Rank-Revealing QR factorization
Rank-Revealing QR factorization of an array
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Rank-Revealing QR factorization of an array. The mex-functions are using the rank-revealing QR routines xGEQPX and xGEQPY from ACM Algorithm 782. Can also handle complex and single precision array's.
Cite As
Ivo Houtzager (2026). Rank-Revealing QR factorization (https://github.com/iwoodsawyer/rrqr/releases/tag/v1.5.0.2), GitHub. Retrieved .
General Information
- Version 1.5.0.2 (213 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.5.0.2 | See release notes for this release on GitHub: https://github.com/iwoodsawyer/rrqr/releases/tag/v1.5.0.2 |
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| 1.5.0.1 | See release notes for this release on GitHub: https://github.com/iwoodsawyer/rrqr/releases/tag/v1.5.0.1 |
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| 1.5.0.0 | Support for new Interleaved Complex API
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| 1.4.1.0 | Update make script for mingw64 compiler to link correct blas/lapack libraries to prevent access violation error |
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| 1.4.0.0 | The compilation of the RRQR source code is added to the make script.
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| 1.3.0.0 | some small fixes for 64bit |
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| 1.2.0.0 | Updated for new Matlab 64 bit versions |
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| 1.1.0.0 | Updated for new Matlab 64 bit versions |
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| 1.0.0.0 | new mex-files for R2008a |
