Algorithm 977
Published in ACM Transactions on Mathematical Software • Jul 14, 2017
NobleIDNI1P87W07R01S98
Authors:
Zlatko Drmač
Abstract
A new software for computing the singular value decomposition (SVD) of real or complex matrices is proposed. The method implemented in the code xGESVDQ is essentially the QR SVD algorithm available as xGESVD in LAPACK. The novelty is an extra step, the QR factorization with column (or complete row a...
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