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algebra > linear algebra > matrix > QR decomposition

Preferred term

QR decomposition  

Definition

  • 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 algorithm.
    (Wikipedia, The Free Encyclopedia, https://en.wikipedia.org/wiki/QR_decomposition)

Broader concept

Synonym(s)

  • QR factorization
  • QU factorization

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URI

http://data.loterre.fr/ark:/67375/PSR-F4F825C6-K

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