The Numerical Flow Iteration for the Vlasov–Poisson Equation

IF 3 2区 数学 Q1 MATHEMATICS, APPLIED SIAM Journal on Scientific Computing Pub Date : 2024-06-10 DOI:10.1137/23m154710x
Matthias Kirchhart, R. Paul Wilhelm
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Abstract

SIAM Journal on Scientific Computing, Volume 46, Issue 3, Page A1972-A1997, June 2024.
Abstract. 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 [math]-norms, charge, and entropy. Numerical experiments show no energy drift. Furthermore NuFI requires several orders of magnitude less memory than conventional approaches, and can very efficiently be parallelized on GPU clusters. Low fidelity simulations provide good qualitative results for extended periods of time and can be computed on low-cost workstations.
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弗拉索夫-泊松方程的数值流迭代
SIAM 科学计算期刊》,第 46 卷第 3 期,第 A1972-A1997 页,2024 年 6 月。 摘要我们介绍了求解 Vlasov-Poisson 方程的数值流迭代(NuFI)。在本文后面说明的一定意义上,NuFI 提供了分布函数的无限分辨率。NuFI 精确地保留了正性、所有[math]-norms、电荷和熵。数值实验表明没有能量漂移。此外,与传统方法相比,NuFI 所需的内存要少几个数量级,而且可以在 GPU 集群上高效并行处理。低保真模拟可在较长时间内提供良好的定性结果,并可在低成本工作站上进行计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.50
自引率
3.20%
发文量
209
审稿时长
1 months
期刊介绍: The purpose of SIAM Journal on Scientific Computing (SISC) is to advance computational methods for solving scientific and engineering problems. SISC papers are classified into three categories: 1. Methods and Algorithms for Scientific Computing: Papers in this category may include theoretical analysis, provided that the relevance to applications in science and engineering is demonstrated. They should contain meaningful computational results and theoretical results or strong heuristics supporting the performance of new algorithms. 2. Computational Methods in Science and Engineering: Papers in this section will typically describe novel methodologies for solving a specific problem in computational science or engineering. They should contain enough information about the application to orient other computational scientists but should omit details of interest mainly to the applications specialist. 3. Software and High-Performance Computing: Papers in this category should concern the novel design and development of computational methods and high-quality software, parallel algorithms, high-performance computing issues, new architectures, data analysis, or visualization. The primary focus should be on computational methods that have potentially large impact for an important class of scientific or engineering problems.
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