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- W2169378749 abstract "The authors present a stable and efficient divide-and-conquer algorithm for computing the singular value decomposition (SVD) of a lower bidiagonal matrix. Previous divide-and-conquer algorithms all suffer from a potential loss of orthogonality among the computed singular vectors unless extended precision arithmetic is used. A generalization that computes the SVD of a lower banded matrix is also presented." @default.
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- W2169378749 title "A Divide-and-Conquer Algorithm for the Bidiagonal SVD" @default.
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- W2169378749 doi "https://doi.org/10.1137/s0895479892242232" @default.
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