Conservative method for the reduction of the number of particles in the Monte Carlo simulation method for kinetic equations

DOI10.1016/j.jcp.2004.09.007zbMath1143.82316OpenAlexW2042795182MaRDI QIDQ1777068

Alexander Vikhansky, Markus Kraft

Publication date: 12 May 2005

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2004.09.007

zbMATH Keywords

Monte carloPopulation balancesRandom weight transferWeighted particles method

Mathematics Subject Classification ID

Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics (82C31)

Related Items (4)

Hedging direct simulation Monte Carlo bets via event splitting ⋮ A Higher Order Moment Preserving Reduction Scheme for the Stochastic Weighted Particle Method ⋮ Stochastic weighted particle methods for population balance equations ⋮ A new event-driven constant-volume method for solution of the time evolution of particle size distribution

Cites Work

• Unnamed Item
• Reduction of the number of particles in the stochastic weighted particle method for the Boltzmann equation
• A stochastic weighted particle method for the Boltzmann equation
• Strategies for efficient particle resolution in the direct simulation Monte Carlo method.
• Convergence of the Stochastic Weighted Particle Method for the Boltzmann Equation
• Stochastic modelling of the effects of liquid droplet collisions in impinging streams absorbers and combustors

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