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Oleksiy V. Kapustyan, Pavlo Kasyanov, Mikhail Z. Zgurovsky (Beteiligte)

Evolution Inclusions and Variation Inequalities for Earth Data Processing III


Long-Time Behavior of Evolution Inclusions Solutions in Earth Data Analysis
2012. 2014. xlii, 330 S. 27 SW-Abb.,. 235 mm
Verlag/Jahr: SPRINGER, BERLIN; SPRINGER 2014
ISBN: 3-642-42807-X (364242807X)
Neue ISBN: 978-3-642-42807-4 (9783642428074)

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This vital mathematical toolkit for solving problems in geophysics and earth sciences is the third in the series and focuses on the long-term behavior of evolution inclusions, based on the theory of extremal solutions to differential-operator problems.
In this sequel to two earlier volumes, the authors now focus on the long-time behavior of evolution inclusions, based on the theory of extremal solutions to differential-operator problems. This approach is used to solve problems in climate research, geophysics, aerohydrodynamics, chemical kinetics or fluid dynamics. As in the previous volumes, the authors present a toolbox of mathematical equations. The book is based on seminars and lecture courses on multi-valued and non-linear analysis and their geophysical application.
Introduction: Long-time Behaviour of Evolution Inclusions Solutions in Earth Data Analysis.- Part I Long-time Behaviour of Autonomous Differential-Operator Systems Solutions for Earth Data Processing: Abstract Theory of Multivalued Semiflows.- Auxiliary Properties of Evolution Inclusions Solutions for Earth Data Processing.- Attractors for Lattice Dynamical Systems.- Part II Long-time Behaviour of Nonautonomous Differential-Operator Systems Solutions for Earth Data Processing: On Global Attractors of Multivalued Semiprocesses and Nonautonomous Evolution Inclusions.- On the Kneser Property for the Complex Ginzburg-Landau Equation and the Lotka-Volterra System with Diffusion.- Pullback Attractors for a Class of Extremal Solutions of the 3D Navier-Stokes System.- Properties of Resolving Operator for Nonautonomous Evolution Inclusions: Pullback Attractors.- Functional Spaces. The Embedding and Approximation Theorems.