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May, 2024
概率通量限制器
Probabilistic Flux Limiters
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Nga T. T. Nguyen-Fotiadis, Robert Chiodi, Michael McKerns, Daniel Livescu, Andrew Sornborger
TL;DR
用高分辨率数据训练的机器学习方法设计的新型概率性通量限制器能更准确地捕捉激波轮廓,优于标准限制器,并可通过扩展概率选择通量限制函数进一步改进。
Abstract
The stable
numerical integration
of
shocks
in
compressible flow simulations
relies on the reduction or elimination of Gibbs phenomena (uns
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