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A comprehensive numerical library for scientific computing, mathematical analysis, machine learning and iterative processes in C#. NuGet Package

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✨ Features

• 🔢 Numerical Analysis
  Core algorithms for root finding, integration, interpolation and solving differential equations built for precision and performance.

• 📊 Statistics
  Descriptive statistics, probability distributions and hypothesis testing for robust data analysis.

• 🤖 Machine Learning
  Foundations for crossvalidation, regression, classification and optimization designed for explainability and numerical stability.

• ⚛️ Physics
  Mathematical tools and models inspired by classical and computational physics applications.

🎓 Learning Resources

CSharpNumerics – YouTube Playlist

A playlist covering numerical methods and scientific computing in C#.

🚀 Future Directions

We are continuously working to improve CsharpNumerics and plan to focus on the following areas:

1. Enhanced Cross-Validation Tools
   Improving the numerical and statistical methods for robust model validation.

2. Expansion of the Physics Module
   Adding more advanced physics models and simulations while leveraging the existing linear algebra foundation.

3. Improved Documentation and Examples
   Providing clearer guides, tutorials, and practical examples to make the library more accessible.

4. Classical Quantum Circuit Simulation
   Implementing CPU-based quantum circuit simulations for educational purposes, enabling students and developers to explore quantum algorithms without access to quantum hardware.