https://github.com/brenofariasdasilva/matlab
My MatLab Drive Files.
https://github.com/brenofariasdasilva/matlab
artificial-intelligence calculus matlab numerical-calculus
Last synced: 7 months ago
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My MatLab Drive Files.
- Host: GitHub
- URL: https://github.com/brenofariasdasilva/matlab
- Owner: BrenoFariasdaSilva
- License: apache-2.0
- Created: 2023-11-22T11:35:35.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-28T20:20:16.000Z (over 1 year ago)
- Last Synced: 2025-01-23T12:28:34.967Z (9 months ago)
- Topics: artificial-intelligence, calculus, matlab, numerical-calculus
- Language: MATLAB
- Homepage:
- Size: 17.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# [MatLab.](https://github.com/BrenoFariasdaSilva/MatLab) 
---
My MatLab Drive Files.
---
## Table of Contents
- [MatLab. ](#matlab-)
- [Table of Contents](#table-of-contents)
- [Introduction](#introduction)
- [Key Features](#key-features)
- [Why MatLab?](#why-matlab)
- [Requirements](#requirements)
- [Install MatLab](#install-matlab)
- [Setup](#setup)
- [Clone the repository](#clone-the-repository)
- [Contributing](#contributing)
- [License](#license)
- [Creative Commons Zero v1.0 Universal](#creative-commons-zero-v10-universal)
## Introduction
Welcome to the MatLab repository, a comprehensive collection of MatLab files showcasing various projects, including implementations in Artificial Intelligence, Calculus, and more. Whether you're a student, researcher, or enthusiast, this repository serves as a little hub for MatLab code, providing a diverse set of tools and solutions across different domains.
Also, be aware that you must have a minimum understanding of MatLab to run the files in this repository. If you're new to MatLab, consider checking out the [MatLab documentation](https://www.mathworks.com/help/matlab/) to get started.
### Key Features
- **Artificial Intelligence:** Explore implementations of MatLab code for various AI algorithms, from machine learning models to neural networks.
- **Calculus:** Access MatLab files that demonstrate solutions and applications of calculus concepts, making it a valuable resource for mathematics enthusiasts.
### Why MatLab?
MatLab is a powerful numerical computing environment widely used in academia and industry. Its versatility and rich set of features make it an ideal choice for developing and implementing algorithms in various fields.
## Requirements
Before getting started with the MatLab repository, ensure that you have the following requirements in place:
- **MatLab Installation:** MatLab is the core platform for running the MatLab files in this repository. If you don't have MatLab installed, follow the installation instructions provided below.
### Install MatLab
1. Download Matlab from [Here](https://matlab.mathworks.com/) and download it.
2. Then, run the following commands:
```bash
unzip -qq matlab*.zip -d matlab
cd matlab
sudo ./install
```
3. During the installation process, in the "Options" tab, select "Create Symbolic Links to MATLAB Scripts in" and select the folder `/usr/local/bin`.
4. To run the MATLAB directly using the Command line terminal, we have to create a Symbolic for its script, run the following command:
```bash
sudo ln -s //matlab /usr/local/bin/matlab
```
5. Lastly, install the MatLab Support Package, which also creates the Application Icon, run the following command:
```bash
sudo apt install matlab-support -y
```
## Setup
### Clone the repository
1. Clone the repository with the following command:
```bash
git clone https://github.com/BrenoFariasdaSilva/MatLab.git
cd MatLab
```
## Contributing
Code improvement recommendations are very welcome. In order to contribute, follow the steps below:Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**. If you have suggestions for improving the code, your insights will be highly welcome.
In order to contribute to this project, please follow the guidelines below or read the [CONTRIBUTING.md](CONTRIBUTING.md) file for more details on how to contribute to this project, as it contains information about the commit standards and the entire pull request process.
Please follow these guidelines to make your contributions smooth and effective:
1. **Set Up Your Environment**: Ensure you've followed the setup instructions in the [Setup](#setup) section to prepare your development environment.
2. **Make Your Changes**:
- **Create a Branch**: `git checkout -b feature/YourFeatureName`
- **Implement Your Changes**: Make sure to test your changes thoroughly.
- **Commit Your Changes**: Use clear commit messages, for example:
- For new features: `git commit -m "FEAT: Add some AmazingFeature"`
- For bug fixes: `git commit -m "FIX: Resolve Issue #123"`
- For documentation: `git commit -m "DOCS: Update README with new instructions"`
- For refactorings: `git commit -m "REFACTOR: Enhance component for better aspect"`
- For snapshots: `git commit -m "SNAPSHOT: Temporary commit to save the current state for later reference"`
- See more about crafting commit messages in the [CONTRIBUTING.md](CONTRIBUTING.md) file.
3. **Submit Your Contribution**:
- **Push Your Changes**: `git push origin feature/YourFeatureName`
- **Open a Pull Request (PR)**: Navigate to the repository on GitHub and open a PR with a detailed description of your changes.
4. **Stay Engaged**: Respond to any feedback from the project maintainers and make necessary adjustments to your PR.
5. **Celebrate**: Once your PR is merged, celebrate your contribution to the project!
## License
### Creative Commons Zero v1.0 Universal
This project is licensed under the [Creative Commons Zero v1.0 Universal](LICENSE), which means you are free to use, modify, and distribute the code. See the [LICENSE](LICENSE) file for more details.