https://github.com/imtjl/computational-maths

Learn Computational mathematics
https://github.com/imtjl/computational-maths

approximation-algorithms cpp extrapolation interpolation-techniques latex linear-algebra maths

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Learn Computational mathematics

• Host: GitHub
• URL: https://github.com/imtjl/computational-maths
• Owner: Imtjl
• Created: 2024-03-10T22:23:13.000Z (10 months ago)
• Default Branch: master
• Last Pushed: 2024-08-05T23:20:55.000Z (5 months ago)
• Last Synced: 2024-08-06T02:02:06.816Z (5 months ago)
• Topics: approximation-algorithms, cpp, extrapolation, interpolation-techniques, latex, linear-algebra, maths
• Language: TeX
• Homepage:
• Size: 49.8 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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

- [x] **Linear Approximation Using Min Square Root Method

      (`linear-approx-min-square-root`)**: Implementing linear approximation

      through the minimal square root technique.

- [x] **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

- [Flow Chart Tutorial](https://otus.ru/nest/post/1727/): A comprehensive guide

  to understanding and creating flow charts.

- [Guide to Algorithms](https://studfile.net/preview/16570289/page:5/#16570289):

  Explore various algorithms and their applications.

- [LaTeX Documentation](https://www.overleaf.com/learn/latex/Management_in_a_large_project):

  Learn to manage large LaTeX projects effectively.

- [Invert PDF Colors](https://www.i2pdf.com/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! 🎉