Weak Galerkin;
Finite element methods;
Discrete weak divergence;
Second-order elliptic problems;
Hybridized mixed finite element methods;
ELLIPTIC PROBLEMS;
D O I:
10.1016/j.cam.2016.01.004
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
This paper presents a hybridized formulation for the weak Galerkin mixed finite element method (WG-MFEM) which was introduced and analyzed in Wang and Ye (2014) for second order elliptic equations. The WG-MFEM method was designed by using discontinuous piecewise polynomials on finite element partitions consisting of polygonal or polyhedral elements of arbitrary shape. The key to WG-MFEM is the use of a discrete weak divergence operator which is defined and computed by solving inexpensive problems locally on each element. The hybridized formulation of this paper leads to a significantly reduced system of linear equations involving only the unknowns arising from the Lagrange multiplier in hybridization. Optimal-order error estimates are derived for the hybridized WG-MFEM approximations. Some numerical results are reported to confirm the theory and a superconvergence for the Lagrange multiplier. (C) 2016 Elsevier B.V. All rights reserved.
机构:
Lingnan Normal Univ, Sch Math & Stat, Zhanjiang 524048, Guangdong, Peoples R ChinaLingnan Normal Univ, Sch Math & Stat, Zhanjiang 524048, Guangdong, Peoples R China
Li, Guanrong
Chen, Yanping
论文数: 0引用数: 0
h-index: 0
机构:
South China Normal Univ, Sch Math Sci, Guangzhou 520631, Guangdong, Peoples R ChinaLingnan Normal Univ, Sch Math & Stat, Zhanjiang 524048, Guangdong, Peoples R China
Chen, Yanping
Huang, Yunqing
论文数: 0引用数: 0
h-index: 0
机构:
Xiangtan Univ, Sch Math & Computat Sci, Hunan Key Lab Computat & Simulat Sci & Engn, Xiangtan 411105, Hunan, Peoples R ChinaLingnan Normal Univ, Sch Math & Stat, Zhanjiang 524048, Guangdong, Peoples R China
Huang, Yunqing
ELECTRONIC RESEARCH ARCHIVE,
2020,
28
(02):
: 821
-
836
机构:
Nanjing Normal Univ, Sch Math Sci, Jiangsu Key Lab NSLSCS, Nanjing 210023, Peoples R ChinaNanjing Normal Univ, Sch Math Sci, Jiangsu Key Lab NSLSCS, Nanjing 210023, Peoples R China
Li, Dan
Wang, Chunmei
论文数: 0引用数: 0
h-index: 0
机构:
Univ Florida, Dept Math, Gainesville, FL 32611 USANanjing Normal Univ, Sch Math Sci, Jiangsu Key Lab NSLSCS, Nanjing 210023, Peoples R China
Wang, Chunmei
Wang, Junping
论文数: 0引用数: 0
h-index: 0
机构:
Natl Sci Fdn, Div Math Sci, Alexandria, VA 22314 USANanjing Normal Univ, Sch Math Sci, Jiangsu Key Lab NSLSCS, Nanjing 210023, Peoples R China