LEADER 02484nam0 2200541 i 450 001 VAN00122796 005 20240806100811.802 017 70$2N$a9783030025861 100 $a20190723d2018 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aHyperbolic and kinetic models for self-organised biological aggregations$ea modelling and pattern formation approach$fRaluca Eftimie 210 $a[Cham]$cSpringer$d2018 215 $aXIII, 278 p.$cill.$d24 cm 461 1$1001VAN00102250$12001 $aLecture notes in mathematics$1210 $aBerlin [etc.]$cSpringer$v2232 500 1$3VAN00234349$aHyperbolic and kinetic models for self-organised biological aggregations$91558277 606 $a35-XX$xPartial differential equations [MSC 2020]$3VANC019763$2MF 606 $a37-XX$xDynamical systems and ergodic theory [MSC 2020]$3VANC020363$2MF 606 $a92-XX$xBiology and other natural sciences [MSC 2020]$3VANC020839$2MF 610 $aAnimal movement$9KW:K 610 $aBifurcation theory$9KW:K 610 $aBiological and ecological aggregations$9KW:K 610 $aCell movement$9KW:K 610 $aHyperbolic equations$9KW:K 610 $aHyperbolic models$9KW:K 610 $aInter-individual and inter-cellular communication$9KW:K 610 $aKinetic equations$9KW:K 610 $aLocal and non-local interactions$9KW:K 610 $aMultiple population models$9KW:K 610 $aMultiscale models$9KW:K 610 $aNumerical simulation$9KW:K 610 $aPattern Formation$9KW:K 610 $aSelf-organised aggregation$9KW:K 610 $aStationary aggregation patterns$9KW:K 610 $aTransport Equations$9KW:K 610 $aTravelling aggregation patterns$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aEftimie$bRaluca$3VANV094286$0766108 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240906$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-02586-1$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 $aVAN00122796 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book $e08LNM2232 20190723 996 $aHyperbolic and kinetic models for self-organised biological aggregations$91558277 997 $aUNICAMPANIA