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Stochastic Methods in Fluid Mechanics [electronic resource] / edited by Sergio Chibbaro, Jean Pierre Minier.

Contributor(s): Series: CISM International Centre for Mechanical Sciences ; 548Publisher: Vienna : Springer Vienna : Imprint: Springer, 2014Edition: 1Description: IX, 165 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783709116227
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 620.1064 23
LOC classification:
  • TA357-359
Online resources: In: Springer eBooksSummary: Since their first introduction in natural sciences through the work of Einstein on Brownian motion in 1905 and further works, in particular by Langevin, Smoluchowski and others, stochastic processes have been used in several areas of science and technology. For example, they have been applied in chemical studies, or in fluid turbulence and for combustion and reactive flows.The articles in this book provide a general and unified framework in which stochastic processes are presented as modeling tools for various issues in engineering, physics and chemistry, with particular focus on fluid mechanics and notably dispersed two-phase flows. The aim is to develop what can referred to as stochastic modeling for a whole range of applications.
Item type: eBooks
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Since their first introduction in natural sciences through the work of Einstein on Brownian motion in 1905 and further works, in particular by Langevin, Smoluchowski and others, stochastic processes have been used in several areas of science and technology. For example, they have been applied in chemical studies, or in fluid turbulence and for combustion and reactive flows.The articles in this book provide a general and unified framework in which stochastic processes are presented as modeling tools for various issues in engineering, physics and chemistry, with particular focus on fluid mechanics and notably dispersed two-phase flows. The aim is to develop what can referred to as stochastic modeling for a whole range of applications.

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