Quasi-Optimal Convergence Rate of an Adaptive Weakly Over-Penalized Interior Penalty Method

被引:5
|
作者
Owens, Luke [1 ]
机构
[1] Automated Trading Desk, Mt Pleasant, SC 29464 USA
关键词
Discontinuous Galerkin; A posteriori error estimator; Symmetric interior penalty method; Weak over-penalization; Adaptive algorithm; Quasi-optimal convergence; FINITE-ELEMENT-METHOD;
D O I
10.1007/s10915-013-9765-1
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We analyze an adaptive discontinuous finite element method (ADFEM) for the weakly over-penalized symmetric interior penalty (WOPSIP) operator applied to symmetric positive definite second order elliptic boundary value problems. For first degree polynomials, we prove that the ADFEM is a contraction for the sum of the energy error and the scaled error estimator between two consecutive loops of the adaptive algorithm. After establishing this geometric decay, we define a suitable approximation class and prove that the adaptive WOPSIP method obeys a quasi-optimal rate of convergence.
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页码:309 / 333
页数:25
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