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Newton-like iteration for determinantal systems and structured low rank approximation

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Published:28 January 2014Publication History

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References

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  3. R. M. Corless, S. M. Watt, and L. Zhi. QR factoring to compute the gcd of univariate approximate polynomials. Signal Processing, IEEE Transactions on, 52(12):3394--3402, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. E. Kaltofen, Z. Yang, and L. Zhi. Structured low rank approximation of a Sylvester matrix. In Symbolic-numeric computation, pages 69--83. Springer, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  5. I. Markovsky. Structured low-rank approximation and its applications. Automatica, 44(4):891--909, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. A. Terui. An iterative method for calculating approximate gcd of univariate polynomials. In ISSAC 2009, pp. 351--358. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Newton-like iteration for determinantal systems and structured low rank approximation

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            cover image ACM Communications in Computer Algebra
            ACM Communications in Computer Algebra  Volume 47, Issue 3/4
            September/December 2013
            116 pages
            ISSN:1932-2240
            DOI:10.1145/2576802
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            Copyright © 2014 Authors

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            Association for Computing Machinery

            New York, NY, United States

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            • Published: 28 January 2014

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