Abstract
The generalized QR factorization, also known as GQR factorization, is a method that simultaneously transforms two matrices A and B in a triangular form. In this paper, we show the application of GQR factorization in solving linear equality-constrained least square problems; in addition, we explain how to use GQR factorization for solving quaternion least-square problems through the matrix representation of quaternions.
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