Applied Nonautonomous and Random Dynamical Systems Applied Dynamical Systems /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Caraballo, Tomás (Συγγραφέας), Han, Xiaoying (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:SpringerBriefs in Mathematics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Caraballo, Tomás.  |e author. 
245 1 0 |a Applied Nonautonomous and Random Dynamical Systems  |h [electronic resource] :  |b Applied Dynamical Systems /  |c by Tomás Caraballo, Xiaoying Han. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a X, 108 p. 7 illus., 4 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a SpringerBriefs in Mathematics,  |x 2191-8198 
505 0 |a 1 Introduction -- 2 Autonomous dynamical systems. - 3 Nonautonomous dynamical systems -- 4 Random dynamical - References . 
520 |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. 
650 0 |a Mathematics. 
650 0 |a Differential equations. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Probabilities. 
650 0 |a Biomathematics. 
650 1 4 |a Mathematics. 
650 2 4 |a Ordinary Differential Equations. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Genetics and Population Dynamics. 
650 2 4 |a Applications of Mathematics. 
700 1 |a Han, Xiaoying.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319492469 
830 0 |a SpringerBriefs in Mathematics,  |x 2191-8198 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-49247-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)