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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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Autor principal: Peypouquet, Juan
Lenguaje:eng
Publicado: Springer 2015
Materias:
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.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2015
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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