Rank-Revealing QR factorization

Rank-Revealing QR factorization of an array
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Updated Tue, 23 Aug 2022 17:39:15 +0000

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

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
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Version Published Release Notes
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

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.