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03511nam a22005535i 4500 |
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978-3-319-49247-6 |
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161228s2016 gw | s |||| 0|eng d |
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|a 9783319492476
|9 978-3-319-49247-6
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|a 10.1007/978-3-319-49247-6
|2 doi
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|a QA372
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|a PBKJ
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|a MAT007000
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|a PBKJ
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|a 515.352
|2 23
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|a Caraballo, Tomás.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Applied Nonautonomous and Random Dynamical Systems
|h [electronic resource] :
|b Applied Dynamical Systems /
|c by Tomás Caraballo, Xiaoying Han.
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250 |
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|a 1st ed. 2016.
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264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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300 |
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|a X, 108 p. 7 illus., 4 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Mathematics,
|x 2191-8198
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|a 1 Introduction -- 2 Autonomous dynamical systems. - 3 Nonautonomous dynamical systems -- 4 Random dynamical - References .
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520 |
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|a This book offers an introduction to the theory of non-autonomous and stochastic dynamical systems, with a focus on the importance of the theory in the Applied Sciences. It starts by discussing the basic concepts from the theory of autonomous dynamical systems, which are easier to understand and can be used as the motivation for the non-autonomous and stochastic situations. The book subsequently establishes a framework for non-autonomous dynamical systems, and in particular describes the various approaches currently available for analysing the long-term behaviour of non-autonomous problems. Here, the major focus is on the novel theory of pullback attractors, which is still under development. In turn, the third part represents the main body of the book, introducing the theory of random dynamical systems and random attractors and revealing how it may be a suitable candidate for handling realistic models with stochasticity. A discussion of future research directions serves to round out the coverage.
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650 |
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|a Differential equations.
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|a Probabilities.
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|a Biomathematics.
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|a Applied mathematics.
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650 |
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|a Engineering mathematics.
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650 |
1 |
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|a Ordinary Differential Equations.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M12147
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650 |
2 |
4 |
|a Probability Theory and Stochastic Processes.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M27004
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650 |
2 |
4 |
|a Genetics and Population Dynamics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M31010
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650 |
2 |
4 |
|a Applications of Mathematics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M13003
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700 |
1 |
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|a Han, Xiaoying.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
0 |
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|t Springer Nature eBook
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776 |
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8 |
|i Printed edition:
|z 9783319492469
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776 |
0 |
8 |
|i Printed edition:
|z 9783319492483
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830 |
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|a SpringerBriefs in Mathematics,
|x 2191-8198
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856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-49247-6
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912 |
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|a ZDB-2-SMA
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912 |
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|a ZDB-2-SXMS
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950 |
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|a Mathematics and Statistics (SpringerNature-11649)
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950 |
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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