Low Rank Approximation av Ivan Markovsky

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Previously published in hardco

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Ivan Markovsky

Data Approximation by Low-complexity Models details the theory, algorithms, and applications of structured low-rank approximation. Efficient local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester...

1229 SEK