On graded QR decompositions of products of matrices
The author introduces a new method to compute the singular values and vectors of a product of \(n \times n\) matrices. The method is based on the successive factorization \(A_1 A_2 \dots A_m = QRP^T\), where \(Q\) is orthogonal, \(R\) is graded upper triangular, and \(P\) is a permutation matrix.
scientific article; zbMATH DE number 918309