Monte Carlo simulation of the coagulation processes governed by Smoluchowski equation with random coefficients
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DOI: 10.1515/mcma.1997.3.4.275
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References listed on IDEAS
- Sabelfeld K.K. & Rogasinsky S.V. & Kolodko A.A. & Levykin A.I., 1996. "Stochastic algorithms for solving Smolouchovsky coagulation equation and applications to aerosol growth simulation," Monte Carlo Methods and Applications, De Gruyter, vol. 2(1), pages 41-88, December.
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Cited by:
- Kolodko A. A. & Sabelfeld K. K., 2001. "Stochastic Lagrangian model for spatially inhomogeneous Smoluchowski equation governing coagulating and diffusing particles," Monte Carlo Methods and Applications, De Gruyter, vol. 7(3-4), pages 223-228, December.
- Sabelfeld K. & Kurbanmuradov O., 2000. "Coagulation of aerosol particles in intermittent turbulent flows," Monte Carlo Methods and Applications, De Gruyter, vol. 6(3), pages 211-254, December.
- Sabelfeld Karl K. & Eremeev Georgy, 2018. "A hybrid kinetic-thermodynamic Monte Carlo model for simulation of homogeneous burst nucleation," Monte Carlo Methods and Applications, De Gruyter, vol. 24(3), pages 193-202, September.
- M. Ermakov Sergej & Wagner Wolfgang, 2002. "Monte Carlo difference schemes for the wave equation," Monte Carlo Methods and Applications, De Gruyter, vol. 8(1), pages 1-30, December.
- Eibeck Andreas & Wagner Wolfgang, 2001. "Stochastic algorithms for studying coagulation dynamics and gelation phenomena," Monte Carlo Methods and Applications, De Gruyter, vol. 7(1-2), pages 157-166, December.
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