LEADER 02100nam0 22004333i 450 001 VAN0249538 005 20230531093236.320 017 70$2N$a9783030429508 100 $a20220902d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aNonlinear Conjugate Gradient Methods for Unconstrained Optimization$fNeculai Andrei 210 $aCham$cSpringer$d2020 215 $axxviii, 498 p.$cill.$d24 cm 410 1$1001VAN0067197$12001 $aSpringer optimization and its applications$1210 $aBerlin [etc.]$cSpringer$d2006-$v158 500 1$3VAN0249539$aNonlinear Conjugate Gradient Methods for Unconstrained Optimization$92413542 606 $a90C90$xApplications of mathematical programming [MSC 2020]$3VANC019710$2MF 606 $a90C30$xNonlinear programming [MSC 2020]$3VANC023183$2MF 606 $a49M37$xNumerical methods based on nonlinear programming [MSC 2020]$3VANC023193$2MF 606 $a65K05$xNumerical mathematical programming methods [MSC 2020]$3VANC028868$2MF 606 $a90C06$xLarge-scale problems in mathematical programming [MSC 2020]$3VANC028934$2MF 610 $aBFGS method$9KW:K 610 $aConjugate Gradient Method$9KW:K 610 $aConjugate gradient algorithm$9KW:K 610 $aDai and Lao$9KW:K 610 $aQuasi-Newton method$9KW:K 610 $aSteepest Descent Method$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aAndrei$bNeculai$3VANV204095$0767620 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-42950-8$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 $aVAN0249538 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4762 $e08eMF4762 20220902 996 $aNonlinear Conjugate Gradient Methods for Unconstrained Optimization$92413542 997 $aUNICAMPANIA