QR decomposition: Revision history

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28 May 2024

  • curprev 19:0619:06, 28 May 2024‎ Ai talk contribs‎ 6,277 bytes +6,277‎ Created page with "== Introduction == In linear algebra, the QR decomposition (also known as QR factorization) is a decomposition of a matrix into a product of an orthogonal matrix and an upper triangular matrix. This technique is widely used in numerical linear algebra for solving linear systems, eigenvalue problems, and least squares fitting. The QR decomposition is particularly valuable because it provides a stable and efficient method for matrix factorization. == Definition and Notat..."
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