Learn MATLAB with Real Code Examples

MATLAB provides an interactive environment for numerical computation and algorithm development.

It has extensive built-in functions for linear algebra, statistics, signal processing, optimization, and more.

Commonly used for engineering simulations, data analysis, prototyping, and visualization.

High-level interpreted language

Matrix-centric syntax and operations

Toolboxes for specialized domains

Simulink for simulation and model-based design

Cross-platform support (Windows, macOS, Linux)

Matrix and vector manipulation

Scripts and function files (.m)

Toolboxes for domain-specific functions

Plotting and visualization commands

Simulink for modeling dynamic systems

Scripts/ - main workflow scripts

Functions/ - reusable MATLAB functions

Data/ - datasets for analysis

Models/ - Simulink or other models

Results/ - plots, figures, and output files

Write MATLAB scripts (.m files) or functions

Test and debug in the interactive environment

Use toolboxes for specialized computations

Integrate Simulink models if required

Optimize using profiling tools

Beginner: basic matrix operations and plotting

Intermediate: data analysis and simulations

Advanced: control systems and machine learning

Expert: large-scale engineering simulations

Enterprise: integrated systems with hardware-in-the-loop

Slower than C/C++ but faster for prototyping

More specialized than Python for engineering

Toolboxes provide domain-specific advantage

Interactive environment vs command-line languages

Less suited for large-scale software projects

1970s – MATLAB created by Cleve Moler

1984 – Commercial release by MathWorks

1990s – Introduction of GUI and toolboxes

2000s – Simulink integration and OOP support

2025 – Latest MATLAB R2025a with enhanced AI and ML toolboxes

Script: a file of MATLAB commands executed sequentially

Function: a reusable MATLAB block with inputs and outputs

Matrix: fundamental data type in MATLAB

Toolbox: collection of specialized functions

Simulink: graphical environment for modeling dynamic systems