LEADER 01104nam0-22003371i-450- 001 990005562300403321 005 20101117145808.0 035 $a000556230 035 $aFED01000556230 035 $a(Aleph)000556230FED01 035 $a000556230 100 $a19990604d1908----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aStoria finanziaria del comune di Napoli nel secolo XIX$fMarino Rodinó di Miglione 210 $aNapoli$cLuigi Pierro$d1908 215 $a344 p.$d26 cm 225 1 $aR. Universitą di Napoli$itesi di Laurea pubblicata dalla Facoltą di Giurisprudenza (Fondazione de Pilla)$v12 676 $a336.014$v21$zita 700 1$aRodino' Di Miglione,$bMarino$0183167 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005562300403321 952 $aDissertaz. 8 (12)$bs.i.$fFGBC 952 $aLeg. Fiore XIV 8$b6054$fFGBC 952 $a336.01 ROD 1 (BIS)$bST.MED.MOD. 6978$fFLFBC 959 $aFLFBC 959 $aFGBC 996 $aStoria finanziaria del comune di Napoli nel secolo XIX$9606375 997 $aUNINA LEADER 03738nam 22007095 450 001 996466665803316 005 20200704111504.0 010 $a3-030-02586-1 024 7 $a10.1007/978-3-030-02586-1 035 $a(CKB)4100000007389562 035 $a(DE-He213)978-3-030-02586-1 035 $a(MiAaPQ)EBC6253176 035 $a(PPN)233797092 035 $a(EXLCZ)994100000007389562 100 $a20190107d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHyperbolic and Kinetic Models for Self-organised Biological Aggregations$b[electronic resource] $eA Modelling and Pattern Formation Approach /$fby Raluca Eftimie 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIII, 280 p. 73 illus., 59 illus. in color.) 225 1 $aMathematical Biosciences Subseries,$x2524-6771 ;$v2232 311 $a3-030-02585-3 320 $aIncludes bibliographical references and index. 330 $aThis book focuses on the spatio-temporal patterns generated by two classes of mathematical models (of hyperbolic and kinetic types) that have been increasingly used in the past several years to describe various biological and ecological communities. Here we combine an overview of various modelling approaches for collective behaviours displayed by individuals/cells/bacteria that interact locally and non-locally, with analytical and numerical mathematical techniques that can be used to investigate the spatio-temporal patterns produced by said individuals/cells/bacteria. Richly illustrated, the book offers a valuable guide for researchers new to the field, and is also suitable as a textbook for senior undergraduate or graduate students in mathematics or related disciplines. 410 0$aMathematical Biosciences Subseries,$x2524-6771 ;$v2232 606 $aBiomathematics 606 $aEcology  606 $aPartial differential equations 606 $aNumerical analysis 606 $aCommunity ecology, Biotic 606 $aMathematics 606 $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000 606 $aTheoretical Ecology/Statistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L19147 606 $aPartial Differential Equations$3https://scigraph.springernature.com/ontologies/product-market-codes/M12155 606 $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050 606 $aCommunity & Population Ecology$3https://scigraph.springernature.com/ontologies/product-market-codes/L19120 606 $aMathematics of Planet Earth$3https://scigraph.springernature.com/ontologies/product-market-codes/M36000 615 0$aBiomathematics. 615 0$aEcology . 615 0$aPartial differential equations. 615 0$aNumerical analysis. 615 0$aCommunity ecology, Biotic. 615 0$aMathematics. 615 14$aMathematical and Computational Biology. 615 24$aTheoretical Ecology/Statistics. 615 24$aPartial Differential Equations. 615 24$aNumerical Analysis. 615 24$aCommunity & Population Ecology. 615 24$aMathematics of Planet Earth. 676 $a570.151 700 $aEftimie$b Raluca$4aut$4http://id.loc.gov/vocabulary/relators/aut$0766108 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466665803316 996 $aHyperbolic and kinetic models for self-organised biological aggregations$91558277 997 $aUNISA