A stochastic approach for the numerical simulation of the general dynamics equation for aerosols

Abstract : We present in this article a stochastic algorithm based mainly on [Monte Carlo Methods and Applications 5(1) (1999) 1; Stochastic particle approximations for Smoluchowski's coagulation equation. Technical Report, Weierstrass-Institut for Applied Analysis and Stochastics, 2000. Preprint No. 585] applied to the integration of the General Dynamics Equation (GDE) for aerosols. This algorithm is validated by comparison with analytical solutions of the coagulation-condensation model and may provide an accurate reference solution in cases for which no analytical solution is available.
Type de document :
Article dans une revue
Journal of Computational Physics, Elsevier, 2003, 184 (2), pp.649-689. 〈10.1016/S0021-9991(02)00041-4〉
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Contributeur : Brigitte Briot <>
Soumis le : lundi 18 octobre 2010 - 14:50:27
Dernière modification le : vendredi 25 mai 2018 - 12:02:05

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Edouard Debry, Bruno Sportisse, Benjamin Jourdain. A stochastic approach for the numerical simulation of the general dynamics equation for aerosols. Journal of Computational Physics, Elsevier, 2003, 184 (2), pp.649-689. 〈10.1016/S0021-9991(02)00041-4〉. 〈inria-00527178〉

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