Rank-Revealing QR factorization

Version 1.5.0.2 (213 KB) von Ivo Houtzager
Rank-Revealing QR factorization of an array
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2,2K Downloads
Aktualisiert 23. Aug 2022
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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.

Zitieren als

Ivo Houtzager (2024). Rank-Revealing QR factorization (https://github.com/iwoodsawyer/rrqr/releases/tag/v1.5.0.2), GitHub. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2012b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
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Version Veröffentlicht Versionshinweise
1.5.0.2

See release notes for this release on GitHub: https://github.com/iwoodsawyer/rrqr/releases/tag/v1.5.0.2
1.5.0.1

See release notes for this release on GitHub: https://github.com/iwoodsawyer/rrqr/releases/tag/v1.5.0.1
1.5.0.0

Support for new Interleaved Complex API
Fixed some compiler warnings
1.4.1.0

Update make script for mingw64 compiler to link correct blas/lapack libraries to prevent access violation error
1.4.0.0

The compilation of the RRQR source code is added to the make script.
Fix make script for newer matlab versions.
Fix integer data types for newer matlab versions.
1.3.0.0

some small fixes for 64bit
1.2.0.0

Updated for new Matlab 64 bit versions
1.1.0.0

Updated for new Matlab 64 bit versions
1.0.0.0

new mex-files for R2008a
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.