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024 7 $a10.1007/978-3-319-03026-5
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100   $a20150123d2014      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 13$aAn Introduction to Mathematical Population Dynamics $eAlong the trail of Volterra and Lotka /$fby Mimmo Iannelli, Andrea Pugliese
205   $a1st ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (XIV, 346 p.) 
225 1 $aLa Matematica per il 3+2,$x2038-5722 ;$v79
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-319-03025-6 
327   $a1 Malthus, Verhulst and all that -- 2 Delayed population models -- 3 Models of discrete-time population growth -- 4 Stochastic modeling of population growth -- 5 Spatial spread of a population -- 6 Prey-predator models -- 7 Competition among species -- 8 Mathematical modeling of epidemics -- 9 Models with several species and trophic levels -- 10 Appendices: A Basic theory of Ordinary Differential Equations; B Delay Equations; C Discrete dynamics; D Continuous-time Markov chains.
330   $aThis book is an introduction to mathematical biology for students with no experience in biology, but who have some mathematical background. The work is focused on population dynamics and ecology, following a tradition that goes back to Lotka and Volterra, and includes a part devoted to the spread of infectious diseases, a field where mathematical modeling is extremely popular. These themes are used as the area where to understand different types of mathematical modeling and the possible meaning of qualitative agreement of modeling with data. The book also includes a collections of problems designed to approach more advanced questions. This material has been used in the courses at the University of Trento, directed at students in their fourth year of studies in Mathematics. It can also be used as a reference as it provides up-to-date developments in several areas.
410  0$aLa Matematica per il 3+2,$x2038-5722 ;$v79
606   $aBiomathematics
606   $aEcology 
606   $aApplied mathematics
606   $aEngineering mathematics
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   $aApplications of Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M13003
615  0$aBiomathematics.
615  0$aEcology .
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615 14$aMathematical and Computational Biology.
615 24$aTheoretical Ecology/Statistics.
615 24$aApplications of Mathematics.
676   $a570.285
700   $aIannelli$b Mimmo$4aut$4http://id.loc.gov/vocabulary/relators/aut$0149805
702   $aPugliese$b Andrea$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299973103321
996   $aAn Introduction to Mathematical Population Dynamics$92528332
997   $aUNINA