Algorithm for the singular value decomposition of a matrix product

Adam W. Bojanczyk; L. Magnus Ewerbring; Franklin T. Luk; Paul Van Dooren

doi:10.1117/12.23494

1 November 1990 Algorithm for the singular value decomposition of a matrix product

Adam W. Bojanczyk, L. Magnus Ewerbring, Franklin T. Luk, Paul Van Dooren

Proceedings Volume 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations; (1990) https://doi.org/10.1117/12.23494
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

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.

Citation Download Citation

Adam W. Bojanczyk, L. Magnus Ewerbring, Franklin T. Luk, and Paul Van Dooren "Algorithm for the singular value decomposition of a matrix product", Proc. SPIE 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations, (1 November 1990); https://doi.org/10.1117/12.23494

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