Convex optimization in normed spaces : theory, methods and examples /
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| Author / Creator: | Peypouquet, Juan, 1979- author. |
|---|---|
| Imprint: | Cham : Springer, [2015] ©2015 |
| Description: | 1 online resource (xiv, 124 pages) : illustrations. |
| Language: | English |
| Series: | SpringerBriefs in optimization, 2190-8354 SpringerBriefs in optimization. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11092571 |
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| 100 | 1 | |a Peypouquet, Juan, |d 1979- |e author. |1 http://viaf.org/viaf/200100041 | |
| 245 | 1 | 0 | |a Convex optimization in normed spaces : |b theory, methods and examples / |c Juan Peypouquet. |
| 264 | 1 | |a Cham : |b Springer, |c [2015] | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource (xiv, 124 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
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| 490 | 1 | |a SpringerBriefs in optimization, |x 2190-8354 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed March 26, 2015). | |
| 505 | 0 | |a Basic Functional Analysis -- Existence of Minimizers -- Convex Analysis and Subdifferential Calculus -- Examples -- Problem-solving Strategies -- Keynote Iterative Methods. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Convex functions. | |
| 650 | 0 | |a Mathematical optimization. |0 http://id.loc.gov/authorities/subjects/sh85082127 | |
| 650 | 0 | |a Banach spaces. |0 http://id.loc.gov/authorities/subjects/sh85011441 | |
| 650 | 7 | |a MATHEMATICS / Calculus |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS / Mathematical Analysis |2 bisacsh | |
| 650 | 7 | |a Banach spaces. |2 fast |0 (OCoLC)fst00826389 | |
| 650 | 7 | |a Convex functions. |2 fast |0 (OCoLC)fst00877260 | |
| 650 | 7 | |a Mathematical optimization. |2 fast |0 (OCoLC)fst01012099 | |
| 650 | 4 | |a Algorithms. | |
| 650 | 4 | |a Mathematical optimization. | |
| 650 | 4 | |a Mathematics. | |
| 655 | 4 | |a Electronic books. | |
| 655 | 0 | |a Electronic books. | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319137094 |
| 830 | 0 | |a SpringerBriefs in optimization. | |
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| 928 | |t Library of Congress classification |a QA331.5 .P49 2015eb |l Online |c UC-FullText |u http://link.springer.com/10.1007/978-3-319-13710-0 |z SpringerLink |g ebooks |i 9906291 | ||