Programming in MATLAB ® A problem-solving approach

MATLAB® provides an interactive programming interface for numerical computation and data visualization making it the default framework used for analysis, design and research in many domains of science and industry. Programming in MATLAB® : A problem-solving approach is intended as an aid to enginee...

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Detalles Bibliográficos
Autor principal:	Patel, Ram N. (-)
Otros Autores:	Mittal, Ankush
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Noida : Pearson India 2014.
Edición:	1st ed
Colección:	Always learning.
Materias:	MATLAB. Programming languages (Electronic computers)
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820412106719

Tabla de Contenidos:

Cover
Contents
Preface
Acknowledgments
About the Authors
1. Introduction to MATLAB® Desktop
1.1 Introduction
1.2 Getting Started
1.3 MATLAB Desktop
1.3.1 Command Window
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 (The "Format" Function)
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 Creating Special Matrices
2.4.4 Concatenation
2.5 Operators
2.5.1 Matrix Operators
2.5.2 Matrix Multiplication and Inversion
2.5.3 Array Operators
2.5.4 Relational Operators
2.5.5 Logical Operators
2.6 Properties of a Matrix
2.7 Replicating Data to Form a Matrix
Programming Tips and Pitfalls
Summary
Exercises
3. MATLAB® Graphics and Plotting
3.1 Introduction
3.2 2-Dimensional Plots
3.3 Plot Aesthetics
3.3.1 Changing the Axes
3.3.2 Adding Text
3.4 Multiple Plots
3.4.1 Multiple Plots on a Window
3.4.2 Some Important Functions on Multiple Plots
3.5 Subplotting
3.6 Some Other Useful 2-D Plots
3.7 Advanced Concepts on Plot Annotation and Labeling
3.7.1 Using Handle Graphics
3.7.2 An Easier Way to Plot Editing
3.8 3-D Graphics
3.9 Function Plotters
Programming Tips and Pitfalls
Summary
Exercises
4. Control Structures, Loops, and File Handling
4.1 Introduction
4.2 Conditional Statements.
4.3 Loops
4.4 Nested Loops
4.5 Breaking Control Structures (Break and Continue)
4.6 File Types in MATLAB
4.7 Recording a MATLAB Session
4.8 Saving and Retrieving Workspace Variables and Spreadsheet Data
4.9 Handling External Files
4.9.1 Opening a File
4.9.2 Writing to a File
4.9.3 Reading from a File
4.9.4 Closing a File
4.10 File Handling (Specific Formats) [csvread, csvwrite, dlmread, and dlmwrite]
4.11 MATLAB Import Wizard
Programming Tips and Pitfalls
Summary
Exercises
5. Scripts and Functions
5.1 Introduction
5.2 Making Simple Script and Function Files
5.3 Input and Output Arguments in Functions
5.3.1 Arguments of Different Types
5.3.2 Variable Number of Arguments
5.4 Types of Functions
5.4.1 Function Functions, Feval, and Inline
5.4.2 Subfunctions
5.4.3 Private Functions
5.4.4 Function Name Resolution
5.5 Global and Persistent Variables
5.6 Polynomial Functions
5.7 Recursive Functions
5.8 Common Errors in Using Functions
Programming Tips and Pitfalls
Summary
Exercises
6. Numerical Methods, Calculus, and Statistics
6.1 Introduction
6.2 Numerical Integration
6.2.1 Double and Triple Integrals
6.3 Numerical Differentiation
6.4 Interpolation
6.4.1 Multidimensional Interpolation
6.5 Curve Fitting
6.6 Numerical Optimization
6.7 Linear Equations
6.7.1 Gauss Elimination
6.7.2 Ill-conditioned Problems
6.7.3 Pivoting to Handle Ill-conditioned Problems
6.8 Solution of Nonlinear Algebraic Equations
6.8.1 Gauss-Seidel (GS) Method
6.8.2 GS Solution for a System of Equations
6.8.3 Newton-Raphson (NR) Method
6.8.4 NR Solution for a System of Equations
6.9 Numerical Solution of Ordinary Differential Equations
6.9.1 Euler's Method for Solution of Differential Equations
6.9.2 Euler's Modified Method.
6.9.3 Runge-Kutta Method (Order-2)
6.9.4 Runge-Kutta Method (Order-4)
6.10 Solution of Differential Equations through ODE Functions
