IDEAS home Printed from https://ideas.repec.org/a/bpj/mcmeap/v7y2001i1-2p157-166n9.html
   My bibliography  Save this article

Stochastic algorithms for studying coagulation dynamics and gelation phenomena

Author

Listed:
  • Eibeck Andreas
  • Wagner Wolfgang

Abstract

No abstract is available for this item.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/mcma.2001.7.1-2.157
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/mcma.2001.7.1-2.157?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wagner, Wolfgang, 2003. "Stochastic, analytic and numerical aspects of coagulation processes," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 62(3), pages 265-275.
    2. 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.
    3. Sabelfeld Karl K. & Levykin Alexander I. & Kireeva Anastasiya E., 2015. "Stochastic simulation of fluctuation-induced reaction-diffusion kinetics governed by Smoluchowski equations," Monte Carlo Methods and Applications, De Gruyter, vol. 21(1), pages 33-48, March.
    4. Sabelfeld, Karl K., 2018. "A random walk on spheres based kinetic Monte Carlo method for simulation of the fluctuation-limited bimolecular reactions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 143(C), pages 46-56.
    5. 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.
    6. 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.
    7. 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.
    8. Sabelfeld, Karl & Kolodko, Anastasia, 2003. "Stochastic Lagrangian models and algorithms for spatially inhomogeneous Smoluchowski equation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 61(2), pages 115-137.
    9. Kolodko Anastasya A. & Wagner Wolfgang, 1997. "Convergence of a Nanbu type method for the Smoluchowski equation," Monte Carlo Methods and Applications, De Gruyter, vol. 3(4), pages 255-274, December.
    10. Wei, Jianming, 2014. "A parallel Monte Carlo method for population balance modeling of particulate processes using bookkeeping strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 186-197.
    11. Sabelfeld K. & Levykin A. & Privalova T., 2007. "A Fast Stratified Sampling Simulation of Coagulation Processes," Monte Carlo Methods and Applications, De Gruyter, vol. 13(1), pages 71-88, April.
    12. Sabelfeld Karl K., 2016. "Splitting and survival probabilities in stochastic random walk methods and applications," Monte Carlo Methods and Applications, De Gruyter, vol. 22(1), pages 55-72, March.
    13. Lécot C. & Tarhini A., 2008. "A quasi-stochastic simulation of the general dynamics equation for aerosols," Monte Carlo Methods and Applications, De Gruyter, vol. 13(5-6), pages 369-388, January.
    14. 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.
    15. 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.
    16. 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.
    17. Kolodko A. & Sabelfeld K., 2003. "Stochastic particle methods for Smoluchowski coagulation equation: variance reduction and error estimations," Monte Carlo Methods and Applications, De Gruyter, vol. 9(4), pages 315-339, December.
    18. Aertsens, Marc, 1988. "Simulation of the front deformation by diffusion induced coagulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 151(2), pages 193-206.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:mcmeap:v:7:y:2001:i:1-2:p:157-166:n:9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.