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一类Stokes方程的最小二乘混合元方法
引用本文:顾海明,羊丹平,隋树林,刘新民.一类Stokes方程的最小二乘混合元方法[J].应用数学和力学,2000,21(5):501-510.
作者姓名:顾海明  羊丹平  隋树林  刘新民
作者单位:1.青岛化工学院计算机系, 青岛 266042;
基金项目:国家教委博士点基金资助项目
摘    要:对定常和非定常两种类型的Stokes方程建立了一类新的最小二乘混合元方法,并进行了分析,对定常的方程,采用了对uσ的不同指标的有限元空间进行计算(LBB条件不需要),得到了最优的H1和L2模估计.对非定常的方程,采用了传统的Raviart-Thomas混合元空间,得到了最优的L2模估计.

关 键 词:最小二乘    混合元    误差估计
收稿时间:1998-09-01
修稿时间:1998-09-01

Least-Squares Mixed Finite Element Method for a Class of Stokes Equation
Gu Haiming,Yang Danping,Sui Shulin,Liu Xinmin.Least-Squares Mixed Finite Element Method for a Class of Stokes Equation[J].Applied Mathematics and Mechanics,2000,21(5):501-510.
Authors:Gu Haiming  Yang Danping  Sui Shulin  Liu Xinmin
Institution:1.Qingdao Institute of Chemical Technology, Qingdao 266042, P. R. China;2.Department of Mathematics, Shandong University, Jinan 250100, P. R. China
Abstract:A least-squares mixed finite element method was formulated for a class of Stokes equations in two dimensional domains. The steady state and the time-dependent Stokes' equations were considered. For the stationary equation, optimal L2 and H1 -error estimates are derived under the standard regularity assumption on the finite element partition(the LBB-condition is not required). For the evolutionary equation, optimal L2 estimates are derived under the conventional Raviart-Thomas spaces.
Keywords:Least squares  mixed finite element method  error estimates
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