Considering the Dirichlet problem for Poisson's equation in two and three dimensions, we derive a posteriori error estimators for finite element solutions with interpolated boundary values. The estimators are reliable and (locally) efficient with respect to the energy norm error, also in the case of discontinuous boundary values and load terms that are not square-integrable due to singularities at the boundary of the underlying domain. Moreover, we propose an adaptive algorithm based upon these estimators and test it also in nonsmooth cases of the aforementioned type: its convergence rate is optimal.

Locally efficient and reliable a posteriori error estimators for Dirichlet problems / A. Veeser, R. Sacchi. - In: MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES. - ISSN 0218-2025. - 16:3(2006), pp. 319-346.

Locally efficient and reliable a posteriori error estimators for Dirichlet problems

A. Veeser
Primo
;
2006

Abstract

Considering the Dirichlet problem for Poisson's equation in two and three dimensions, we derive a posteriori error estimators for finite element solutions with interpolated boundary values. The estimators are reliable and (locally) efficient with respect to the energy norm error, also in the case of discontinuous boundary values and load terms that are not square-integrable due to singularities at the boundary of the underlying domain. Moreover, we propose an adaptive algorithm based upon these estimators and test it also in nonsmooth cases of the aforementioned type: its convergence rate is optimal.
A posteriori estimates; Adaptive finite elements; Dirichlet problem; Energy norm error; Interpolated boundary conditions
Settore MAT/08 - Analisi Numerica
2006
Article (author)
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/22547
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 21
  • ???jsp.display-item.citation.isi??? 21
social impact