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Stochastic algorithms for studying coagulation dynamics and gelation phenomena

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  • Eibeck Andreas
  • Wagner Wolfgang

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  • 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.
    • Handle: RePEc:bpj:mcmeap:v:7:y:2001:i:1-2:p:157-166:n:9
    DOI: 10.1515/mcma.2001.7.1-2.157
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    References listed on IDEAS

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    1. 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.
    2. Kolodko, A. & Sabelfeld, K. & Wagner, W., 1999. "A stochastic method for solving Smoluchowski's coagulation equation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 49(1), pages 57-79.
    3. Sabelfeld, K.K., 1998. "Stochastic models for coagulation of aerosol particles in intermittent turbulent flows," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 47(2), pages 85-101.
    4. Garcia, Alejandro L. & van den Broeck, Christian & Aertsens, Marc & Serneels, Roger, 1987. "A Monte Carlo simulation of coagulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 143(3), pages 535-546.
    5. Sabelfeld K.K. & Kolodko A.A., 1997. "Monte Carlo simulation of the coagulation processes governed by Smoluchowski equation with random coefficients," Monte Carlo Methods and Applications, De Gruyter, vol. 3(4), pages 275-312, December.
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