QR/RQ/QL/LQ factorizations

Version 1.9.0.4 (15 KB) von Ivo Houtzager
QR/RQ/QL/LQ factorizations of an array.
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4,9K Downloads
Aktualisiert 7. Apr 2021
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Currently RQ, QL, and LQ factorizations are not included in Matlab, although these factorizations can also be done by QR function and additional matrix manipulations if matrix is square. Therefore I wrote these mex files, which uses the internal LAPACK routines of Matlab. QR1 is added to complete the set. They can also handle empty matrices. Enforcing positive elements on diagonal R matrix or column pivoting is supported by the QR1 factorization only.

Zitieren als

Ivo Houtzager (2024). QR/RQ/QL/LQ factorizations (https://github.com/iwoodsawyer/factor/releases/tag/v1.9.0.4), GitHub. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2012b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
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Version Veröffentlicht Versionshinweise
1.9.0.4

See release notes for this release on GitHub: https://github.com/iwoodsawyer/factor/releases/tag/v1.9.0.4
1.9.0.3

See release notes for this release on GitHub: https://github.com/iwoodsawyer/factor/releases/tag/v1.9.0.3
1.9.0.2

Fix copy issue in the interleaved complex LQ

1.9.0.1

Fix compiler warnings
1.9.0.0

Support for new Interleaved Complex API
1.8.1.0

Update make_factor script for mingw64 compiler to link correct blas/lapack libraries to prevent access violation error.
1.8.0.0

Add option for QR to enforce positive elements on diagonal R matrix
1.7.0.0

Added pivoting to the QR1 function using the *GEQP3 Lapack routines.
1.6.0.0

typo
1.5.0.0

Fix crash in QL/RQ for non-sqaure matrices
Fix make script for newer matlab versions
1.4.0.0

Fixes for new integer data types in newer Matlab versions.
1.3.0.0

add documentation
1.2.0.0

Included the updates as in the comments.
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.