{"id":27326802,"url":"https://github.com/parasj/math2605project","last_synced_at":"2026-01-31T02:02:32.469Z","repository":{"id":28820917,"uuid":"32344248","full_name":"parasj/Math2605Project","owner":"parasj","description":"Calc 3 for CS Project","archived":false,"fork":false,"pushed_at":"2015-04-03T05:37:46.000Z","size":2516,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-06-11T09:09:04.895Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Matlab","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/parasj.png","metadata":{"files":{"readme":"readme_Part1.txt","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}},"created_at":"2015-03-16T18:19:26.000Z","updated_at":"2015-05-13T21:23:38.000Z","dependencies_parsed_at":"2022-07-25T18:02:46.857Z","dependency_job_id":null,"html_url":"https://github.com/parasj/Math2605Project","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/parasj/Math2605Project","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parasj%2FMath2605Project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parasj%2FMath2605Project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parasj%2FMath2605Project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parasj%2FMath2605Project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/parasj","download_url":"https://codeload.github.com/parasj/Math2605Project/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parasj%2FMath2605Project/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28926630,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-30T22:32:35.345Z","status":"online","status_checked_at":"2026-01-31T02:00:09.179Z","response_time":128,"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":[],"created_at":"2025-04-12T11:59:35.457Z","updated_at":"2026-01-31T02:02:32.454Z","avatar_url":"https://github.com/parasj.png","language":"Matlab","funding_links":[],"categories":[],"sub_categories":[],"readme":"ANY VECTOR .dat FILES SHOULD BE INPUTTED AS TRANSPOSE VECTORS (1 x n).\n    Ex. 1 2 3 4\n\nPart 1 Readme\n\n1. lu_fact:\n\tTo test the lu_fact, run driver_lu_fact in the Matlab shell.\n\n\tIt will launch a file picker for an input .dat file and print L, U and the LU error out to the Matlab shell.\n\n\tThe lu_fact function takes in a Matlab matrix as an argument if you wish to test it directly.\n\n2. qr_fact:\n\tTo test qr_fact_househ and qr_fact_givens, run driver_qr_fact in the Matlab shell. This driver lets you choose which method you wish to solve with.\n\n\tIt will launch a file picker for an input .dat file. After that, it will ask for whether you wish to use householders or givens so calculate the QR decomposition.\n\tIt will then print L, U and the LU error out to the Matlab shell.\n\n\tThe qr_fact_househ and qr_fact_givens function takes in a Matlab matrix as an argument if you wish to test it directly.\n\n3a. solve_lu_b:\n\tTo test solve_lu_b, run driver_lu_b in the Matlab shell.\n\n\tIt will launch a file picker for an input .dat file and print x and the error out to the Matlab shell.\n\n\tThe solve_lu_b function takes in a n x (n + 1) augmented Matlab matrix as an argument if you wish to test it directly.\n\n3b. solve_qr_b:\n\tTo test solve_qr_b, run driver_lu_b in the Matlab shell. This driver lets you choose which method you wish to solve with.\n\n\tIt will launch a file picker for an input .dat file. After that, it will ask for whether you wish to use householders or givens so calculate the QR decomposition.\n\tIt will then print x and the error out to the Matlab shell.\n\n\tThe solve_qr_b function takes in a n x (n + 1) augmented Matlab matrix as an argument if you wish to test it directly.\n\n4. Solution and errors for the Hilbert matrix, Error plots\n\tTo process the Hilbert matricies in the range of 2 to n, run the command runHilbertSolution(2, n) where n is the last Hilbert matrix to process.\n\n\tWait a few seconds to let the program run and a graph will appear.\n\tThe human readable output on the results are written to the folder Part1/written/hilbert_partd.txt.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparasj%2Fmath2605project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fparasj%2Fmath2605project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparasj%2Fmath2605project/lists"}