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 a
A Stochastic Weighted Particle Method for the Boltzmann Equation
โ Scribed by Sergej Rjasanow; Wolfgang Wagner
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 357 KB
- Volume
- 124
- Category
- Article
- ISSN
- 0021-9991
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โฆ Synopsis
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. The classical particle case. The new algorithms use a more general procedure of modelmethod introduced by G. A. Bird in 1963 (called ''direct ling collisions between particles. This procedure is based on a ransimulation Monte Carlo'' or DSMC method) was derived dom weight transfer from the particles with the precollision velocities to the particles with the postcollision velocities. แฎ 1996 on the basis of physical intuition (cf. [3,6]). In recent Academic Press, Inc.
years some progress has been achieved in the mathematical foundation of particle methods for the Boltzmann equation. We refer to [1,2,19, 20] concerning convergence 243
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