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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 orthonormal matrix Q and an upper triangular matrix R. QR decomposition is often used to solve the linear least squares (LLS) problem and is the basis for a particular eigenvalue algorithm, the QR…
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| QR decomposition | is a | order of these matrices.QR decomposition is Gram | 0.90 | text |
| the TSQR algorithm | instance of | as every reflection that produces a new zero element changes the entirety of both Q and R matrices.Parallel implementation of Householder QRThe Householder QR method can be impl… | 0.80 | text |
| the TSQR algorithm | instance of | Parallel implementation of Householder QRThe Householder QR method can be implemented in parallel with algorithms | 0.80 | text |
| QR decomposition | related to Computing the QR decomposition | There | 0.60 | section |
| QR decomposition | related to Computing the QR decomposition | QR | 0.60 | section |
| QR decomposition | related to Computing the QR decomposition | Gram | 0.60 | section |
| QR decomposition | related to Computing the QR decomposition | Schmidt | 0.60 | section |
| QR decomposition | related to Computing the QR decomposition | Householder | 0.60 | section |
| QR decomposition | related to Computing the QR decomposition | Givens | 0.60 | section |
| QR decomposition | related to Computing the QR decomposition | Each | 0.60 | section |
| QR decomposition | related to Connection to a determinant or a product of eigenvalues | We | 0.60 | section |
| QR decomposition | related to Connection to a determinant or a product of eigenvalues | QR | 0.60 | section |
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