A deterministic-stochastic method for computing the Boltzmann collision integral in $\mathcal{O}(MN)$ operations
Author:
Publisher
American Institute of Mathematical Sciences (AIMS)
Subject
Modeling and Simulation,Numerical Analysis
Link
https://aimsciences.org/download/files/1937-5093_2018_5_1211.pdf
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fast evaluation of the Boltzmann collision operator using data driven reduced order models;Journal of Computational Physics;2022-12
2. Acceleration of Boltzmann Collision Integral Calculation Using Machine Learning;Mathematics;2021-06-15
3. An ultra-sparse approximation of kinetic solutions to spatially homogeneous flows of non-continuum gas;Results in Applied Mathematics;2020-02
4. Implicit Discontinuous Galerkin Method for the Boltzmann Equation;Journal of Scientific Computing;2020-02
5. Evaluating high order discontinuous Galerkin discretization of the Boltzmann collision integral in \begin{document}$ \mathcal{O}(N^2) $\end{document} operations using the discrete fourier transform;Kinetic & Related Models;2019
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