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001 SUN0113918
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010   $d0.00
017 70$2N$a978-3-642-27251-6
100   $a20180123d2015       |0engc50      ba
101   $aeng
102   $aDE
105   $a||||    |||||
200 1 $a*Methods and models in mathematical biology$edeterministic and stochastic approaches$fJohannes Muller, Christina Kuttler
205   $aBerlin : Springer, 2015
210   $aXIII$d711 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0102827$12001 $a*Lecture notes on mathematical modelling in the life sciences$1210  $aBerlin$cSpringer$d2013-.
606   $a60J80$xBranching processes (Galton-Watson, birth-and-death, etc.) [MSC 2020]$2MF$3SUNC020096
606   $a92C20$xNeural biology [MSC 2020]$2MF$3SUNC020365
606   $a92-XX$xBiology and other natural sciences [MSC 2020]$2MF$3SUNC020839
606   $a92D25$xPopulation dynamics (general) [MSC 2020]$2MF$3SUNC022805
606   $a92D15$xProblems related to evolution [MSC 2020]$2MF$3SUNC023324
606   $a92D40$xEcology [MSC 2020]$2MF$3SUNC023326
606   $a60J28$xApplications of continuous-time Markov processes on discrete state spaces [MSC 2020]$2MF$3SUNC028388
606   $a92D30$xEpidemiology [MSC 2020]$2MF$3SUNC028389
606   $a92C45$xKinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020]$2MF$3SUNC029594
620   $dBerlin$3SUNL000066
700  1$aMuller$b, Johannes$3SUNV088006$030330
701  1$aKuttler$b, Christina$3SUNV088007$0755693
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20210503$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-642-27251-6
912   $aSUN0113918
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                  0319        $e08eMF319               20180123            
996   $aMethods and models in mathematical biology$91522845
997   $aUNICAMPANIA