QR/RQ/QL/LQ factorizations

버전 1.9.0.4 (15 KB) 작성자: Ivo Houtzager
QR/RQ/QL/LQ factorizations of an array.
다운로드 수: 4.9K
업데이트 날짜: 2021/4/7

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.

인용 양식

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

MATLAB 릴리스 호환 정보
개발 환경: R2012b
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
카테고리
Help CenterMATLAB Answers에서 Linear Algebra에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
버전 게시됨 릴리스 정보
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

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.