We present the numerical flow iteration (NuFI) for solving the Vlasov--Poisson equation. In a certain sense specified later herein, NuFI provides infinite resolution of the distribution function. NuFI exactly preserves positivity, all $L^p$-norms, charge, and entropy. Numerical experiments show no energy drift. NuFI is fast, requires several orders of magnitude less memory than conventional approaches, and can very efficiently be parallelised on GPU clusters. Low fidelity simulations provide good qualitative results for extended periods of time and can be computed on low-cost workstations.
翻译:我们展示了用于解决Vlasov-Poisson 方程式的数值循环( NuFI) 。 在本文后面具体说明的某种意义上, NuFI 提供了分配函数的无限分辨率。 NuFI 完全保留了假设性, 全部为$L ⁇ p$- 诺尔姆、 电荷和 entropy 。 数值实验显示没有能源漂移 。 NuFI 速度快, 需要几个数量级的内存比常规方法少, 并且可以在 GPU 集群上非常高效地平行。 低忠诚性模拟为较长的时间提供了良好的质量结果, 并且可以在低成本的工作站上计算 。