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Ergodic Theory, Open Dynamics, and Coherent Structures

This book is comprised of selected research articles developed from a workshop on Ergodic Theory, Probabilistic Methods and Applications, held in April 2012 at the Banff International Research Station. It contains contributions from world leading experts in ergodic theory, dynamical systems, numeric...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Bahsoun, Wael (Editor ), Bose, Christopher (Editor ), Froyland, Gary (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Springer Proceedings in Mathematics & Statistics, 70
Temas:
Acceso en línea:Texto Completo

MARC

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505 0 |a 1. Nonautonomous flows as open dynamical systems: characterising escape rates and time-varying boundaries -- 2. Eigenvalues of transfer operators for dynamical systems with holes -- 3. Periodic points, escape rates and escape measures -- 4. A multi-time step method to compute optical flow with scientific priors for observations of a fluidic system -- 5. Numerical approximation of conditionally invariant measures via maximum entropy -- 6. Lebesgue ergodicity of a dissipative subtractive algorithm -- 7. Improved estimates of survival probabilities via isospectral transformations -- 8. Dispersing billiards with small holes -- 9. Almost-invariant and finite-time coherent sets: directionality, duration, and diffusion -- Return-time statistics, hitting-time statistics, and inducing. 
520 |a This book is comprised of selected research articles developed from a workshop on Ergodic Theory, Probabilistic Methods and Applications, held in April 2012 at the Banff International Research Station. It contains contributions from world leading experts in ergodic theory, dynamical systems, numerical analysis, fluid dynamics, and networks. The volume will serve as a valuable reference for mathematicians, physicists, engineers, physical oceanographers, atmospheric scientists, biologists, and climate scientists, who currently use, or wish to learn how to use, probabilistic techniques to cope with dynamical models that display open, coherent, or non-equilibrium behavior. 
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