LEADER 02080nam0 22004333i 450 001 VAN0269854 005 20240119120636.238 017 70$2N$a9789819966868 100 $a20240119d2023 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aNumerical Approximations of Stochastic Maxwell Equations$evia Structure-Preserving Algorithms$fChuchu Chen, Jialin Hong, Lihai Ji 210 $aCham$cSpringer$d2023 215 $axvii, 284 p.$cill.$d24 cm 461 1$1001VAN0102250$12001 $aLecture notes in mathematics$1210 $aBerlin [etc.]$cSpringer$v2341 606 $a65-XX$xNumerical analysis [MSC 2020]$3VANC019772$2MF 606 $a60-XX$xProbability theory and stochastic processes [MSC 2020]$3VANC020428$2MF 606 $a30-XX$xFunctions of a complex variable [MSC 2020]$3VANC020785$2MF 610 $aInvariant measure and ergodicity$9KW:K 610 $aLarge Deviation Principle$9KW:K 610 $aStochastic Hamiltonian partial differential equations$9KW:K 610 $aStochastic Maxwell equations$9KW:K 610 $aStochastic energy and divergence evolution laws$9KW:K 610 $aStochastic structure-preserving algorithms$9KW:K 610 $aStochastic symplectic and multi-symplectic structures$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aChen$bChuchu$3VANV221411$01461636 701 1$aHong$bJialin$3VANV096855$0769125 701 1$aJi$bLihai$3VANV221412$01461637 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttps://doi.org/10.1007/978-981-99-6686-8$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 $aVAN0269854 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book $e08LNM2341 20240119 996 $aNumerical Approximations of Stochastic Maxwell Equations$93670086 997 $aUNICAMPANIA