A posteriori estimators for the h – p version of the finite element method in 1D
✍ Scribed by Alfred Schmidt; Kunibert G. Siebert
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 341 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0168-9274
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✦ Synopsis
We consider the h-p finite element method for elliptic problems in one dimension. The strategy for choosing an h-or p-enrichment for an element which is subject to a refinement in an adaptive method is not well understood; in particular, this is the most important open problem associated with h-p-refinement. A mathematical derivation of a posteriori estimates for the error and the error reduction corresponding to an h-or p-refinement of elements is presented. The estimation of the error reduction uses the solution of local problems, the estimate is bounded by the true reduction from below and above with constants only depending on the differential operator. Based on these a posteriori estimates an adaptive algorithm is derived. Numerical results show the efficiency of the estimators for several problem classes. For the x α model singularity the a priori known optimal h-p mesh is obtained by this algorithm.
📜 SIMILAR VOLUMES
We analyze an a posteriori error estimator for nonlinear parabolic differential equations in several space dimensions. The spatial discretization is carried out using the p-version of the finite element method. The error estimates are obtained by solving an elliptic problem at the desired times when
## a b s t r a c t In this paper, we propose a posteriori error estimators for certain quantities of interest for a first-order least-squares finite element method. In particular, we propose an a posteriori error estimator for when one is interested in σ -σ h 0 where σ = -A∇u. Our a posteriori err
## Abstract The paper is the second in the series addressing the __h‐p__ version of the finite element method for parabolic equations. The present paper addresses the case when in both variables, the spatial and time, the __h‐p__ version is used. Error estimation is given and numerical computations