Rank-Revealing QR factorization

Versión 1.5.0.2 (213 KB) por Ivo Houtzager
Rank-Revealing QR factorization of an array
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Actualizado 23 ago 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.

Citar como

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

Compatibilidad con la versión de MATLAB
Se creó con R2012b
Compatible con cualquier versión
Compatibilidad con las plataformas
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Versión Publicado Notas de la versión
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
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.