LEADER 02999nam  22006375  450 
001 9910299773503321
005 20250609110817.0
010   $a3-319-13710-7
024 7 $a10.1007/978-3-319-13710-0
035   $a(CKB)3710000000378044
035   $a(EBL)2095486
035   $a(SSID)ssj0001465430
035   $a(PQKBManifestationID)11935254
035   $a(PQKBTitleCode)TC0001465430
035   $a(PQKBWorkID)11471582
035   $a(PQKB)11659511
035   $a(DE-He213)978-3-319-13710-0
035   $a(MiAaPQ)EBC2095486
035   $a(PPN)184890896
035   $a(MiAaPQ)EBC6212351
035   $a(MiAaPQ)EBC3108684
035   $a(EXLCZ)993710000000378044
100   $a20150318d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aConvex Optimization in Normed Spaces $eTheory, Methods and Examples /$fby Juan Peypouquet
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (132 p.)
225 1 $aSpringerBriefs in Optimization,$x2190-8354 ;$v0
300   $aDescription based upon print version of record.
311 08$a3-319-13709-3 
320   $aIncludes bibliographical references and index.
327   $aBasic Functional Analysis -- Existence of Minimizers -- Convex Analysis and Subdifferential Calculus -- Examples -- Problem-solving Strategies -- Keynote Iterative Methods.
330   $aThis work is intended to serve as a guide for graduate students and researchers who wish to get acquainted with the main theoretical and practical tools for the numerical minimization of convex functions on Hilbert spaces. Therefore, it contains the main tools that are necessary to conduct independent research on the topic. It is also a concise, easy-to-follow and self-contained textbook, which may be useful for any researcher working on related fields, as well as teachers giving graduate-level courses on the topic. It will contain a thorough revision of the extant literature including both classical and state-of-the-art references.
410  0$aSpringerBriefs in Optimization,$x2190-8354 ;$v0
606   $aCalculus of variations
606   $aAlgorithms
606   $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016
606   $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018
615  0$aCalculus of variations.
615  0$aAlgorithms.
615 14$aCalculus of Variations and Optimal Control; Optimization.
615 24$aAlgorithms.
676   $a515.8
700   $aPeypouquet$b Juan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0755546
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299773503321
996   $aConvex optimization in normed spaces$91522541
997   $aUNINA