{"id":17968568,"url":"https://github.com/inducer/numerics-notes","last_synced_at":"2025-05-08T03:48:23.474Z","repository":{"id":46987467,"uuid":"271179699","full_name":"inducer/numerics-notes","owner":"inducer","description":"Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis/scientific computing","archived":false,"fork":false,"pushed_at":"2025-03-07T20:28:05.000Z","size":7805,"stargazers_count":51,"open_issues_count":4,"forks_count":16,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-05-08T03:48:12.657Z","etag":null,"topics":["interpolation","jupyter-notebook","linear-algebra","notes","numerical-analysis","numerical-methods","optimization","org-mode","quadrature","root-finding","scientific-computing","teaching"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/inducer.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":"2020-06-10T04:36:38.000Z","updated_at":"2025-04-08T22:09:15.000Z","dependencies_parsed_at":"2023-02-09T16:45:48.991Z","dependency_job_id":"38dac8db-6c89-431b-816f-494e6fab66f3","html_url":"https://github.com/inducer/numerics-notes","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/inducer%2Fnumerics-notes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/inducer%2Fnumerics-notes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/inducer%2Fnumerics-notes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/inducer%2Fnumerics-notes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/inducer","download_url":"https://codeload.github.com/inducer/numerics-notes/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252996198,"owners_count":21837616,"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","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":["interpolation","jupyter-notebook","linear-algebra","notes","numerical-analysis","numerical-methods","optimization","org-mode","quadrature","root-finding","scientific-computing","teaching"],"created_at":"2024-10-29T14:40:46.900Z","updated_at":"2025-05-08T03:48:23.448Z","avatar_url":"https://github.com/inducer.png","language":"Jupyter Notebook","readme":"# Numerical Analysis/Scientific Computing\n\nSlides/notes and Jupyter notebook demos for an introductory course of numerical\nanalysis, following the textbook\n[Scientific Computing: An Introductory Survey](https://heath.cs.illinois.edu/scicomp/)\nby Michael T. Heath.\n\nDeveloped over the years while teaching [CS450](https://relate.cs.illinois.edu/course/cs450-f24/)\nin the [Department of Computer Science](https://cs.illinois.edu/)\nat the [University of Illinois](https://illinois.edu/). A number of the demos\nwere based on material initially developed by Luke Olson.\n\n-   [PDF](https://andreask.cs.illinois.edu/cs450-f24/notes.pdf) of these slides/notes (see `notes`\n    for source)\n\n-   [Demos](https://mybinder.org/v2/gh/inducer/numerics-notes/main?filepath=demos)\n    in [Binder](https://mybinder.org/)\n\n-   The demos use annotations for [`ipython-demo-tools`](https://github.com/inducer/ipython-demo-tools).\n    A `#clear` annotation at the beginning of a code cell allows the\n    `clear-marked-inputs` subcommand of\n    [`prepare-ipynb`](https://github.com/inducer/ipython-demo-tools/blob/main/prepare-ipynb)\n    to remove the content of those input cells, maybe to use them for live coding in class.\n    The `#clear` marks themselves can be removed by that `remove-marks` subcommand.\n\n-   The notes are written in [Org mode](https://orgmode.org/), which serves as a lightweight\n    markup language over LaTeX. They're easiest to edit in Emacs, but\n    [vim-orgmode](https://github.com/jceb/vim-orgmode) will do as well.\n\n    To build the notes, you need any recent version of Emacs installed. Also make sure that\n    submodules cloned properly:\n    ```\n    git submodule update --init\n    ```\n\n    Then simply change to the `notes` subdirectory and say:\n    ```\n    ./make.sh\n    ```\n    The script will optionally make use of [`latexrun`](https://github.com/cjoach/latexrun).\n    If you get\n    ```\n    There were errors; output not updated\n    ```\n    on the first go, simply rerun `make.sh`.\n\n-   `make.sh` will generate two PDFs: `notes.pdf` and `notes-folded.pdf`.\n    They differ in whether the boxes present in the notes (containing many\n    of the most salient mathematical developments) are filled in or not.\n\n    I use the un-filled version for class and fill in the boxes by hand\n    during class using [Xournal++](https://github.com/xournalpp/xournalpp/)\n    (but equivalent notetaking applications should work just as well).\n\n## Problems and Assignments\n\nIf you can demonstrate that you are teaching a related course\nat a college or university anywhere in the world, I have\nhomework assignments and projects (some of which are autograded\nusing the [RELATE](https://github.com/inducer/relate/) system)\nthat I would be happy to share with you.\n\n## MIT License\n\nCopyright (C) 2020 Andreas Kloeckner\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in\nall copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\nTHE SOFTWARE.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finducer%2Fnumerics-notes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Finducer%2Fnumerics-notes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finducer%2Fnumerics-notes/lists"}