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Record Nr. |
UNINA9910827212903321 |
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Autore |
Temlyakov Vladimir <1953-> |
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Titolo |
Greedy approximation / / Vladimir Temlyakov [[electronic resource]] |
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Pubbl/distr/stampa |
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Cambridge : , : Cambridge University Press, , 2011 |
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ISBN |
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1-107-22690-2 |
1-283-34243-X |
1-139-16037-0 |
9786613342430 |
0-511-76229-1 |
1-139-16137-7 |
1-139-15580-6 |
1-139-15932-1 |
1-139-15755-8 |
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Descrizione fisica |
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1 online resource (xiv, 418 pages) : digital, PDF file(s) |
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Collana |
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Cambridge monographs on applied and computational mathematics ; ; 20 |
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Classificazione |
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Disciplina |
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Soggetti |
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Approximation theory |
Compressed sensing (Telecommunication) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. Greedy approximation with respect to bases -- 2. Greedy approximation with respect to dictionaries: Hilbert spaces -- 3. Entropy -- 4. Approximation in learning theory -- 5. Approximation in compressed sensing -- 6. Greedy approximation with respect to dictionaries: Banach spaces. |
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Sommario/riassunto |
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This first book on greedy approximation gives a systematic presentation of the fundamental results. It also contains an introduction to two hot topics in numerical mathematics: learning theory and compressed sensing. Nonlinear approximation is becoming increasingly important, especially since two types are frequently employed in applications: adaptive methods are used in PDE solvers, while m-term approximation is used in image/signal/data processing, as well as in the design of neural networks. The fundamental question |
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