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Differential and Difference Equations with Applications - ICDDEA, Amadora, Portugal, June 2017 (Hardcover, 1st ed. 2018):... Differential and Difference Equations with Applications - ICDDEA, Amadora, Portugal, June 2017 (Hardcover, 1st ed. 2018)
Sandra Pinelas, Tomas Caraballo, Peter Kloeden, John R. Graef
R4,821 Discovery Miles 48 210 Ships in 18 - 22 working days

This book gathers papers from the International Conference on Differential & Difference Equations and Applications 2017 (ICDDEA 2017), held in Lisbon, Portugal on June 5-9, 2017. The editors have compiled the strongest research presented at the conference, providing readers with valuable insights into new trends in the field, as well as applications and high-level survey results. The goal of the ICDDEA was to promote fruitful collaborations between researchers in the fields of differential and difference equations. All areas of differential and difference equations are represented, with a special emphasis on applications.

Applied Nonautonomous and Random Dynamical Systems - Applied Dynamical Systems (Paperback, 1st ed. 2016): Tomas Caraballo,... Applied Nonautonomous and Random Dynamical Systems - Applied Dynamical Systems (Paperback, 1st ed. 2016)
Tomas Caraballo, Xiaoying Han
R1,790 Discovery Miles 17 900 Ships in 18 - 22 working days

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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