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Fundamentals of MATLAB Programming

This is the textbook for ENGR 20: Introduction to MATLAB Programming at Irvine Valley College (IVC).

Engineering

Author: Zara Noroozi
Publisher: Irvine Valley College
Source: LibreTexts
License: CC BY-NC-SA
Language: EN
Category: Information Technology

Read online Download PDF (open licence)

Contents· 207 sections

01: Introduction
1.01: Learning Objectives
1.02: Why Should You Learn MATLAB
1.03: What is MATLAB
1.04: Getting to Know the MATLAB Environment
1.05: Using MATLAB Interactively
1.06: Variable and Assignment Statements
1.07: Useful Workspace Commands
1.08: A short Introduction to Binary Numbers and Computer Storage
1.09: MATLAB Data Types
1.9.01: Numeric Variables
1.9.02: Texts - Characters and Strings
1.9.03: Logical Variables
1.10: Numeric Expressions and Operations
1.11: Logical Operators
1.12: Getting Help in MATLAB
1.13: Common Mistakes and Best Practices
1.14: Chapter Exercises
02: Scripts and Functions
2.01: Learning Objectives
2.02: From Calculator Commands to Programs
2.03: MATLAB Scripts
2.04: Documenting Scripts with Comments
2.05: Getting Input from the User
2.06: Displaying Output - disp and fprintf
2.07: Scripts vs. Functions
2.08: Creating User-Defined Functions
2.09: Common MATLAB Math Fuctions
2.10: Common Mistakes and Best Practices
2.11: Chapter Exercises
03: One-Dimensional Arrays
3.01: Learning Objectives
3.02: Why Arrays Matter
3.03: Creating One-Dimensional Numeric Arrays (Vectors)
3.04: Common Vector Operations
3.05: Extending and Deleting Elements
3.06: Length and Size
3.07: Finding Minimum and Maximum Values
3.08: Logical Arrays and Logical Indexing
3.09: Scalar Arithmetic with Arrays
3.10: Element-by-Element Array Operations
3.11: Arrays as Function Arguments
3.12: Common Vector Operations
3.13: Common Mistakes and Best Practices
3.14: Chapter Exercises
04: Two-Dimensional Arrays
4.01: Learning Objectives
4.02: Why Two-Dimensional Arrays Matter
4.03: Creating and Indexing a 2D Array
4.04: Extracting Rows Columns and Subarrays
4.05: Modifying and Extending a Matrix
4.06: Concatinating 2D Arrays
4.07: Flattening and Deleting Parts of a Matrix
4.08: Logical Indexing with 2D Arrays
4.09: The end size length numel min and max functions
4.10: Special 2D Arrays
4.11: More Matrix Functions
4.12: Array Operations vs. Matrix Operations
4.13: Sorting Arrays
4.14: Logical Functions for Arrays
4.15: Common Mistakes and Best Practices
4.16: Chapter Exercises
05: Branches
5.01: Learning Objectives
5.02: Why Programs Need Branches
5.03: Conditions and Decision Making
5.04: The if Statement
5.05: The if-else Statement
5.06: Multiple Branches with if-elseif-else
5.07: The Switch Statement
5.08: Common Mistakes and Best Practices
5.09: Chapter Exercises
06: Loops
6.01: Learning Objectives
6.02: Why Do We Need Loops
6.03: while Loops
6.04: for Loops
6.05: Processing Arrays with for Loops
6.06: Nested Loops
6.07: The break Statement
6.08: The continue Statement
6.09: while Loops vs. for Loops
6.10: Common Mistakes and Best Practices
6.11: Practice Exercises
07: Strings and Character Arrays
7.01: Learning Objectives
7.02: Why Text Matters in MATLAB
7.03: Creating Strings
7.04: Creating Character Vector
7.05: Converting Between Strings and Character Vectors
7.06: Counting Characters- strlength vs. length
7.07: Comparing Text
7.08: Checking Text Types and Properties
7.09: Finding Text
7.10: Parsing and Editing Text
7.11: Converting and Formatting Text
7.12: Combining Text
7.13: Common Mistakes and Best Practices
7.14: Chapter Exercises
