QR decomposition is a method in linear algebra for decomposing a matrix into the product of two matrices: an orthogonal matrix \( Q \) and an upper triangular matrix \( R \).
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A reduced QR decomposition of a full-column-rank matrix writes , where has orthonormal columns and is upper triangular with positive diagonal.