LEADER 02514nam0 2200565 i 450 001 VAN0127075 005 20230627092228.276 017 70$2N$a9783030111847 100 $a20200224d2019 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aNonlinear Optimization$fFrancisco J. Aragón ?$bet al.] 210 $aCham$cSpringer$d2019 215 $axiv, 350 p.$cill.$d24 cm 410 1$1001VAN0100987$12001 $aSpringer undergraduate texts in mathematics and technology$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0236928$aNonlinear Optimization$91420109 606 $a47N10$xApplications of operator theory in optimization, convex analysis, mathematical programming, economics [MSC 2020]$3VANC020313$2MF 606 $a65Kxx$xNumerical methods for mathematical programming, optimization and variational techniques [MSC 2020]$3VANC022719$2MF 606 $a97Uxx$xEducational material and media and educational technology in mathematics education [MSC 2020]$3VANC028607$2MF 610 $aCoercivity$9KW:K 610 $aConstrained optimization$9KW:K 610 $aConvexity$9KW:K 610 $aDerivative-free optimization methods$9KW:K 610 $aFermat-Steiner problem$9KW:K 610 $aGeometric optimization$9KW:K 610 $aGradient methods$9KW:K 610 $aJensen's inequalities$9KW:K 610 $aLagrange duality$9KW:K 610 $aLine search methods$9KW:K 610 $aLinear regression$9KW:K 610 $aNelder and Mead method$9KW:K 610 $aOptimization algorithms$9KW:K 610 $aOptimization problems$9KW:K 610 $aPolynomial regression$9KW:K 610 $aQuadratic optimization$9KW:K 610 $aQuasi-Newton Methods$9KW:K 610 $aUnconstrained Optimization$9KW:K 610 $aWolfe duality$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aAragón$bFrancisco J.$3VANV098499 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-11184-7$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 $aVAN0127075 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 1686 $e08eMF1686 20200224 996 $aNonlinear optimization$91420109 997 $aUNICAMPANIA