Random Fields and Stochastic Lagrangian Models () von Karl K. Sabelfeld

Random Fields and Stochastic Lagrangian Models
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Analysis and Applications in Turbulence and Porous Media
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189,95 €*

ISBN-13:
9783110296815
Veröffentl:
2012
Seiten:
414
Autor:
Karl K. Sabelfeld
eBook Format:
PDF
eBook-Typ:
Reflowable
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung

The book presents advanced stochastic models and simulation methods for random flows and transport of particles by turbulent velocity fields and flows in porous media. Two main classes of models are constructed: (1) turbulent flows are modeled as synthetic random fields which have certain statistics and features mimicing those of turbulent fluid in the regime of interest, and (2) the models are constructed in the form of stochastic differential equations for stochastic Lagrangian trajectories of particles carried by turbulent flows.

The book is written for mathematicians, physicists, and engineers studying processes associated with probabilistic interpretation, researchers in applied and computational mathematics, in environmental and engineering sciences dealing with turbulent transport and flows in porous media, as well as nucleation, coagulation, and chemical reaction analysis under fluctuation conditions. It can be of interest for students and post-graduates studying numerical methods for solving stochastic boundary value problems of mathematical physics and dispersion of particles by turbulent flows and flows in porous media.

Autor
Karl K. Sabelfeld, Institute of Computational Mathematics and Geophysics, Russian Acacemy of Sciences, Novosibirsk, Russia.

 

Schlagwörter zu:

Random Fields and Stochastic Lagrangian Models von Karl K. Sabelfeld - mit der ISBN: 9783110296815

MAT027000 MATHEMATICS / Research; MAT041000 MATHEMATICS / Numerical Analysis; SCI042000 SCIENCE / Earth Sciences / Meteorology & Climatology; SCI085000 SCIENCE / Mechanics / Fluids; Footprint Function; Lagrangian Stochastic Model; Random Field; Simulation; Stochastic Flow; Stochastic Models; Turbulence; porous media; random flow, Online-Buchhandlung


 

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