LEADER 02276nam0 22004573i 450 001 VAN0249143 005 20230530094625.382 017 70$2N$a9783030395681 100 $a20220805d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aFirst-order and Stochastic Optimization Methods for Machine Learning$fGuanghui Lan 210 $aCham$cSpringer$d2020 215 $axiii, 582 p.$cill.$d24 cm 410 1$1001VAN0113882$12001 $aSpringer series in the Data Sciences$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0249147$aFirst-order and Stochastic Optimization Methods for Machine Learning$92391161 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 606 $a90C25$xConvex programming [MSC 2020]$3VANC019709$2MF 606 $a90C15$xStochastic programming [MSC 2020]$3VANC021355$2MF 606 $a68W15$xDistributed algorithms [MSC 2020]$3VANC023139$2MF 606 $a68T05$xLearning and adaptive systems in artificial intelligence [MSC 2020]$3VANC023390$2MF 606 $a90C26$xNonconvex programming, global optimization [MSC 2020]$3VANC026769$2MF 606 $a68W20$xRandomized algorithms [MSC 2020]$3VANC033862$2MF 606 $a68W27$xOnline algorithms; streaming algorithms [MSC 2020]$3VANC035657$2MF 610 $aDistributed and decentralized methods$9KW:K 610 $aMachine learning algorithms$9KW:K 610 $aNonconvex optimization methods$9KW:K 610 $aRandomized algorithms$9KW:K 610 $aStochastic optimization methods$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aLan$bGuanghui$3VANV203818$01017962 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-39568-1$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 $aVAN0249143 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4655 $e08eMF4655 20220805 996 $aFirst-order and Stochastic Optimization Methods for Machine Learning$92391161 997 $aUNICAMPANIA