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A stochastic approach for the numerical simulation of the General
Dynamics Equation for aerosols
Edouard Debry, Benjamin Jourdain and Bruno Sportisse
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Accepted for publication
at Journal of Computational Physics.
This article is the continued of the article
Modeling aerosol dynamics : a stochastic algorithm.
The algorithm,
initially based on [1] and [3], is extended to condensation/evaporation
and improved in order to keep the number of numerical particles constant. It is then validated by comparison with an analytical
solution of a coagulation-condensation-evaporation model and last
applied to realistic cases for atmospheric aerosols.
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- 1
- A. Eibeck and W. Wagner.
Stochastic particle approximations for smoluchowski's coagulation equation.
Technical report, Weierstrass-Institut for Applied Analysis and Stochastics, 2000.
Preprint No. 585.
- 2
- E.R. Domilovskii, A.A. Lushnikov, and V.N. Piskunov.
Monte carlo simulation of coagulation processes.
Dockl. Akad. Nauk SSSR, Ser. Phys. Chem., 240(1), 1978.
- 3
- A.A. Kolodko and W. Wagner.
- Convergence of a nanbu type method for the smoluchowski equation.
- Monte Carlo Methods and Applications, 3(4):255--273, 1997.