QR decomposition

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Notion

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Science and technology

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What Wikipedia says

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.

Excerpt from the Wikipedia article “QR decomposition”, under the CC BY-SA 4.0 license. Read the article on Wikipedia