LEADER 02242nam0 22004933i 450 001 VAN0277961 005 20240717040602.492 017 70$2N$a9783030983192 100 $a20240613d2022 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aMonte Carlo and Quasi-Monte Carlo Methods$eMCQMC 2020, Oxford, United Kingdom, August 10?14$fAlexander Keller editor 210 $aCham$cSpringer$d2022 215 $axvi, 311 p.$cill.$d24 cm 410 1$1001VAN0102574$12001 $aSpringer proceedings in mathematics & statistics$1210 $aBerlin [etc.]$cSpringer$d2012-$v387 606 $a00B25$xProceedings of conferences of miscellaneous specific interest [MSC 2020]$3VANC020732$2MF 606 $a65-XX$xNumerical analysis [MSC 2020]$3VANC019772$2MF 606 $a65C05$xMonte Carlo methods [MSC 2020]$3VANC020429$2MF 610 $aControl variates$9KW:K 610 $aDensity Estimation$9KW:K 610 $aLight transport simulation$9KW:K 610 $aLow-discrepancy sequences$9KW:K 610 $aMarkov Chain Monte Carlo$9KW:K 610 $aMonte Carlo$9KW:K 610 $aNeural networks$9KW:K 610 $aQuasi-Monte Carlo$9KW:K 610 $aQuasi-Monte Carlo software$9KW:K 610 $aRandomized algorithms$9KW:K 610 $aSampling$9KW:K 610 $aStochastic simulation$9KW:K 610 $aVariance reduction$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aKeller$bAlexander$3VANV230497$0462370 712 12$aInternational conference in Monte Carlo and quasi-Monte Carlo methods in scientific computing$d14.$f2020$eOxford, UK$3VANV230498 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240719$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-030-98319-2$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 $aVAN0277961 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-Book 8829 $e08eMF8829 20240618 996 $aMonte Carlo and Quasi-Monte Carlo Methods$94164721 997 $aUNICAMPANIA