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Proceedings Paper

Algorithm for the singular value decomposition of a matrix product
Author(s): Adam W. Bojanczyk; L. Magnus Ewerbring; Franklin T. Luk; Paul Van Dooren
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Paper Abstract

In this paper we propose a new algorithm for computing a singular value decomposition of a matrix product. We show that our algorithm is numerically desirable in that all relevant residual elements will be numerically small.

Paper Details

Date Published: 1 November 1990
PDF: 12 pages
Proc. SPIE 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations, (1 November 1990); doi: 10.1117/12.23494
Show Author Affiliations
Adam W. Bojanczyk, Cornell Univ. (United States)
L. Magnus Ewerbring, Argonne National Lab. (United States)
Franklin T. Luk, Cornell Univ. (United States)
Paul Van Dooren, Philips Research Lab. (United States)


Published in SPIE Proceedings Vol. 1348:
Advanced Signal Processing Algorithms, Architectures, and Implementations
Franklin T. Luk, Editor(s)

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