摘要
基于K均值聚类算法的坏单元指示子适用于各种指示变量和网格,且不含依赖于问题的参数,在数值测试中表现良好.新型坏单元指示子使用简单分类方法替换K均值聚类,不仅做法简单、易于数值实现,还不含对问题敏感的参数.对一维和二维经典算例的数值试验表明,新的坏单元指示子能精准捕捉间断,有效控制数值振荡,并显著节省计算时间.
The troubled-cell indicator using K-means clustering can work with various indication variables and different grids.It is free of problem-dependent parameters and has good performance in the numerical tests.In this paper,we replace the K-means clustering with a simple classification method and obtain a simpler troubled-cell indicator that is easy to implement numerically and contains no problem-sensitive parameters.The numerical tests via one-dimensional and two-dimensional classical test problems demonstrate that the new troubled-cell indicator can detect the discontinuities accurately,control the numerical oscillations effectively and save the computational cost significantly.
作者
王之欢
赵郑豪
朱洪强
Wang Zhihuan;Zhao Zhenghao;Zhu Hongqiang(School of Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)
出处
《宁夏大学学报(自然科学版)》
CAS
2023年第3期201-206,共6页
Journal of Ningxia University(Natural Science Edition)
基金
国家自然科学基金面上项目(11871443)
江苏省研究生科研与实践创新计划项目(KYCX20-0787)
南京邮电大学校级科研基金资助项目(NY222166)。