imtjl / computational-maths

Learn Computational mathematics

Computational Maths Repository

Here you can find C++ and LaTeX implementations, offering detailed PRF 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): In Progress. Methodology for solving systems of linear algebraic equations via the Gauss main element approach.

Educational Resources

• Flow Chart Tutorial: A comprehensive guide to understanding and creating flow charts.
• Guide to Algorithms: Explore various algorithms and their applications.
• LaTeX Documentation: Learn to manage large LaTeX projects effectively.
• Invert PDF Colors: Tool for converting PDFs to more eye-friendly color schemes.

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! 🎉