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Computational Maths Repository

Here you can find C++ and LaTeX implementations, offering detailed PDF reports available in both light and dark themes. Our focus is on various computational mathematics topics and algorithms.

Table of Contents

  • Linear Approximation Using Min Square Root Method (linear-approx-min-square-root): Implementing linear approximation through the minimal square root technique.

  • Solving SLAE using Gauss Main Element Method (solve-SLAE-Gauss-main-element): Methodology for solving systems of linear algebraic equations via the Gauss main element approach.

Educational Resources

Emojis

When contributing, please use these emojis to categorize your commits:

  • 📝 :memo: for updating documentation or README files
  • 🧮 :abacus: for adding or updating mathematical equations or formulas
  • 💻 :computer: for adding or updating code files (.cpp, .tex, etc.)
  • 🐛 :bug: for fixing bugs or errors in code or equations
  • 🎨 :art: for improving the structure or formatting of code or documentation
  • 🚀 :rocket: for improving performance or optimizing code
  • :sparkles: for introducing new features or algorithms

Feel free to explore the code and documentation in this repository. Happy coding and maths! 🎉