Random Fields and Stochastic Lagrangian Models

Analysis and Applications in Turbulence and Porous Media
Buch | Hardcover
XV, 399 Seiten
2012
De Gruyter (Verlag)
978-3-11-029664-8 (ISBN)
189,95 inkl. MwSt
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.

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

Erscheint lt. Verlag 28.11.2012
Zusatzinfo 87 b/w ill., 9 b/w tbl.
Verlagsort Berlin/Boston
Sprache englisch
Maße 170 x 240 mm
Gewicht 844 g
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Footprint Function • Lagrangian Stochastic Model • Porous Media • Random field • random flow • Simulation • stochastic flow • Stochastic Flow; Random Field; Lagrangian Stochastic Model; Footprint Function • Stochastic Flows; Random Fields; Lagrangian Stochastic Model; Footprint Function. • stochastic models • Stochastik • Turbulence • Zufall / Random (Statistik) • Zufall (Statistik)
ISBN-10 3-11-029664-0 / 3110296640
ISBN-13 978-3-11-029664-8 / 9783110296648
Zustand Neuware
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