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- Q453132 subject Q6975251.
- Q453132 abstract "In numerical linear algebra, the QR algorithm is an eigenvalue algorithm: that is, a procedure to calculate the eigenvalues and eigenvectors of a matrix. The QR transformation was developed in the late 1950s by John G.F. Francis (England) and by Vera N. Kublanovskaya (USSR), working independently. The basic idea is to perform a QR decomposition, writing the matrix as a product of an orthogonal matrix and an upper triangular matrix, multiply the factors in the reverse order, and iterate.".
- Q453132 wikiPageExternalLink QRMethodMod.html.
- Q453132 wikiPageExternalLink qr.pdf.
- Q453132 wikiPageExternalLink dbdsqr.f.
- Q453132 wikiPageExternalLink dgesvd.f.
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- Q453132 wikiPageWikiLink Q6975251.
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- Q453132 wikiPageWikiLink Q978688.
- Q453132 comment "In numerical linear algebra, the QR algorithm is an eigenvalue algorithm: that is, a procedure to calculate the eigenvalues and eigenvectors of a matrix. The QR transformation was developed in the late 1950s by John G.F. Francis (England) and by Vera N. Kublanovskaya (USSR), working independently. The basic idea is to perform a QR decomposition, writing the matrix as a product of an orthogonal matrix and an upper triangular matrix, multiply the factors in the reverse order, and iterate.".
- Q453132 label "QR algorithm".