On the Random Batch Method for second order interacting particle systems
arXiv:2011.10778 · doi:10.1016/j.jcp.2019.108877
Abstract
We investigate several important issues regarding the Random Batch Method (RBM) for second order interacting particle systems. We first show the uniform-in-time strong convergence for second order systems under suitable contraction conditions. Secondly, we propose the application of RBM for singular interaction kernels via kernel splitting strategy, and investigate numerically the application to molecular dynamics.
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Cited by in corpus (5)
- On the Random Batch Method for second order interacting particle systems
- Model predictive control with random batch methods for a guiding problem
- Convergence of a first-order consensus-based global optimization algorithm
- Random Batch Algorithms for Quantum Monte Carlo simulations
- Layer-splitting methods for time-dependent Schrödinger equations of incommensurate systems