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Convex optimization in normed spaces: theory, methods and examples
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 independe...
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Lenguaje: | eng |
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Springer
2015
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-13710-0 http://cds.cern.ch/record/2005861 |
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author | Peypouquet, Juan |
author_facet | Peypouquet, Juan |
author_sort | Peypouquet, Juan |
collection | CERN |
description | 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. |
id | cern-2005861 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | Springer |
record_format | invenio |
spelling | cern-20058612021-04-21T20:24:17Zdoi:10.1007/978-3-319-13710-0http://cds.cern.ch/record/2005861engPeypouquet, JuanConvex optimization in normed spaces: theory, methods and examplesMathematical Physics and Mathematics 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.Springeroai:cds.cern.ch:20058612015 |
spellingShingle | Mathematical Physics and Mathematics Peypouquet, Juan Convex optimization in normed spaces: theory, methods and examples |
title | Convex optimization in normed spaces: theory, methods and examples |
title_full | Convex optimization in normed spaces: theory, methods and examples |
title_fullStr | Convex optimization in normed spaces: theory, methods and examples |
title_full_unstemmed | Convex optimization in normed spaces: theory, methods and examples |
title_short | Convex optimization in normed spaces: theory, methods and examples |
title_sort | convex optimization in normed spaces: theory, methods and examples |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-13710-0 http://cds.cern.ch/record/2005861 |
work_keys_str_mv | AT peypouquetjuan convexoptimizationinnormedspacestheorymethodsandexamples |