EACH H1/2-STABLE PROJECTION YIELDS CONVERGENCE AND QUASI-OPTIMALITY OF ADAPTIVE FEM WITH INHOMOGENEOUS DIRICHLET DATA IN Rd
EACH H1/2-STABLE PROJECTION YIELDS CONVERGENCE AND QUASI-OPTIMALITY OF ADAPTIVE FEM WITH INHOMOGENEOUS DIRICHLET DATA IN Rd
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DOI:
10.1051/m2an/2013069
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发表时间:
2013-07-01
期刊:
影响因子:
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通讯作者:
Praetorius, D.
中科院分区:
文献类型:
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作者:
Aurada, M.;Feischl, M.;Praetorius, D.
We consider the solution of second order elliptic PDEs in R-d with inhomogeneous Dirichlet data by means of an h-adaptive FEM with fixed polynomial order p epsilon N. As model example serves the Poisson equation with mixed Dirichlet-Neumann boundary conditions, where the inhomogeneous Dirichlet data are discretized by use of an H-1/2-stable projection, for instance, the L-2-projection for p = 1 or the Scott-Zhang projection for general p >= 1. For error estimation, we use a residual error estimator which includes the Dirichlet data oscillations. We prove that each H-1/2-stable projection yields convergence of the adaptive algorithm even with quasi-optimal convergence rate. Numerical experiments with the Scott-Zhang projection conclude the work.