Low-Rank Approximation : Algorithms, Implementation, Applications. [elektronicky zdroj]
| Autor: | Markovsky, Ivan |
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| Jazyk: | angličtina |
| Informace o vydání: | Cham : Springer, 2018. |
| Předmět: | |
| Vydání: | 2nd ed. |
| Druh dokumentu: | Online; Non-fiction; Electronic document |
| Abstrakt: | Summary: This book details the theory, algorithms, and applications of structured low-rank approximation, and presents efficient local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel and Sylvester structured problems and more. |
| Databáze: | Vybrané kolekce e-knih |
| Externí odkaz: |
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