Efnisyfirlit

• 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