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Analysis of Two-Grid Characteristic Finite Element Methods for Convection-Diffusion Equations

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成果类型:
期刊论文
作者:
Wang, Keyan;Hu, Boxia
作者机构:
[Wang, Keyan; Hu, Boxia] Hengyang Normal Univ, Sch Math & Stat, Hengyang 421008, Hunan, Peoples R China.
[Hu, Boxia] Hunan Univ, Sch Math, Changsha 410082, Hunan, Peoples R China.
语种:
英文
期刊:
Journal of Mathematics
ISSN:
2314-4629
年:
2023
卷:
2023
基金类别:
Science and Technology Plan Project of Hunan Province [2016TP1020]; "Double First-Class" Applied Characteristic Discipline in Hunan Province [[2018]469]; Opening Project of the Guangdong Province Key Laboratory of Computational Science at Sun Yat-sen University [2021015]; Excellent Youth Project of the Hunan Education Department [22B0711]
机构署名:
本校为第一机构
院系归属:
数学与统计学院
摘要:
In this paper, two efficient two-grid algorithms for the convection-diffusion problem with a modified characteristic finite element method are studied. We present an optimal error estimate in L-p-norm for the characteristic finite element method unconditionally, while all previous works require certain time-step restrictions. To linearize the characteristic method equations, two-grid algorithms based on the Newton iteration approach and the correction method are applied. The error estimate and the convergence result of the two-grid method are derived in detail. It is shown that the coarse spac...

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