LEADER 01534nam0 2200325 i 450 
001 SUN0122796
005 20190723120006.43
010   $d0.00
017 70$2N$a978-3-030-02586-1
100   $a20190723d2018       |0engc50      ba
101   $aeng
102   $aCH
105   $a||||    |||||
200 1 $a*Hyperbolic and kinetic models for self-organised biological aggregations$ea modelling and pattern formation approach$fRaluca Eftimie
205   $a[Cham] : Springer, 2018
210   $aXIII$d278 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
461  1$1001SUN0102250$12001 $a*Lecture notes in mathematics$v2232$1210  $aBerlin [etc.]$cSpringer$d1964-$1215  $aDal 2011 i volumi sono disponibili in formato elettronico.
606   $a35-XX$xPartial differential equations [MSC 2020]$2MF$3SUNC019763
606   $a37-XX$xDynamical systems and ergodic theory [MSC 2020]$2MF$3SUNC020363
606   $a92-XX$xBiology and other natural sciences [MSC 2020]$2MF$3SUNC020839
620   $aCH$dCham$3SUNL001889
700  1$aEftimie$b, Raluca$3SUNV094286$0766108
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20200921$gRICA
856 4 $uhttp://doi.org/10.1007/978-3-030-02586-1
912   $aSUN0122796
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                              $e08LNM2232              20190723            
996   $aHyperbolic and kinetic models for self-organised biological aggregations$91558277
997   $aUNICAMPANIA