QR factorization is a mathematical technique that decomposes a matrix into the product of an orthogonal matrix Q and an upper triangular matrix R. This factorization is widely used in solving linear systems, least squares problems, and eigenvalue computations, providing a stable and efficient method for numerical analysis.
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