Random Fields and Stochastic Lagrangian Models

Nikolai A. Simonov

ISBN 10: 3110296640 / ISBN 13: 9783110296648

Published by De Gruyter, De Gruyter Nov 2012, 2012

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Walter de Gruyter GmbH, Genthiner Strasse 13, 10785 Berlin 416 pp. Englisch.

Seller Inventory # 9783110296648

Bibliographic Details

• Title: Random Fields and Stochastic Lagrangian Models
• Publisher: De Gruyter, De Gruyter Nov 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 3110296640
• ISBN 13: 9783110296648
• Binding: Buch
• Condition: Neu
• Dimensions: 246W x 175H x 28D millimeters 246 millimeters width by 175 millimeters height by 28 millimeters depth
• Weight: 881 grams

About this title

Synopsis

Probabilistic approach and stochastic simulation become more and more popular in all branches of science and technology, especially in problems where the data are randomly fluctuating, or they are highly irregular in deterministic sense. As a rule, in such problems it is very difficult and expensive to carry out measurements to extract the desired data. As important examples the book mentions the turbulent flow simulation in atmosphere, and construction of flows through porous media. The temporal and spatial scales of the input parameters in this class of problems are varying enormously, and the behaviour is very complicated, so that there is no chance to describe it deterministically.

About the Author

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