{"id":21747344,"url":"https://github.com/sn2606/scicomp","last_synced_at":"2025-10-14T09:36:00.320Z","repository":{"id":203694788,"uuid":"287592372","full_name":"sn2606/SciComp","owner":"sn2606","description":"A library of implementations of Numerical Methods; explores applications of Data Structures and Algorithms.","archived":false,"fork":false,"pushed_at":"2020-10-28T12:39:59.000Z","size":20565,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-21T02:21:14.251Z","etag":null,"topics":["algorithms","c","crout-method","doolittle-method","gauss-jordan-elimination","linear-algebra","numerical-methods","numerical-recipes","statistics","strassen-algorithm"],"latest_commit_sha":null,"homepage":"","language":"C","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/sn2606.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}},"created_at":"2020-08-14T17:51:32.000Z","updated_at":"2022-11-05T11:30:27.000Z","dependencies_parsed_at":null,"dependency_job_id":"dc7fe3bf-a056-45ab-8e99-19b6df62def9","html_url":"https://github.com/sn2606/SciComp","commit_stats":null,"previous_names":["sn2606/scicomp"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sn2606/SciComp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sn2606%2FSciComp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sn2606%2FSciComp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sn2606%2FSciComp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sn2606%2FSciComp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sn2606","download_url":"https://codeload.github.com/sn2606/SciComp/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sn2606%2FSciComp/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279018625,"owners_count":26086404,"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":"2025-10-14T02:00:06.444Z","response_time":60,"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":["algorithms","c","crout-method","doolittle-method","gauss-jordan-elimination","linear-algebra","numerical-methods","numerical-recipes","statistics","strassen-algorithm"],"created_at":"2024-11-26T08:08:43.577Z","updated_at":"2025-10-14T09:36:00.278Z","avatar_url":"https://github.com/sn2606.png","language":"C","readme":"# SciComp\nScientific Computation library in C, focusing on 2 modules - Linear Algebra and Statistics\n\n## Reference : \n\nNumerical Recipes in C, The Art of Scientific Computing (Second Edition);\n\nNumerical Recipes, The Art of Scientific Computing (Third Edition)\n\nWilliam H. Press, \nSaul A. Teukolsky, \nWilliam T. Vellerling, \nBrian P. Flannery, \n\n\n## Guidelines :\n\nComplex ADT, Vector ADT, Matrix ADT - some utility functions put together\n\n\nInput - all data that can be used for testing\n\n\nInput Program - program that can be used to generate input\n\n\nTesting - header files and processor-timing programs that can be used to generate output\n\n\nResults - CSV files and jupyter notebook containing the results of testing\n\n\nLinear Algebra - Has methods like crout's, doolittle's algorithm, strassen's algorithm, Gauss Jordan method\n\n\nStatistics - Has correlation, moments of distribution so far\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsn2606%2Fscicomp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsn2606%2Fscicomp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsn2606%2Fscicomp/lists"}