LEADER 01035nam0 22002651i 450 001 SUN0022877 005 20180724094037.197 010 $a88-435-1940-9 100 $a20040907d1979 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aArchitettura barocca$fChristian Norberg-Schulz 210 $aMilano$cElecta$d1979 215 $a223 p.$cill.$d24 cm. 410 1$1001SUN0015407$12001 $aStoria dell'architettura$1210 $aMilano$cElecta. 620 $dMilano$3SUNL000284 700 1$aNorberg-Schulz$b, Christian$3SUNV013202$010894 712 $aElecta$3SUNV008644$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0022877 950 $aBIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALE$d01 PREST IBa8(12) $e01 344 995 $aBIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALE$bIT-CE0107$h344$kPREST IBa8(12)$op$qa 996 $aArchitettura barocca$9209547 997 $aUNICAMPANIA LEADER 00912nam a2200289 i 4500 001 991003894359707536 005 20030103125223.0 008 020927s1977 it ||| | ita 035 $ab11879312-39ule_inst 035 $aPRUMB67453$9ExL 040 $aDip.to SSSC$bita 082 0 $a155.4 100 1 $aChauvin, Remy$0353618 245 12$aI superdotati /$cpremessa di Norberto Galli 260 $aRoma :$bArmando,$c1977 300 $a189 p. ;$c20 cm. 490 0 $aControcampo ;$v9 500 $aTrad. L. Baraldini 650 4$aFanciulli dotati 700 1 $aBaraldini, Luigi 740 40$aLes surdoues 907 $a.b11879312$b28-04-17$c07-01-03 912 $a991003894359707536 945 $aLE021 DI3C31$g1$i2021000210228$lle021$o-$pE0.00$q-$rl$s- $t0$u2$v0$w2$x0$y.i12134144$z07-01-03 996 $aSuperdotati$9900696 997 $aUNISALENTO 998 $ale021$b01-01-02$cm$da $e-$fita$git $h2$i1 LEADER 03697nam 2200685z- 450 001 9910557107803321 005 20210501 035 $a(CKB)5400000000040969 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69429 035 $a(oapen)doab69429 035 $a(EXLCZ)995400000000040969 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (116 p.) 311 08$a3-03943-835-2 311 08$a3-03943-836-0 330 $aThe aim of this book was to collect the most recent methods developed for NSO and its practical applications. The book contains seven papers: The first is the foreword by the Guest Editors giving a brief review of NSO and its real-life applications and acknowledging the outstanding contributions of Professor Adil Bagirov to both the theoretical and practical aspects of NSO. The second paper introduces a new and very efficient algorithm for solving uncertain unit-commitment (UC) problems. The third paper proposes a new nonsmooth version of the generalized damped Gauss-Newton method for solving nonlinear complementarity problems. In the fourth paper, the abs-linear representation of piecewise linear functions is extended to yield simultaneously their DC decomposition as well as the pair of generalized gradients. The fifth paper presents the use of biased-randomized algorithms as an effective methodology to cope with NP-hard and nonsmooth optimization problems in many practical applications. In the sixth paper, a problem concerning the scheduling of nuclear waste disposal is modeled as a nonsmooth multiobjective mixed-integer nonlinear optimization problem, and a novel method using the two-slope parameterized achievement scalarizing functions is introduced. Finally, the last paper considers binary classification of a multiple instance learning problem and formulates the learning problem as a nonconvex nonsmooth unconstrained optimization problem with a DC objective function. 606 $aInformation technology industries$2bicssc 610 $aabs-linearization 610 $aachievement scalarizing functions 610 $aasynchronous computing 610 $aB-differential 610 $abiased-randomized algorithms 610 $aDC function 610 $aDC optimization 610 $aDCA 610 $aGauss-Newton method 610 $aglobal convergence 610 $aheuristics 610 $ainteractive method 610 $alevel decomposition 610 $amultiobjective optimization 610 $amultiple instance learning 610 $an/a 610 $anon-smooth optimization 610 $anonlinear complementarity problem 610 $anonsmooth equations 610 $anonsmooth optimization 610 $aparallel computing 610 $asoft constraints 610 $aspent nuclear fuel disposal 610 $astochastic hydrothermal UC problem 610 $astochastic programming 610 $asuperlinear convergence 610 $asupport vector machine 615 7$aInformation technology industries 700 $aKarmitsa$b Napsu$4edt$01296135 702 $aTaheri$b Sona$4edt 702 $aKarmitsa$b Napsu$4oth 702 $aTaheri$b Sona$4oth 906 $aBOOK 912 $a9910557107803321 996 $aNonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov$93023795 997 $aUNINA