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Record Nr. |
UNINA9910299773503321 |
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Autore |
Peypouquet Juan |
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Titolo |
Convex Optimization in Normed Spaces : Theory, Methods and Examples / / by Juan Peypouquet |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (132 p.) |
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Collana |
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SpringerBriefs in Optimization, , 2190-8354 ; ; 0 |
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Disciplina |
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Soggetti |
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Calculus of variations |
Algorithms |
Calculus of Variations and Optimal Control; Optimization |
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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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Description based upon print version of record. |
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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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Basic Functional Analysis -- Existence of Minimizers -- Convex Analysis and Subdifferential Calculus -- Examples -- Problem-solving Strategies -- Keynote Iterative Methods. |
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Sommario/riassunto |
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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. |
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