A beginner-friendly MATLAB console application for performing common matrix and linear algebra operations with robust input validation and professionally formatted console output.
- Features
- Supported Operations
- Preview
- Requirements
- Installation
- Usage
- Project Structure
- Design Goals
- Contributing
- License
- Matrix Addition
- Matrix Subtraction
- Matrix Multiplication
- Scalar Multiplication
- Matrix Transpose
- Matrix Inverse
- Determinant
- Rank
- Trace
- Input Validation
- Interactive Console Menu
- Formatted Side-by-Side Output
| Operation | Status |
|---|---|
| Matrix Addition | ✅ |
| Matrix Subtraction | ✅ |
| Matrix Multiplication | ✅ |
| Scalar Multiplication | ✅ |
| Matrix Transpose | ✅ |
| Matrix Inverse | ✅ |
| Determinant | ✅ |
| Rank | ✅ |
| Trace | ✅ |
- MATLAB R2020b or later
Note: Octave compatibility is not officially guaranteed. Some formatting behavior may differ.
Clone the repository:
git clone https://github.com/TechiError/matlab-matrix-toolkit.git
cd matlab-matrix-toolkitOpen the project in MATLAB and run:
main- Launch the application by running
main.m. - Select the desired matrix operation from the menu.
- Enter the matrix dimensions.
- Input matrix values row by row.
- View the formatted result directly in the MATLAB Command Window.
MATLAB-Matrix-Toolkit/
│
├── functions/
│ ├── displayMenu.m
│ ├── inputMatrix.m
│ ├── printOperation.m
│ └── validateChoice.m
│
├── screenshots/
│ ├── addition.png
│ └── trace.png
│
├── LICENSE
├── README.md
├── CHANGELOG.md
└── main.m
- Clean and modular MATLAB code
- Beginner-friendly implementation
- Reusable utility functions
- Robust user input validation
- Professional console output formatting
- Easy to extend with additional matrix operations
Contributions, suggestions, and bug reports are welcome.
If you find a bug or have an idea for improvement, feel free to open an issue or submit a pull request.
This project is licensed under the MIT License.
See the LICENSE file for details.
TechiError
GitHub: @TechiError
This project was developed to practice modular MATLAB programming while providing a simple toolkit for common matrix operations. It emphasizes clean code organization, reusable functions, input validation, and readable console output while leveraging MATLAB's built-in linear algebra capabilities instead of reimplementing standard algorithms.

