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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 $eA Modelling and Pattern Formation Approach /$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 ;$v2232
311 08$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   $aDifferential equations, Partial
606   $aNumerical analysis
606   $aBiotic communities
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$aEcology.
615  0$aDifferential equations, Partial.
615  0$aNumerical analysis.
615  0$aBiotic communities.
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
676   $a570.15118
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   $a9910309664503321
996   $aHyperbolic and kinetic models for self-organised biological aggregations$91558277
997   $aUNINA