A comprehensive collection of numerical approximation methods including Taylor and Pade series, enhanced with interactive visualizations to aid in educational and research applications.
- Taylor Series Approximation: Calculate and visualize Taylor series for various functions.
- Pade Approximation: Implement and compare Pade approximation against standard functions.
- Interactive Visualizations: Utilize Python's plotting libraries to see how approximations converge to the actual functions.
Clone the repository and install the required packages:
git clone https://github.com/gioda/FunctionApproxToolkit.git
cd FunctionApproxToolkit
pip install -r requirements.txtRun the main script to see examples of function approximations:
python main.pyYou can generate plots for any supported function by modifying the main.py file to include the function of your interest.
Contributions are welcome! Please feel free to submit a Pull Request or open an issue for any bugs or feature requests.
# Clone the repository
git clone https://github.com/gioda/FunctionApproxToolkit.git
# Create a new branch
git checkout -b feature_branch_name
# Make your changes
# Commit your changes
git commit -am 'Add some feature'
# Push to the branch
git push origin feature_branch_nameDistributed under the MIT License. See LICENSE for more information.
- Hat tip to anyone whose code was used
- ...
Giovanni Dalmasso - @giodalmasso - gio.dalmasso@gmail.com
Project Link: https://github.com/gioda/FunctionApproxToolkit