A class of algorithms for the numerical treatment of the Boltzmann equation is introduced. This class generalizes the standard direct where f is the solution of Eq. (1.1), by a system of point simulation Monte Carlo method, which is contained as a particular measures defined by a particle system. Th
Reduction of the Number of Particles in the Stochastic Weighted Particle Method for the Boltzmann Equation
β Scribed by Sergej Rjasanow; Thomas Schreiber; Wolfgang Wagner
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 281 KB
- Volume
- 145
- Category
- Article
- ISSN
- 0021-9991
No coin nor oath required. For personal study only.
β¦ Synopsis
Different ideas for reducing the number of particles in the stochastic weighted particle method for the Boltzmann equation are described and discussed. The corresponding error bounds are obtained and numerical tests for the spatially homogeneous Boltzmann equation presented. It is shown that if an appropriate reduction procedure is used then any effect on the accuracy of the numerical scheme is negligible.
π SIMILAR VOLUMES
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