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001 978-3-030-22583-4
003 DE-He213
005 20200812132350.0
007 cr nn 008mamaa
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020 _a9783030225834
_9978-3-030-22583-4
024 7 _a10.1007/978-3-030-22583-4
_2doi
040 _cCUS
050 4 _aNX180.M33
072 7 _aPBW
_2bicssc
072 7 _aMAT003000
_2bisacsh
072 7 _aPBW
_2thema
082 0 4 _a519
_223
245 1 4 _aThe Dynamics of Biological Systems
_h[electronic resource] /
_cedited by Arianna Bianchi, Thomas Hillen, Mark A. Lewis, Yingfei Yi.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXIV, 267 p. 63 illus., 34 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMathematics of Planet Earth,
_x2524-4264 ;
_v4
505 0 _aChapter1. Dynamical Systems in Biology - A Short Introduction -- Chapter2. Modelling of Molecular Networks -- Chapter3. Large-Scale Epidemic Models and a Graph-Theoretic Method for Constructing Lyapunov Functions -- Chapter4. Mixing in Meta-Population Models -- Chapter5. Structured Population Models for Vector-Borne Infection Dynamics -- Chapter6. Stochastic Population Kinetics and Its Underlying Mathematicothermodynamics -- Chapter7. The Turing Model for Biological Pattern Formation -- Chapter8. Persistence, Competition and Evolution -- Chapter9. Kinetic equations and cell motion: An Introduction.
520 _aThe book presents nine mini-courses from a summer school, Dynamics of Biological Systems, held at the University of Alberta in 2016, as part of the prestigious seminar series: Séminaire de Mathématiques Supérieures (SMS). It includes new and significant contributions in the field of Dynamical Systems and their applications in Biology, Ecology, and Medicine. The chapters of this book cover a wide range of mathematical methods and biological applications. They - explain the process of mathematical modelling of biological systems with many examples, - introduce advanced methods from dynamical systems theory, - present many examples of the use of mathematical modelling to gain biological insight, - discuss innovative methods for the analysis of biological processes, - contain extensive lists of references, which allow interested readers to continue the research on their own. Integrating the theory of dynamical systems with biological modelling, the book will appeal to researchers and graduate students in Applied Mathematics and Life Sciences. .
650 0 _aMathematics.
650 0 _aBiomathematics.
650 0 _aSystems biology.
650 0 _aBiological systems.
650 1 4 _aMathematics of Planet Earth.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M36000
650 2 4 _aMathematical and Computational Biology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M31000
650 2 4 _aSystems Biology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/P27050
650 2 4 _aSystems Biology.
_0https://scigraph.springernature.com/ontologies/product-market-codes/L15010
700 1 _aBianchi, Arianna.
700 1 _aHillen, Thomas.
700 1 _aLewis, Mark A.
700 1 _aYi, Yingfei.
830 0 _aMathematics of Planet Earth,
_x2524-4264 ;
_v4
856 4 0 _uhttps://doi.org/10.1007/978-3-030-22583-4
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
942 _cEBK
999 _c206458
_d206458