QR decomposition
In linear algebra, a QR decomposition, also known as a QR factorization or QU factorization is a decomposition of a matrix A into a product A = QR of an orthogonal matrix Q and an upper triangular matrix R. QR decomposition is often used to solve the linear least squares problem and is the basis for a particular eigenvalue algorithm, the QR algorithm.
Reference:
Applied Numerical Methods Using MATLAB®
Author(s): Won Young Yang, Wenwu Cao, Tae‐Sang Chung, John Morris
First published:14 January 2005
Print ISBN:9780471698333 |Online ISBN:9780471705192 |DOI:10.1002/0471705195
Copyright © 2005 John Wiley & Sons, Inc.
Cite As
Meysam Mahooti (2024). QR decomposition (https://www.mathworks.com/matlabcentral/fileexchange/73894-qr-decomposition), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
QR Decomposition
Version | Published | Release Notes | |
---|---|---|---|
1.0.0 |