Numerical Analysis Toolbox

The Numerical Analysis Toolbox is a React web application designed to help you solve mathematical problems using a collection of numerical methods. Whether you need to calculate polynomial roots or perform linear algebraic operations, this toolbox has you covered. It's a versatile tool for students, educators, and professionals working with numerical computations.

Features:

• User-friendly web interface.
• Accurate and efficient numerical methods.
• Support for both polynomial and linear algebraic calculations.
• Interactive visualizations to aid understanding.
• Easily accessible from any web browser.

Numerical Methods

• Polynomial methods
  • Bisection
  • False Position
  • Fixed-Point
  • Newton's
  • Secant
• Linear algebric methods
  • Gauss Elimination
  • LU Decomposition
  • Cramers Rule
  • Gauss Jordan

Getting Started

1. Clone the repository to your local machine using git clone https://github.com/mohammedshady/numerical-analysis-toolbox.git.
2. Navigate to the project directory using cd numerical-analysis-toolbox.
3. Install the required dependencies using npm install.
4. Start the React development server using npm start.
5. Access the application in your web browser at http://localhost:3000.

Future Updates

We're committed to improving the Numerical Analysis Toolbox to make it even more powerful and user-friendly. Here are some of the planned updates and enhancements:

Better Calculation Handling

• Implement advanced algorithms to enhance the accuracy and speed of calculations.
• Add support for handling more complex mathematical functions.
• Optimize memory usage for large datasets.

Improved Results UI

• Redesign the results interface for better clarity and visualization.
• Provide detailed explanations and insights into calculation results.
• Customize result presentation based on user preferences.

Additional Features

• Expand the toolbox with additional numerical methods and mathematical tools.
• Integrate export options to save and share results conveniently.
• Develop a mobile-friendly version for on-the-go calculations.

Authors

• Mohammed Shady - GitHub Profile:mohammedshady | Email:[email protected]

If you encounter any issues while using the Numerical Analysis Toolbox or have suggestions for improvements, please don't hesitate to reach out via email. Your feedback is valuable and helps us make this toolbox better for everyone.