LEADER 02430nam0 22004933i 450 001 VAN0250000 005 20230531020154.771 017 70$2N$a9783030463069 100 $a20220912d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aTrends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment$eSelected Works from the BIOMAT Consortium Lectures, Szeged, Hungary, 2019$fRubem P. Mondaini editor 210 $aCham$cSpringer$d2020 215 $ax, 425 p.$cill.$d24 cm 500 1$3VAN0250001$aTrends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment$92379883 606 $a35-XX$xPartial differential equations [MSC 2020]$3VANC019763$2MF 606 $a92-XX$xBiology and other natural sciences [MSC 2020]$3VANC020839$2MF 606 $a34-XX$xOrdinary differential equations [MSC 2020]$3VANC021251$2MF 606 $a92B20$xNeural networks for/in biological studies, artificial life and related topics [MSC 2020]$3VANC021414$2MF 606 $a92Bxx$xMathematical biology in general [MSC 2020]$3VANC021467$2MF 610 $aBiomathematics$9KW:K 610 $aDelay differential equation$9KW:K 610 $aDelay linear chains$9KW:K 610 $aDiffusion-reaction model$9KW:K 610 $aEdge based compartmental model$9KW:K 610 $aEpidemic models$9KW:K 610 $aEvolutionary adaptation$9KW:K 610 $aOrdinary differential equations$9KW:K 610 $aPartial differential equations$9KW:K 610 $aPrey-predator model$9KW:K 610 $aTime-frequency analysis$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aMondaini$bRubem P.$3VANV096521 712 12$aBIOMAT International Symposium$d19.$f2019$eSzeged, Hungary$3VANV204346 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-46306-9$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 $aVAN0250000 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4911 $e08eMF4911 20220912 996 $aTrends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment$92379883 997 $aUNICAMPANIA