{"id":20982579,"url":"https://github.com/imtjl/computational-maths","last_synced_at":"2025-09-15T07:06:29.670Z","repository":{"id":226978327,"uuid":"770094817","full_name":"Imtjl/computational-maths","owner":"Imtjl","description":"Learn Computational mathematics","archived":false,"fork":false,"pushed_at":"2024-10-06T20:20:16.000Z","size":53,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-06-03T03:58:00.408Z","etag":null,"topics":["approximation-algorithms","cpp","extrapolation","interpolation-techniques","latex","linear-algebra","maths"],"latest_commit_sha":null,"homepage":"","language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Imtjl.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-03-10T22:23:13.000Z","updated_at":"2025-04-15T21:03:15.000Z","dependencies_parsed_at":"2024-03-25T09:34:40.235Z","dependency_job_id":"40cd52c5-ee94-4cce-bda2-efb8efef451d","html_url":"https://github.com/Imtjl/computational-maths","commit_stats":null,"previous_names":["imtjl/computational-maths"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Imtjl/computational-maths","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Imtjl%2Fcomputational-maths","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Imtjl%2Fcomputational-maths/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Imtjl%2Fcomputational-maths/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Imtjl%2Fcomputational-maths/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Imtjl","download_url":"https://codeload.github.com/Imtjl/computational-maths/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Imtjl%2Fcomputational-maths/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":275219787,"owners_count":25425945,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-15T02:00:09.272Z","response_time":75,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["approximation-algorithms","cpp","extrapolation","interpolation-techniques","latex","linear-algebra","maths"],"created_at":"2024-11-19T05:46:00.798Z","updated_at":"2025-09-15T07:06:29.614Z","avatar_url":"https://github.com/Imtjl.png","language":"TeX","readme":"# Computational Maths Repository\n\nHere you can find `C++` and `LaTeX` implementations, offering detailed\n`PDF reports` available in both light and dark themes. Our focus is on various\ncomputational mathematics topics and algorithms.\n\n## Table of Contents\n\n- [x] **Linear Approximation Using Min Square Root Method\n      (`linear-approx-min-square-root`)**: Implementing linear approximation\n      through the minimal square root technique.\n\n- [x] **Solving SLAE using Gauss Main Element Method\n      (`solve-SLAE-Gauss-main-element`)**: Methodology for\n      solving systems of linear algebraic equations via the Gauss main element\n      approach.\n\n## Educational Resources\n\n- [Flow Chart Tutorial](https://otus.ru/nest/post/1727/): A comprehensive guide\n  to understanding and creating flow charts.\n- [Guide to Algorithms](https://studfile.net/preview/16570289/page:5/#16570289):\n  Explore various algorithms and their applications.\n- [LaTeX Documentation](https://www.overleaf.com/learn/latex/Management_in_a_large_project):\n  Learn to manage large LaTeX projects effectively.\n- [Invert PDF Colors](https://www.i2pdf.com/invert-pdf-colors): Tool for\n  converting PDFs to more eye-friendly color schemes.\n\n## Emojis\n\nWhen contributing, please use these emojis to categorize your commits:\n\n- 📝 `:memo:` for updating documentation or README files\n- 🧮 `:abacus:` for adding or updating mathematical equations or formulas\n- 💻 `:computer:` for adding or updating code files (`.cpp`, `.tex`, etc.)\n- 🐛 `:bug:` for fixing bugs or errors in code or equations\n- 🎨 `:art:` for improving the structure or formatting of code or documentation\n- 🚀 `:rocket:` for improving performance or optimizing code\n- ✨ `:sparkles:` for introducing new features or algorithms\n\nFeel free to explore the code and documentation in this repository. Happy coding\nand maths! 🎉\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fimtjl%2Fcomputational-maths","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fimtjl%2Fcomputational-maths","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fimtjl%2Fcomputational-maths/lists"}