallsSummaryExercises
3. MATLAB® Graphics and Plotting
3.1 Introduction3.2 2-Dimensional Plots3.3 Plot Aesthetics3.3.1 Changing the Axes3.3.2 Adding Text3.4 Multiple Plots3.4.1 Multiple Plots on a Window3.4.2 Some Important Functions on Multiple Plots3.5 Subplotting3.6 Some Other Useful 2-D Plots3.7 Advanced Concepts on Plot Annotation and Labeling3.7.1 Using Handle Graphics3.7.2 An Easier Way to Plot Editing3.8 3-D Graphics3.9 Function PlottersProgramming Tips and PitfallsSummaryExercises
4. Control Structures, Loops, and File Handling
4.1 Introduction4.2 Conditional Statements4.3 Loops4.4 Nested Loops4.5 Breaking Control Structures (Break and Continue)4.6 File Types in Matlab4.7 Recording a MATLAB Session4.8 Saving and Retrieving Workspace Variables and Spreadsheet Data4.9 Handling External Files4.9.1 Opening a File4.9.2 Writing to a File4.9.3 Reading from a File4.9.4 Closing a File4.10 File Handling (Specific Formats)4.11 MATLAB Import WizardProgramming Tips and PitfallsSummaryExercises

5. Scripts and Functions
5.1 Introduction5.2 Making Simple Script and Function Files5.3 Input and Output Arguments in Functions5.3.1 Arguments of Different Types5.3.2 Variable Number of Arguments5.4 Types of Functions5.4.1 Function Functions, Feval, and Inline5.4.2 Subfunctions5.4.3 Private Functions5.4.4 Function Name Resolution5.5 Global and Persistent Variables5.6 Polynomial Functions5.7 Recursive Functions5.8 Common Errors in Using FunctionsProgramming Tips and PitfallsSummaryExercises
6. Numerical Methods, Calculus, and Statistics
6.1 Introduction6.2 Numerical Integration6.2.1 Double and Triple Integrals6.3 Numerical Differentiation6.4 Interpolation6.4.1 Multidimensional Interpolation6.5 Curve Fitting6.6 Numerical Optimization6.7 Linear Equations6.7.1 Gauss Elimination6.7.2 Ill-conditioned Problems6.7.3 Pivoting to Handle Ill-conditioned Problems6.8 Solution of Nonlinear Algebraic Equations6.8.1 Gauss-Seidel (GS) Method6.8.2 GS Solution for a System of Equations6.8.3 Newton-Raphson (NR) Method6.8.4 NR Solution for a System of Equations6.9 Numerical Solution of Ordinary Differential Equations6.9.1 Euler’s Method for Solution of Differential Equations6.9.2 Euler’s Modified Method6.9.3 Runge-Kutta Method (Order-2)6.9.4 Runge-Kutta Method (Order-4)6.10 Solution of Differential Equations Through ODE FunctionsProgramming Tips and PitfallsSummaryExercises
7. Using Memory Efficiently
7.1 Introduction7.2 Matlab Memory Storage7.3 Out of Memory Errors7.4 Coding Tips for Memory Usage7.4.1 Preallocation of Arrays7.4.2 Breaking Down the Problem7.4.3 Use Temporary Variables Wisely7.4.4 Using Less Bytes Per Data Member7.4.5 Writing Functions Carefully7.4.6 Using Global Variables7.5 System-Related Tips for Memory UsageProgramming Tips and PitfallsSummaryExercises
8. Using the MATLAB® Debugger and Profiler
8.1 Introduction8.2 Types of Errors8.3 Using the Debugger8.4 Developing Bug-free Programs8.5 Common Bugs8.5.1 Bug Prevention8.5.2 Bug Detection8.5.3 Common Run-time Errors8.6 Using MATLAB Profiler8.6.1 Program Profiling8.6.2 Using the Profiler and M-Lint for Enhancing Performance8.6.3 When to Use the ProfilerProgramming Tips and PitfallsSummaryExercises
9. Efficient Coding Using Vectorization Technique
9.1 Introduction9.2 Vector Concepts9.2.1 MATLAB Indexing9.2.2 Utility Functions9.3 Loop Conversion9.4 Matlab Acceleration9.5 Solving Problems WITH VectorizationProgramming Tips and PitfallsSummaryExercises
