LEADER 01644nam0 2200361 i 450 
001 SUN0123409
005 20190924124303.505
010   $d0.00
017 70$2N$a978-3-319-54339-0
100   $a20190919d2017       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Uncertainty quantification$ean accelerated course with advanced applications in computational engineering$fChristian Soize
205   $aCham : Springer, 2017
210   $axxii$d329 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0044474$12001 $aInterdisciplinary applied mathematics$v47$1210  $aNew York$cSpringer$d1990-.
606   $a47-XX$xOperator theory [MSC 2020]$2MF$3SUNC019759
606   $a35-XX$xPartial differential equations [MSC 2020]$2MF$3SUNC019763
606   $a37-XX$xDynamical systems and ergodic theory [MSC 2020]$2MF$3SUNC020363
606   $a60-XX$xProbability theory and stochastic processes [MSC 2020]$2MF$3SUNC020428
606   $a15-XX$xLinear and multilinear algebra; matrix theory [MSC 2020]$2MF$3SUNC020607
606   $a62-XX$xStatistics [MSC 2020]$2MF$3SUNC022998
620   $aCH$dCham$3SUNL001889
700  1$aSoize$b, Christian$3SUNV094814$029246
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20210503$gRICA
856 4 $uhttp://doi.org/10.1007/978-3-319-54339-0
912   $aSUN0123409
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                  0965        $e08eMF965               20190919            
996   $aUncertainty quantification$91560479
997   $aUNICAMPANIA