08: Data Structures
8.01: Learning Objectives
8.02: Introduction- When Regular Arrays are Not Enough
8.03: Review- Homogeneous and Heterogeneous Data
8.04: Cell Arrays
8.05: Structures
8.06: Arrays of Structures
8.07: Tables
8.08: Common Mistakes and Best Practices
8.09: Chapter Exercises
09: File Input - Output
9.01: Learning Objectives
9.02: Why File Input and Output Matters
9.03: Simple File I O with load and save
9.04: Limitations of load and save
9.05: The Three-Step Process for Advanced File I O
9.06: Reading Mixed Data with textscan
9.07: Reading One Line at a Time with fgetl
9.08: Writing Formatted Text with fprintf
9.09: Spreadsheet File I O
9.10: Storing File Content in an M-File
9.11: Choosing the Right File I O Tool
9.12: Common Mistakes and Best Practices
9.13: Chapter Exercises
10: Plotting
10.01: Learning Objectives
10.02: Why Data Visualization Matters
10.03: Creating Simple Plots
10.04: Creating Subplots
10.05: Plots with Error Bars
10.06: Other Common 2D Plot Types
10.07: Changing Graphics Properties
10.08: Histograms
10.09: Pie Charts
10.10: Scatter Plots
10.11: Three-Dimensional Plots
10.12: Animated Plots
10.13: Mesh and Surface Plots
10.14: Saving and Opening Figures
10.15: Choosing the Right Plot Type
10.16: Common Mistakes and Best Practices
10.17: Chapter Exercises
11: Introduction to Simulink
11.01: Learning Objectives
11.02: What is Simulink
11.03: Getting Started with Simulink
11.04: Basic Simulink Vocabulary
11.05: Example- Adding Two Numbers
11.06: Subtracting Two Numbers
11.07: Using MATLAB Variables in Simulink
11.08: Example- Evaluating an Expression
11.09: Time-Varying Signals and the Scope Block
11.10: Modeling y sin(x) x
11.11: Exporting Simulink Output to MATLAB
11.12: Solving Differential Equations in Simulink
11.13: Example- Falling Object with Air Drag
11.14: Example- Falling Object Position
11.15: Common Mistakes and Best Practices
11.16: Chapter Exercises
12: Applied Mathematics
12.01: Learning Objectives
12.02: Why Applied Mathematics Matters in MATLAB
12.03: Polynomials in MATLAB
12.04: Interpolation
12.05: Curve Fitting
12.06: Anonymous Functions
12.07: Numerical Integration
12.08: Numerical Differentiation and Polynomial Derivatives
12.09: Finding Roots
12.10: Common Mistakes and Best Practices
12.11: Chapter Exercises
13: Linear Algebra
13.01: Learning Objectives
13.02: Why Linear Algebra Matters
13.03: Vectors in MATLAB
13.04: Vectors as Physical Quantities
13.05: Vector Scalar Multiplication
13.06: Array Operations Review
13.07: Dot Product of Two Vectors
13.08: Cross Product of Two Vectors
13.09: Magnitude and Unit Vectors
13.10: Special Matrices and Matrix Operations
13.11: Matrix Addition and Subtraction
13.12: Matrix Scalar Multiplication
13.13: Matrix Multiplication
13.14: Matrix Determinant
13.15: Matrix Inverse
13.16: Linear Algebraic Equations
13.17: Writing a Linear System as Ax b
13.18: Solving Ax b
13.19: Possible Solutions to a Linear System
13.20: Strategy for Setting Up Linear Systems
13.21: Visualizing a 2 by 2 System of Equations
13.22: Common Mistakes and Best Practices
13.23: Chapter Exercises
14: Symbolic Math
14.01: Learning Objectives
14.02: Introduction- Why Symbolic Math
14.03: Creating and Evaluating Symbolic Variables and Expressions
14.04: Symbolic Differentiation
14.05: Symbolic Integration
14.06: Solving Equations Symbolically
14.07: Solving Systems of Equations
14.08: Simplifying Expanding and Factoring Expressions
14.09: Solving Differential Equations with dsolve
14.10: Plotting Symbolic Expressions
14.11: Common Mistakes and Best Practices
14.12: Chapter Exercises