This Flutter app is a comprehensive numerical toolbox implementing various algorithms and methods described in Numerical Analysis by Richard L. Burden and J. Douglas Faires. It aims to provide a versatile solution for solving equations and performing complex computations commonly encountered in mathematical and scientific fields.
The app covers a wide spectrum of numerical algorithms categorized into different modules, each catering to specific mathematical problems. Users can access these modules through a user-friendly interface, enabling them to input equations or data sets and apply the desired method to obtain accurate solutions.
- Download the app from here
- Bisection Method
- Fixed Point Method
- Newton Method
- Modified Newton Method
- Secant Method
- Regula Falsi Method (Method of False Position)
- User-friendly Interface: Intuitive interface allowing users to input equations, select algorithms, and view detailed step-by-step solutions or concise results.
- Educational Tool: Ideal for students, academics, and professionals for understanding and applying numerical methods.
- Accuracy and Efficiency: Algorithms are optimized for accuracy and efficiency to handle a wide range of mathematical problems.
- Customizable Outputs: Provides options for viewing results in detailed or summary formats based on user preferences.
- Platform Compatibility: Compatible with various devices running Flutter, ensuring accessibility across different platforms.
- Clone the Repository:
git clone https://github.com/yourusername/numerical-methods-app.git - Open in Flutter: Open the project in Flutter/Dart-supported IDE (e.g., Android Studio, VSCode).
- Run the App: Launch the app on an emulator or physical device using
flutter run.
- Launch the app and navigate to the desired numerical method category.
- Input the required parameters, equations, or data sets.
- Select the specific algorithm or method you want to apply.
- Obtain solutions or results with detailed step-wise explanations or concise output, depending on the selected method.
- Contributions: Contributions, bug reports, or suggestions for enhancements are highly appreciated. Submit pull requests or open issues to contribute.
- Feedback: Feel free to provide feedback or feature requests through GitHub issues or contact the development team directly.
This project is licensed under the MIT License - you're free to modify, distribute, and use the code for personal or commercial projects.