Evolution Inclusions and Variation Inequalities for Earth Data Processing III Long-Time Behavior of Evolution Inclusions Solutions in Earth Data Analysis /

• Main Authors: Zgurovsky, Mikhail Z. (Author), Kasyanov, Pavlo O. (Author), Kapustyan, Oleksiy V. (Author), Valero, José (Author), Zadoianchuk, Nina V. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
• Series: Advances in Mechanics and Mathematics, 27
• Subjects: Mathematics.; Physical chemistry.; Geophysics.; Applied mathematics.; Engineering mathematics.; Complexity, Computational.; Fluid mechanics.; Applications of Mathematics.; Geophysics and Environmental Physics.; Geophysics/Geodesy.; Engineering Fluid Dynamics.; Physical Chemistry.; Complexity.

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 o...

Table of Contents:

• 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.