LEADER 00949nam0-22003011i-450- 001 990006364940403321 005 19980601 035 $a000636494 035 $aFED01000636494 035 $a(Aleph)000636494FED01 035 $a000636494 100 $a19980601d1925----km-y0itay50------ba 105 $a--------00-yy 200 1 $a<>laurea in legge di Lodovico Antonio Muratori$fBenvenuto Donati. 210 $aModena$cPresso l'Università degli Studi$d1925 215 $a34 p.$d24 cm 225 1 $aR. Università di Modena. Pubblicazioni della Facoltà di Giurisprudenza$v6 676 $a378.2 700 1$aDonati,$bBenvenuto$f<1883-1950>$0176920 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006364940403321 952 $aUNIV. 18 (6)$b2125$fFGBC 952 $aBIBL.SOL.BUS. D 86$b64375$fFGBC 959 $aFGBC 996 $aLaurea in legge di Lodovico Antonio Muratori$9658790 997 $aUNINA DB $aGIU01 LEADER 03000nam0 2200685 i 450 001 VAN00123785 005 20260622110516.539 017 70$2N$a9783319610078 035 40$a1591486612 100 $a20191002d2017 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aNon-Convex Multi-Objective Optimization$fPanos M. Pardalos, Antanas ?ilinskas, Julius ?ilinskas 210 $aCham$cSpringer$d2017 215 $axi, 192 p.$cill.$d24 cm 410 1$1001VAN00067197$12001 $aSpringer optimization and its applications$1210 $aBerlin [etc.]$cSpringer$d2006-$v123 500 1$3VAN00235851$aNon-Convex Multi-Objective Optimization$91562269 606 $a90-XX$xOperations research, mathematical programming [MSC 2020]$3VANC025650$2MF 606 $a90C26$xNonconvex programming, global optimization [MSC 2020]$3VANC026769$2MF 606 $a90C90$xApplications of mathematical programming [MSC 2020]$3VANC019710$2MF 610 $aApplications in Engineering$9KW:K 610 $aBinary-Linear Model$9KW:K 610 $aBranch-and-Bound Approach$9KW:K 610 $aContinuous problems$9KW:K 610 $aLipschitz optimization$9KW:K 610 $aMultidimensional Bi-Objective Lipschitz Optimization$9KW:K 610 $aNon-convex multi-objective optimization$9KW:K 610 $aNormal Boundary Intersection$9KW:K 610 $aOptimal Algorithms for Lipschitz Functions$9KW:K 610 $aOptimal Passive Algorithm$9KW:K 610 $aOptimal Sequential Algorithm$9KW:K 610 $aPareto Frontier$9KW:K 610 $aPareto Optimal Decisions$9KW:K 610 $aPareto Sets$9KW:K 610 $aRandomized Algorithms$9KW:K 610 $aScalarization$9KW:K 610 $aSoftware$9KW:K 610 $aStatistical Models for Global Optimization$9KW:K 610 $aTchebycheff Method$9KW:K 610 $aTrisection of a Hyper-rectangle$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aPardalos$bPanos M.$3VANV038535$0318341 701 1$a?ilinskas$bAntanas$3VANV095239$0767377 701 1$a?ilinskas$bJulius$3VANV080266$0721722 712 $aSpringer $3VANV108073$4650 790 1$aPardalos, P. M.$zPardalos, Panos M.$3VANV063873 790 1$aPardalos, P.M.$zPardalos, Panos M.$3VANV262936 790 1$aPardalos, Panos Milton$zPardalos, Panos M.$3VANV262937 801 $aIT$bSOL$c20260911$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-61007-8$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 $aVAN00123785 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 0816 $e08eMF816 20191002 996 $aNon-Convex Multi-Objective Optimization$91562269 997 $aUNICAMPANIA