LEADER 01348cam--2200421---450 001 990001104290203316 005 20220321110801.0 035 $a000110429 035 $aUSA01000110429 035 $a(ALEPH)000110429USA01 035 $a000110429 100 $a20021118d1970----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ac|||z|||001yy 200 1 $aScritti di storia meridionale$fLeopoldo Cassese$ga cura di Antonio Cestaro e Pietro Laveglia$gcon una premessa di Gabriele De Rosa 210 $aSalerno$cLaveglia$d1970 215 $aXXV, 456 p., 1 ritratto$d22 cm 300 $aScritti in parte già pubblicati 300 $aContiene una bibliografia delle opere di Leopoldo Cassese 607 $aSalerno$z1799-1865$xStoria$2BNCF 676 $a945.74108 700 1$aCASSESE,$bLeopoldo$0155229 702 1$aCESTARO,$bAntonio 702 1$aLAVEGLIA,$bPietro 702 1$aDE ROSA,$bGabriele <1917-2009> 801 0$aIT$bsalbc$gISBD 912 $a990001104290203316 951 $aPAP 1025$bL.M.$cPAP$d00084012 951 $aFC M 375$bDLM$cFC M 951 $aX.3.B. 7827(C 9 3 31)$b7178 CSSM$cX.3.$d393079 951 $aXV.14.A. 337$b262889 L.M.$cXV.14.$d412888 959 $aBK 969 $aUMA 969 $aDILAM 969 $aFVIG 996 $aScritti di storia meridionale$9551501 997 $aUNISA 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