趋同(经济学)
有限元法
反向欧拉法
算法
自适应步长
理论(学习稳定性)
数学
滤波器(信号处理)
时间步进
计算复杂性理论
常量(计算机编程)
时间复杂性
构造(python库)
计算机科学
欧拉公式
数值分析
欧拉方程
数学分析
物理
机器学习
经济
计算机视觉
热力学
程序设计语言
经济增长
作者
Jilian Wu,Ning Li,Xinlong Feng
摘要
.In this paper, we present, analyze, and test a novel low-complexity time-stepping finite element method for natural convection problems utilizing a time filter (TF). First, via a TF to postprocess the solutions of backward Euler (BE) schemes, we make a minimally intrusive modification to the existing codes to improve the time accuracy by one order. This also provides, at no extra complexity, an estimate of the temporal error,which is easy to construct a novel adaptive algorithm. Additionally, the TF can remove the overdamping of the BE scheme while remaining unconditionally energy stable. Hence, this paper addresses the question, how can one improve the time accuracy without increasing computational and cognitive complexity? Then long time stability and error estimates of BE plus time filter (BETF) with constant time stepsize are proved. Moreover, we construct adaptive algorithms by extending the approach to variable time stepsize, and we extend the methods to higher order algorithms. Finally, numerical tests confirm the convergence rates of our method and validate the theoretical results.Keywordserror estimatesstability analysisadaptive time-stepping methodtime filternatural convectionMSC codes65N1265N3065N5035Q79
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