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Convex Optimization in Normed Spaces : Theory, Methods and Examples / / by Juan Peypouquet



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Autore: Peypouquet Juan Visualizza persona
Titolo: Convex Optimization in Normed Spaces : Theory, Methods and Examples / / by Juan Peypouquet Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (132 p.)
Disciplina: 515.8
Soggetto topico: Calculus of variations
Algorithms
Calculus of Variations and Optimal Control; Optimization
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Basic Functional Analysis -- Existence of Minimizers -- Convex Analysis and Subdifferential Calculus -- Examples -- Problem-solving Strategies -- Keynote Iterative Methods.
Sommario/riassunto: This work is intended to serve as a guide for graduate students and researchers who wish to get acquainted with the main theoretical and practical tools for the numerical minimization of convex functions on Hilbert spaces. Therefore, it contains the main tools that are necessary to conduct independent research on the topic. It is also a concise, easy-to-follow and self-contained textbook, which may be useful for any researcher working on related fields, as well as teachers giving graduate-level courses on the topic. It will contain a thorough revision of the extant literature including both classical and state-of-the-art references.
Titolo autorizzato: Convex optimization in normed spaces  Visualizza cluster
ISBN: 3-319-13710-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299773503321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Optimization, . 2190-8354 ; ; 0