LEADER 02169nam0 22004573i 450 001 VAN0249931 005 20230531122436.141 017 70$2N$a9783030603007 100 $a20220909d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aˆThe ‰Projected Subgradient Algorithm in Convex Optimization$fAlexander J. Zaslavski 210 $aCham$cSpringer$d2020 215 $avi, 146 p.$cill.$d24 cm 410 1$1001VAN0102834$12001 $aSpringerBriefs in optimization$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0249933$aˆThe ‰Projected Subgradient Algorithm in Convex Optimization$92909498 606 $a90C25$xConvex programming [MSC 2020]$3VANC019709$2MF 606 $a90C30$xNonlinear programming [MSC 2020]$3VANC023183$2MF 606 $a49M37$xNumerical methods based on nonlinear programming [MSC 2020]$3VANC023193$2MF 606 $a90C26$xNonconvex programming, global optimization [MSC 2020]$3VANC026769$2MF 606 $a65K05$xNumerical mathematical programming methods [MSC 2020]$3VANC028868$2MF 610 $aConvex Optimization$9KW:K 610 $aInfluence computational errors$9KW:K 610 $aNonsmooth convex optimization$9KW:K 610 $aOptimization problems bounded sets$9KW:K 610 $aProjected subgradient algorithm$9KW:K 610 $aQuasi-convex optimization$9KW:K 610 $aSubgradient algorithm$9KW:K 610 $aZero-sum games$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aZaslavski$bAlexander J.$3VANV080282$0721713 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-60300-7$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0249931 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4889 $e08eMF4889 20220909 996 $aProjected Subgradient Algorithm in Convex Optimization$92909498 997 $aUNICAMPANIA