Please use this identifier to cite or link to this item: https://doi.org/10.1137/S0895479898346983
Title: On the computation of the restricted singular value decomposition via the cosine-sine decomposition
Authors: Chu, D. 
De Lathauwer, L.
De Moor, B.
Keywords: Cosine-sine decomposition
QR-factorization
Restricted singular value decomposition
Singular value decomposition
URV decomposition
Issue Date: 2001
Source: Chu, D., De Lathauwer, L., De Moor, B. (2001). On the computation of the restricted singular value decomposition via the cosine-sine decomposition. SIAM Journal on Matrix Analysis and Applications 22 (2) : 580-601. ScholarBank@NUS Repository. https://doi.org/10.1137/S0895479898346983
Abstract: In this paper, we show that the restricted singular value decomposition of a matrix triplet A ∈ Rn x m, B ∈ Rn x l, C ∈ Rp x m can be computed by means of the cosine-sine decomposition. In the first step, the matrices A, B, C are reduced to a lower-dimensional matrix triplet A, B, C, in which B and C are nonsingular, using orthogonal transformations such as the QR-factorization with column pivoting and the URV decomposition. In the second step, the components of the restricted singular value decomposition of A, B, C are derived from the singular value decomposition of B-1 AC-1. Instead of explicitly forming the latter product, a link with the cosine-sine decomposition, which can be computed by Van Loan's method, is exploited. Some numerical examples are given to show the performance of the presented method.
Source Title: SIAM Journal on Matrix Analysis and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/103780
ISSN: 08954798
DOI: 10.1137/S0895479898346983
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