RG Familiarizes users with MATLAB in just a few hours though self-guided lessons RG Discusses new features and applications in MATLAB 7 RG Covers elementary, advanced, and special functions RG Includes numerous new examples and problems RG Supplements any course that uses MATLAB RG Works as a stand-alone tutorial and reference MATLAB, a software package for high-performance numerical computation and visualization, is one of the most widely used tools in engineering field today. Its broad appeal lies in its interactive environment with hundreds of built-in functions for technical computation, graphics, and animation. In addition, it provides easy extensibility with its own high-level programming language. Enhanced by fun and appealing illustrations,Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers employs a casual, accessible writing style that shows users how to enjoy using MATLAB.

Rudra Pratap is Professor of Mechanical Engineering at the Indian Institute of Science in Bangalore.

Preface	p. 1
Introduction	p. 3
What Is Matlab?	p. 3
Does Matlab Do Symbolic Calculations?	p. 5
Will Matlab Run on My Computer?	p. 5
Where Do I Get Matlab?	p. 6
How Do I Use This Book?	p. 6
Basics of Matlab?	p. 7
Matlab windows	p. 7
On-line help	p. 10
Input-output	p. 10
File types	p. 11
Platform dependence	p. 12
General commands you should remember	p. 14
Visit This Again	p. 15
Tutorial Lessons	p. 17
Lesson 1: A Minimum Matlab Session	p. 19
Lesson 2: Creating and Working with Arrays of Numbers	p. 23
Lesson 3: Creating and Printing Simple Plots	p. 27
Lesson 4: Creating, Saving, and Executing a Script File	p. 31
Lesson 5: Creating and Executing a Function File	p. 35
Lesson 6: Working with Files and Directories	p. 40
Lesson 7: Publishing Reports	p. 44
Interactive Computation	p. 49
Matrices and Vectors	p. 51
Input	p. 51
Indexing (or subscripting)	p. 52
Matrix manipulation	p. 52
Creating vectors	p. 58
Matrix and Array Operations	p. 59
Arithmetic operations	p. 59
Relational operations	p. 60
Logical operations	p. 60
Elementary math functions	p. 62
Matrix functions	p. 64
Character strings	p. 64
A Special Note on Array Operations	p. 68
Vectorization	p. 69
Command Line Functions	p. 70
Inline functions	p. 70
Anonymous functions	p. 70
Using Built-in Functions and On-line Help	p. 72
Example 1: Finding the determinant of a matrix	p. 74
Example 2: Finding eigenvalues and eigenvectors	p. 74
Saving and Loading Data	p. 77
Saving into and loading from the binary Mat-files	p. 77
Importing data files	p. 78
Recording a session with diary	p. 78
Plotting Simple Graphs	p. 79
Programming in Matlab: Scripts and Functions	p. 87
Script Files	p. 87
Function Files	p. 90
Executing a function	p. 91
More on functions	p. 93
Subfunctions	p. 96
Compiled (parsed) functions: The p-code	p. 96
The profiler	p. 97
Language-specific Features	p. 97
Use of comments to create on-line help	p. 97
Continuation	p. 98
Global variables	p. 98
Loops, branches, and control-flow	p. 99
Interactive input	p. 102
Recursion	p. 104
Input/output	p. 105
Advanced Data Objects	p. 107
Multidimensional matrices	p. 107
Structures	p. 108
Cells	p. 111
Publishing Reports	p. 115
Applications	p. 121
Linear Algebra	p. 121
Solving a linear system	p. 121
Gaussian elimination	p. 122
Finding eigenvalues and eigenvectors	p. 123
Matrix factorizations	p. 124
Advanced topics	p. 125
Curve Fitting and Interpolation	p. 125
Polynomial curve fitting on the fly	p. 125
Do it yourself: Curve fitting with polynomial functions	p. 128
Least squares curve fitting	p. 130
General nonlinear fits	p. 133
Interpolation	p. 133
Data Analysis and Statistics	p. 136
Numerical Integration (Quadrature)	p. 138
Double integration	p. 140
Ordinary Differential Equations	p. 142
Example 1: A first-order linear ODE	p. 143
Example 2: A second-order nonlinear ODE	p. 144
ode 23 versus ode45	p. 146
Specifying tolerance	p. 148
The ODE suite	p. 149
Event location	p. 151
Nonlinear Algebraic Equations	p. 154
Roots of polynomials	p. 156
Advanced Topics	p. 157
Graphics	p. 161
Basic 2-D Plots	p. 161
Style options	p. 162
Labels, title, legend, and other text objects	p. 162
Axis control, zoom in, and zoom out	p. 163
Modifying plots with the plot editor	p. 164
Overlay plots	p. 164
Specialized 2-D plots	p. 169
Using subplot for Multiple Graphs	p. 175
3-D Plots	p. 175
View	p. 176
Rotate view	p. 178
Mesh and surface plots	p. 179
Vector field and volumetric plots	p. 187
Interpolated surface plots	p. 189
Handle Graphics	p. 191
The object hierarchy	p. 191
Object handles	p. 192
Object properties	p. 193
Modifying an existing plot	p. 196
Complete control over the graphics layout	p. 198
Saving and Printing Graphs	p. 201
Saving graphs to reusable files	p. 202
Animation	p. 203
Errors	p. 211
What Else Is There?	p. 217
The Symbolic Math Toolbox	p. 217
Should you buy it?	p. 218
Two useful tools in the Symbolic Math Toolbox	p. 218
Getting help with the Symbolic Math Toolbox	p. 220
Using the Symbolic Math Toolbox	p. 221
Summary: Some Symbolic Math Toolbox commands	p. 223
Debugging Tools	p. 224
External Interface: Mex-files	p. 224
Graphical User Interface	p. 224
The MATLAB Language Reference	p. 225
Punctuation Marks and Other Symbols	p. 225
General-purpose Commands	p. 227
Special Variables and Constants	p. 228
Language Constructs and Debugging	p. 228
File Input/Output	p. 228
Operators and Logical Functions	p. 229
Math Functions	p. 230
Matrices: Creation and Manipulation	p. 231
Character String Functions	p. 232
Graphics Functions	p. 232
Applications Functions	p. 234
Data analysis and Fourier transforms	p. 234
Polynomials and data interpolation	p. 234
Nonlinear numerical methods	p. 234
Bibliography	p. 235
Index	p. 236
Table of Contents provided by Ingram. All Rights Reserved.

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