{"id":28452710,"url":"https://github.com/juliasmoothoptimizers/qrmumps.jl","last_synced_at":"2025-06-27T23:31:26.236Z","repository":{"id":43799600,"uuid":"58434565","full_name":"JuliaSmoothOptimizers/QRMumps.jl","owner":"JuliaSmoothOptimizers","description":"Interface to multicore QR factorization 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A [Julia](http://julialang.org) Interface to [qr_mumps](https://qr_mumps.gitlab.io/)\n\n| **Documentation** | **Linux/macOS/Windows/FreeBSD** | **Coverage** | **DOI** |\n|:-----------------:|:-------------------------------:|:------------:|:-------:|\n| [![docs-stable][docs-stable-img]][docs-stable-url] [![docs-dev][docs-dev-img]][docs-dev-url] | [![build-gh][build-gh-img]][build-gh-url] [![build-cirrus][build-cirrus-img]][build-cirrus-url] | [![codecov][codecov-img]][codecov-url] | [![doi][doi-img]][doi-url] |\n\n[docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg\n[docs-stable-url]: https://JuliaSmoothOptimizers.github.io/QRMumps.jl/stable\n[docs-dev-img]: https://img.shields.io/badge/docs-dev-purple.svg\n[docs-dev-url]: https://JuliaSmoothOptimizers.github.io/QRMumps.jl/dev\n[build-gh-img]: https://github.com/JuliaSmoothOptimizers/QRMumps.jl/workflows/CI/badge.svg?branch=main\n[build-gh-url]: https://github.com/JuliaSmoothOptimizers/QRMumps.jl/actions\n[build-cirrus-img]: https://img.shields.io/cirrus/github/JuliaSmoothOptimizers/QRMumps.jl?logo=Cirrus%20CI\n[build-cirrus-url]: https://cirrus-ci.com/github/JuliaSmoothOptimizers/QRMumps.jl\n[codecov-img]: https://codecov.io/gh/JuliaSmoothOptimizers/QRMumps.jl/branch/main/graph/badge.svg\n[codecov-url]: https://app.codecov.io/gh/JuliaSmoothOptimizers/QRMumps.jl\n[doi-img]: https://img.shields.io/badge/DOI-10.5281%2Fzenodo.4716114-blue.svg\n[doi-url]: https://doi.org/10.5281/zenodo.4716114\n\n## How to Cite\n\nIf you use QRMumps.jl in your work, please cite using the format given in [`CITATION.bib`](https://github.com/JuliaSmoothOptimizers/QRMumps.jl/blob/main/CITATION.bib).\n\n## How to install\n\n```julia\njulia\u003e ]\npkg\u003e add QRMumps\npkg\u003e test QRMumps\n```\n\n## Content\n\n[qr_mumps](https://qr_mumps.gitlab.io/) is a software package for the solution of sparse, linear systems on multicore computers.\nIt implements a direct solution method based on the QR or Cholesky factorization of the input matrix. \nTherefore, it is suited to solving sparse least-squares problems, to computing the minimum-norm solution of sparse, underdetermined problems and to solving symmetric, positive-definite sparse linear systems.\nIt can obviously be used for solving square unsymmetric problems in which case the stability provided by the use of orthogonal transformations comes at the cost of a higher operation count with respect to solvers based on, e.g., the LU factorization such as [MUMPS](https://mumps-solver.org/index.php).\nIt supports real and complex, single or double precision arithmetic.\n\n## Custom Installation\n\n**Note: qr_mumps is already precompiled with Yggdrasil for all platforms.**\n\nTo use your custom qr_mumps, set the environment variable `JULIA_QRMUMPS_LIBRARY_PATH`\nto point to the folder holding the qr_mumps shared libraries before `using QRMumps`.\nNote that the same version of qr_mumps as used by the `qr_mumps_jll` artifact is needed.\nTo initialize qr_mumps with a custom installation, the function [`qrm_init`](https://juliasmoothoptimizers.github.io/QRMumps.jl/stable/api/#QRMumps.qrm_init) must be called prior to any other functions of QRMumps.jl.\n\nFor example:\n```bash\nbrew tap dpo/mumps-jl\nbrew install qr_mumps\nexport JULIA_QRMUMPS_LIBRARY_PATH=$(brew --prefix)/opt/qr_mumps/lib\n```\n\nApple Silicon users should remember to use `arch x86_64 brew` to refer to Intel binaries run through Rosetta, as we do not (yet) ship Silicon binaries of qr_mumps via Homebrew.\n\nThe `JULIA_QRMUMPS_LIBRARY_PATH` environment variable may be set permanently in the shell's startup file, or in `$HOME/.julia/config/startup.jl`.\n\n## References\n\n\u003e Emmanuel Agullo, Alfredo Buttari, Abdou Guermouche, and Florent Lopez (2016).\n\u003e Implementing multifrontal sparse solvers for multicore architectures with sequential task flow runtime systems.\n\u003e ACM Trans. Math. Softw., 43(2):13:1–13:22.\n\u003e [10.1145/2898348](http://dx.doi.org/10.1145/2898348)\n\n\u003e Emmanuel Agullo, Alfredo Buttari, Abdou Guermouche, and Florent Lopez (2015).\n\u003e Task-based multifrontal QR solver for GPU-accelerated multicore architectures.\n\u003e In HiPC, pages 54–63. IEEE Computer Society.\n\u003e [10.1109/HiPC.2015.27](http://dx.doi.org/10.1109/HiPC.2015.27)\n\n## Bug reports and discussions\n\nIf you think you found a bug, feel free to open an [issue](https://github.com/JuliaSmoothOptimizers/QRMumps.jl/issues).\nFocused suggestions and requests can also be opened as issues. Before opening a pull request, start an issue or a discussion on the topic, please.\n\nIf you want to ask a question not suited for a bug report, feel free to start a discussion [here](https://github.com/JuliaSmoothOptimizers/Organization/discussions). This forum is for general discussion about this repository and the [JuliaSmoothOptimizers](https://github.com/JuliaSmoothOptimizers) organization, so questions about any of our packages are welcome.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuliasmoothoptimizers%2Fqrmumps.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjuliasmoothoptimizers%2Fqrmumps.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuliasmoothoptimizers%2Fqrmumps.jl/lists"}