10. Precision and Errors
10.1 Introduction10.2 Matlab Infinity and Zero10.3 Round-off Errors10.4 Propagated Errors10.5 Getting Around the ErrorsProgramming Tips and PitfallsSummaryExercises
11. Advanced Concepts in Matlab®
11.1 Introduction11.2 Symbolic Processing11.2.1 Creating and Using Symbolic Objects11.2.2 Expressions Involving Many Symbolic Objects11.2.3 Variable Substitution11.2.4 Algebraic Operations with Symbolic Expressions11.2.5 Differentiation with Symbolic Expressions11.2.6 Integration with Symbolic Expressions11.2.7 Solving Algebraic Equations11.2.8 Solving Differential Equations11.2.9 Laplace Transform11.3 Cell Arrays and Structures11.4 Calling C Functions11.4.1 The Distinction between mx and mex Prefixes11.4.2 Creating C Language MEX-Files11.5 Object Oriented Design11.5.1 Classes in MATLAB11.5.2 Overloading11.5.3 InheritanceProgramming Tips and PitfallsSummaryExercises
12. Modeling with Simulink®
12.1 Introduction12.2 Creating a Simulink Model12.2.1 Starting Simulink12.2.2 Opening a New Model File12.2.3 Creating Blocks12.2.4 Setting the Parameters and Making Connections12.2.5 Setting the Simulink Configuration Parameters12.2.6 Running/Stopping the Simulation12.2.7 Sending Data to the Workspace12.3 Dealing with Complex System Equations12.4 Creating Subsystems12.5 Masking Subsystems12.6 Using the Blocksets and Toolboxes12.6.1 Physical Modeling with Simulink12.6.2 Essential Rules in Physical Modeling12.7 Linear State Space Model From Simulink Models12.8 Running the Simulink Model Through the Command Line12.9 Development of Graphical User Interface12.10 Simulink Model File Formats (SLX and MDL)12.10.1 Upgrading Models to SLX12.10.2 Making Your Model Compatible to Different Simulink Versions12.10.3 Saving from One Earlier Simulink Version to AnotherProgramming Tips and PitfallsSummaryExercises
13. Digital Image Processing
13.1 Introduction13.1.1 Image as a Matrix13.1.2 Getting Information about an Image13.1.3 Data Types of Image Variables13.1.4 Basic Commands in Image Processing13.2 Histogram Processing13.2.1 Creating and Displaying Image Histogram13.2.2 Histogram Equalization13.3 Operations on Images13.3.1 Linear Spatial Filtering13.3.2 Spatial Noise Filtering13.3.3 Morphological Image Processing13.4 Point, Line, and Edge Detection13.4.1 Point Detection13.4.2 Line Detection13.4.3 Edge Detection13.5 Thresholding13.5.1 Global Thresholding13.5.2 Local ThresholdingProgramming Tips and PitfallsSummaryExercises
Notes
Copyright

Content preview from Programming in MATLAB ®

Preface

Acknowledgments

About the Authors

1. INTRODUCTION TO MATLAB^® DESKTOP

1.3.2 Command History Window

1.3.3 Current Directory Browser

1.3.4 Workspace and Array Editor

1.3.5 Help Browser

1.3.6 Edit/Debug Window

1.3.7 Path Browser

1.4 GETTING HELP FROM COMMAND WINDOW

1.5 GENERAL SYNTAX

1.6 WRITING SIMPLE EXPRESSIONS

1.7 SCREEN DISPLAY CONTROL

1.8 MATLAB DEMONSTRATIONS

1.9 HOW TO QUIT MATLAB

Programming Tips and Pitfalls

Summary

Exercises

2. MATRIX OPERATIONS AND APPLICATIONS

2.1 INTRODUCTION

2.2 DATA TYPES IN MATLAB

2.3 MATLAB ARRAY

2.4 CREATING VECTORS AND MATRICES

2.4.1 Creating Sub-matrices of a Given Matrix

2.4.2 Changing the Elements of a Matrix

2.4.3 ...

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Programming in MATLAB ®

by Ram N. Patel

Contents

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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