Approximation Theory and Algorithms for Data Analysis / Armin Iske
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| Autore: |
Iske, Armin
|
| Titolo: |
Approximation Theory and Algorithms for Data Analysis / Armin Iske
|
| Pubblicazione: | Cham, : Springer, 2018 |
| Titolo uniforme: | Approximation Theory and Algorithms for Data Analysis |
| Descrizione fisica: | x, 358 p. : ill. ; 24 cm |
| Soggetto topico: | 65-XX - Numerical analysis [MSC 2020] |
| 42-XX - Harmonic analysis on Euclidean spaces [MSC 2020] | |
| 41-XX - Approximations and expansions [MSC 2020] | |
| 94A12 - Signal theory (characterization, reconstruction, filtering, etc.) [MSC 2020] | |
| Soggetto non controllato: | Applications approximation |
| Approximation Methods | |
| Best approximation | |
| Chebychev approximation | |
| Examples approximation | |
| Foundations approximation | |
| Introduction approximation | |
| Kernel-based approximation | |
| Optimization approximation | |
| Titolo autorizzato: | Approximation Theory and Algorithms for Data Analysis |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | VAN0124577 |
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico | http://doi.org/10.1007/978-3-030-05228-7 |
| Opac: | Controlla la disponibilità qui |
Serie:
Texts in applied mathematics New York [etc.] . -Springer ; 68