technique used in linear algebra to factorize a matrix A into a product of an orthogonal matrix Q and an upper triangular matrix R, such that A = QR. This decomposition is particularly useful in various numerical algorithms and applications, such as solving systems of linear equations and computing eigenvalues.
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