Nonlinear Conjugate Gradient Methods for Unconstrained Optimization / Neculai Andrei
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| Autore: |
Andrei, Neculai
|
| Titolo: |
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization / Neculai Andrei
|
| Pubblicazione: | Cham, : Springer, 2020 |
| Titolo uniforme: | Nonlinear Conjugate Gradient Methods for Unconstrained Optimization |
| Descrizione fisica: | xxviii, 498 p. : ill. ; 24 cm |
| Soggetto topico: | 90C90 - Applications of mathematical programming [MSC 2020] |
| 90C30 - Nonlinear programming [MSC 2020] | |
| 49M37 - Numerical methods based on nonlinear programming [MSC 2020] | |
| 65K05 - Numerical mathematical programming methods [MSC 2020] | |
| 90C06 - Large-scale problems in mathematical programming [MSC 2020] | |
| Soggetto non controllato: | BFGS method |
| Conjugate Gradient Method | |
| Conjugate gradient algorithm | |
| Dai and Lao | |
| Quasi-Newton method | |
| Steepest Descent Method | |
| Titolo autorizzato: | Nonlinear Conjugate Gradient Methods for Unconstrained Optimization |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | VAN0249538 |
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico | http://doi.org/10.1007/978-3-030-42950-8 |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer optimization and its applications Berlin [etc.] . -Springer , 2006- ; 158