Hedging direct simulation Monte Carlo bets via event splitting
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Publication:2157107
DOI10.1016/j.jcp.2022.111390OpenAlexW4282587457MaRDI QIDQ2157107
Publication date: 21 July 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2022.111390
Basic methods in fluid mechanics (76Mxx) Time-dependent statistical mechanics (dynamic and nonequilibrium) (82Cxx) Applications of statistical mechanics to specific types of physical systems (82Dxx)
Cites Work
- Two statistical particle split and merge methods for particle-in-cell codes
- Particle merging algorithm for PIC codes
- Fokker-Planck-DSMC algorithm for simulations of rarefied gas flows
- Moment preserving constrained resampling with applications to particle-in-cell methods
- Reduction of the number of particles in the stochastic weighted particle method for the Boltzmann equation
- A new droplet collision algorithm
- Octree particle management for DSMC and PIC simulations
- Conservative method for the reduction of the number of particles in the Monte Carlo simulation method for kinetic equations
- A stochastic weighted particle method for the Boltzmann equation
- A velocity space hybridization-based Boltzmann equation solver
- Adaptive particle management in a particle-in-cell code
- A Higher Order Moment Preserving Reduction Scheme for the Stochastic Weighted Particle Method
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