Programming Tips and Pitfalls
Summary
Exercises
7. Using Memory Efficiently
7.1 Introduction
7.2 MATLAB Memory Storage
7.3 Out of Memory Errors
7.4 Coding Tips for Memory Usage
7.4.1 Preallocation of Arrays
7.4.2 Breaking Down the Problem
7.4.3 Use Temporary Variables Wisely
7.4.4 Using Less Bytes Per Data Member
7.4.5 Writing Functions Carefully
7.4.6 Using Global Variables
7.5 System-Related Tips for Memory Usage
Programming Tips and Pitfalls
Summary
Exercises
8. Using the MATLAB® Debugger and Profiler
8.1 Introduction
8.2 Types of Errors
8.3 Using the Debugger
8.4 Developing Bug-free Programs
8.5 Common Bugs
8.5.1 Bug Prevention
8.5.2 Bug Detection
8.5.3 Common Run-time Errors
8.6 Using MATLAB Profiler
8.6.1 Program Profiling
8.6.2 Using the Profiler and M-Lint for Enhancing Performance
8.6.3 When to Use the Profiler
Programming Tips and Pitfalls
Summary
Exercises
9. Efficient Coding Using Vectorization Technique
9.1 Introduction
9.2 Vector Concepts
9.2.1 MATLAB Indexing
9.2.2 Utility Functions
9.3 Loop Conversion
9.4 MATLAB Acceleration
9.5 Solving Problems with Vectorization
Programming Tips and Pitfalls
Summary
Exercises
10. Precision and Errors
10.1 Introduction
10.2 MATLAB Infinity and Zero
10.3 Round-off Errors
10.4 Propagated Errors
10.5 Getting Around the Errors
Programming Tips and Pitfalls
Summary
Exercises
11. Advanced Concepts in MATLAB®
11.1 Introduction
11.2 Symbolic Processing
11.2.1 Creating and Using Symbolic Objects
11.2.2 Expressions Involving Many Symbolic Objects
11.2.3 Variable Substitution.
11.2.4 Algebraic Operations with Symbolic Expressions
11.2.5 Differentiation with Symbolic Expressions
11.2.6 Integration with Symbolic Expressions
11.2.7 Solving Algebraic Equations
11.2.8 Solving Differential Equations
11.2.9 Laplace Transform
11.3 Cell Arrays and Structures
11.4 Calling C Functions
11.4.1 The Distinction between mx and mex Prefixes
11.4.2 Creating C Language MEX-Files
11.5 Object Oriented Design
11.5.1 Classes in MATLAB
11.5.2 Overloading
11.5.3 Inheritance
Programming Tips and Pitfalls
Summary
Exercises
12. Modeling with Simulink®
12.1 Introduction
12.2 Creating a Simulink Model
12.2.1 Starting Simulink
12.2.2 Opening a New Model File
12.2.3 Creating Blocks
12.2.4 Setting the Parameters and Making Connections
12.2.5 Setting the Simulink Configuration Parameters
12.2.6 Running/Stopping the Simulation
12.2.7 Sending Data to the Workspace
12.3 Dealing with Complex System Equations
12.4 Creating Subsystems
12.5 Masking Subsystems
12.6 Using the Blocksets and Toolboxes
12.6.1 Physical Modeling with Simulink
12.6.2 Essential Rules in Physical Modeling
12.7 Linear State Space Model From Simulink Models
12.8 Running the Simulink Model Through the Command Line
12.9 Development of Graphical User Interface
12.10 Simulink Model File Formats (SLX and MDL)
12.10.1 Upgrading Models to SLX
12.10.2 Making Your Model Compatible to Different Simulink Versions
12.10.3 Saving from One Earlier Simulink Version to Another
Programming Tips and Pitfalls
Summary
Exercises
13. Digital Image Processing
13.1 Introduction
13.1.1 Image as a Matrix
13.1.2 Getting Information about an Image
13.1.3 Data Types of Image Variables
13.1.4 Basic Commands in Image Processing
13.2 Histogram Processing.
13.2.1 Creating and Displaying Image Histogram
13.2.2 Histogram Equalization
13.3 Operations on Images
13.3.1 Linear Spatial Filtering
13.3.2 Spatial Noise Filtering
13.3.3 Morphological Image Processing
13.4 Point, Line, and Edge Detection
13.4.1 Point Detection
13.4.2 Line Detection
13.4.3 Edge Detection
13.5 Thresholding
13.5.1 Global Thresholding
13.5.2 Local Thresholding
Programming Tips and Pitfalls
Summary
Exercises
Index.

Programming in MATLAB ® A problem-solving approach

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