LEADER 01627nam0 22004333i 450 001 VAN0278604 005 20240626084258.90 017 70$2N$a9783031264559 100 $a20240626d2023 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aGeometry of Linear Matrix Inequalities$eA Course in Convexity and Real Algebraic Geometry with a View Towards Optimization$fTim Netzer, Daniel Plaumann 210 $aCham$cBirkhäuser$cSpringer$d2023 215 $aviii, 161 p.$cill.$d24 cm 410 1$1001VAN0103268$12001 $aCompact textbooks in mathematics$1210 $aBasel [etc.]$cBirkhäuser 610 $aConvex Geometry$9KW:K 610 $aConvex Optimization$9KW:K 610 $aEigenvalues$9KW:K 610 $aHyperbolic Polynomials$9KW:K 610 $aMatrices$9KW:K 610 $aNon-commutative Geometry$9KW:K 610 $aPolynomial optimization$9KW:K 610 $aReal Algebraic Curves$9KW:K 610 $aReal Algebraic Geometry$9KW:K 610 $aSemidefinitie Programming$9KW:K 610 $aSums of squares$9KW:K 610 $aextended formulations$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aNetzer$bTim$3VANV231174$01368018 701 1$aPlaumann$bDaniel$3VANV231175$01741887 712 $aBirkhäuser $3VANV108193$4650 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240628$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-031-26455-9$zhttps://doi.org/10.1007/978-3-031-26455-9 912 $fN 912 $aVAN0278604 996 $aGeometry of Linear Matrix Inequalities$94168246 997 $aUNICAMPANIA LEADER 02525nam0 2200565 i 450 001 VAN00127075 005 20240806100823.268 017 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$1001VAN00100987$12001 $aSpringer undergraduate texts in mathematics and technology$1210 $aBerlin [etc.]$cSpringer$d2008- 500 1$3VAN00236928$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$c20241115$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 $aVAN00127075 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 1686 $e08eMF1686 20200224 996 $aNonlinear optimization$91420109 997 $aUNICAMPANIA