MATLAB

A Practical Introduction to Programming and Problem Solving

6th Edition - May 4, 2022
Author: Dorothy C. Attaway
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 1 7 5 0 - 6
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 8 6 1 1 - 3

MATLAB: A Practical Introduction to Programming and Problem Solving, winner of TAA’s 2017 Textbook Excellence Award ("Texty"), guides the reader through both programming and built-… Read more

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MATLAB: A Practical Introduction to Programming and Problem Solving, winner of TAA’s 2017 Textbook Excellence Award ("Texty"), guides the reader through both programming and built-in functions to easily exploit MATLAB’s extensive capabilities for tackling engineering and scientific problems. Assuming no knowledge of programming, this book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. The sixth edition has been updated to reflect the functionality of the current version of MATLAB (R2021a), including the introduction of machine learning concepts and the Machine Learning Toolbox, and new sections on data formats and data scrubbing.

Cover
Title page
Table of Contents
Copyright
Preface
Motivation
Modifications in The Sixth Edition
Key Features
Layout of Text
Part 1: Introduction to Programming Using MATLAB
Part II: Advanced Topics for Problem Solving With MATLAB
Path Through the Book
Pedagogical Features
Additional Book Resources
MathWorks® Contact Information
Acknowledgments
Part 1: Introduction to Programming Using MATLAB®
Chapter 1: Introduction to MATLAB®
1.1: Getting into MATLAB
1.2: The MATLAB Desktop Environment
1.3: Variables and Assignment Statements
1.4: Numerical Expressions
1.5: Characters and Strings
1.6: Relational Expressions
1.7: Type Ranges and Type Casting
1.8: Built-in Numerical Functions
1.9: Using MAT-Files for Variables
1.10: Additional MATLAB Products
Summary
Chapter 2: Vectors and Matrices
Abstract
2.1: Vectors and Matrices
2.2: Vectors and Matrices as Function Arguments
2.3: Scalar and Array Operations on Vectors and Matrices
2.4: Logical Vectors
2.5: Matrix Operations and Matrix Properties
Summary
Chapter 3: Introduction to MATLAB Programming
Abstract
3.1: Algorithms
3.2: MATLAB Scripts
3.3: Input and Output
3.4: Scripts with Input and Output
3.5: Scripts to Produce and Customize Simple Plots
3.6: Introduction to File Input/Output (Load and Save)
3.7: User-Defined Functions that Return a Single Value
3.8: Local Functions in Scripts
3.9: Commands and Functions
3.10: Introduction to Live Scripts
Summary
Chapter 4: Selection Statements
Abstract
4.1: The if Statement
4.2: The if-else Statement
4.3: Nested if-else Statements
4.4: The Switch Statement
4.5: The “is” Functions in MATLAB
Summary
Chapter 5: Loop Statements and Vectorizing Code
Abstract
5.1: The for Loop
5.2: Nested for Loops
5.3: While Loops
5.4: Loops with Vectors and Matrices; Vectorizing
5.5: Timing
Summary
Chapter 6: MATLAB Programs
Abstract
6.1: More Types of User-Defined Functions
6.2: MATLAB Program Organization
6.3: Application: Menu-Driven Modular Program
6.4: Variable Scope
6.5: Debugging Techniques
6.6: Tasks in Live Scripts, Code Cells, and Publishing Code
Summary
Chapter 7: Text Manipulation
Abstract
7.1: Characters, Character Vectors, and String Arrays
7.2: Operations on Text
7.3: The “is” Functions for Text
7.4: Converting Between Text and Number Types
Summary
Chapter 8: Data Structures
Abstract
8.1: Cell Arrays
8.2: Structures
8.3: Advanced Data Structures
8.4: Sorting
Summary
Part 2: Advanced Topics for Problem Solving with MATLAB
Chapter 9: Data Transfer
Abstract
9.1: Writing and reading spreadsheet and csv files
9.2: Lower-Level File I/O Functions
9.3: Data Transfer with Web Sites
Summary
Chapter 10: Advanced Functions
Abstract
10.1: Variable Numbers of Arguments
10.2: Validating Function Arguments
10.3: Anonymous Functions and Function Handles
10.4: Uses of Function Handles
10.5: Nested Functions
10.6: Recursive Functions
Summary
Chapter 11: Introduction to Object-Oriented Programming and Graphics
Abstract
11.1: Object-Oriented Programming
11.2: Using Objects with Graphics and Plot Properties
11.3: User-Defined Classes and Objects
Summary
Chapter 12: Advanced Plotting Techniques
Abstract
12.1: Plot Functions and Customizing Plots
12.2: 3D Plots
12.3: Primitive Graphics Objects
12.4: Plot Applications
12.5: Saving and Printing Plots
Summary
Chapter 13: Sights and Sounds
Abstract
13.1: Image Processing
13.2: Introduction to Apps and Graphical User Interfaces
13.3: App Designer
13.4: Sound Files
Summary
Chapter 14: Advanced Mathematics
Abstract
14.1: Set Operations
14.2: Complex Numbers
14.3: Matrix Solutions to Systems of Linear Algebraic Equations
14.4: Symbolic Mathematics
14.5: Calculus: Integration and Differentiation
Summary
Chapter 15: Basic Machine Learning Algorithms and Concepts
Abstract
15.1: Preprocessing Data, Basic Workflow
15.2: Algorithms and Model Performance
15.3: Statistics and Machine Learning Toolbox™
Summary
Appendix I: MATLAB® Functions (Not Including Those Listed in the “Explore Other Interesting Features” Sections or in the “Data Science and Machine Learning Supplement” Sections)
Appendix II: MATLAB® and Simulink Toolboxes
Index

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