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Low Rank Approximation of a Hankel Matrix by Structured Total Least Norm

โœ Scribed by H. Park; L. Zhang; J. B. Rosen


Book ID
110418786
Publisher
Springer Netherlands
Year
1999
Tongue
English
Weight
292 KB
Volume
39
Category
Article
ISSN
0006-3835

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A minimum norm approach for low-rank app
โœ Achiya Dax ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 367 KB

The problems of calculating a dominant eigenvector or a dominant pair of singular vectors, arise in several large scale matrix computations. In this paper we propose a minimum norm approach for solving these problems. Given a matrix, A, the new method computes a rankone matrix that is nearest to A,