We present a hierarchical a posteriori error analysis for the minimum value of the energy functional in symmetric obstacle problems. The main result is that the error in the energy minimum is, up to oscillation terms, equivalent to an appropriate hierarchical estimator. The proof does not invoke any saturation assumption. We even show that small oscillation implies a related saturation assumption. In addition, we prove efficiency and reliability of an a posteriori estimate of the discretization error and thereby cast some light on the theoretical understanding of previous hierarchical estimators. Finally, we illustrate our theoretical results by numerical computations
We consider finite element approximation of the parabolic obstacle problem. The analysis is based on...
In this paper, we present an a posteriori error analysis for the finite element approximation of a v...
With the help of duality techniques from the calculus of variations an a posteriori error estimator ...
We present a hierarchical a posteriori error analysis for the minimum value of the energy functional...
Abstract. We present a hierarchical a posteriori error analysis for the min-imum value of the energy...
We present and analyze novel hierarchical a posteriori error estimates for self-adjoint elliptic obs...
We derive hierarchical a posteriori error estimates for elliptic variational inequalities. The evalu...
A posteriori error estimators are derived for linear finite element approximations to elliptic obsta...
For obstacle problems of higher order involving power growth functionals we prove a posteriori error...
summary:We verify functional a posteriori error estimates proposed by S. Repin for a class of obstac...
In this paper we develop function-based a posteriori error estimators for the solution of linear sec...
summary:The paper is devoted to the problem of verification of accuracy of approximate solutions obt...
The authors consider the discretization of obstacle problems for second-order elliptic differential ...
AbstractWe derive quantitative a posteriori estimates for the error caused by replacing an obstacle ...
We consider an adaptive finite element method (AFEM) for obstacle problems associated with linear se...
We consider finite element approximation of the parabolic obstacle problem. The analysis is based on...
In this paper, we present an a posteriori error analysis for the finite element approximation of a v...
With the help of duality techniques from the calculus of variations an a posteriori error estimator ...
We present a hierarchical a posteriori error analysis for the minimum value of the energy functional...
Abstract. We present a hierarchical a posteriori error analysis for the min-imum value of the energy...
We present and analyze novel hierarchical a posteriori error estimates for self-adjoint elliptic obs...
We derive hierarchical a posteriori error estimates for elliptic variational inequalities. The evalu...
A posteriori error estimators are derived for linear finite element approximations to elliptic obsta...
For obstacle problems of higher order involving power growth functionals we prove a posteriori error...
summary:We verify functional a posteriori error estimates proposed by S. Repin for a class of obstac...
In this paper we develop function-based a posteriori error estimators for the solution of linear sec...
summary:The paper is devoted to the problem of verification of accuracy of approximate solutions obt...
The authors consider the discretization of obstacle problems for second-order elliptic differential ...
AbstractWe derive quantitative a posteriori estimates for the error caused by replacing an obstacle ...
We consider an adaptive finite element method (AFEM) for obstacle problems associated with linear se...
We consider finite element approximation of the parabolic obstacle problem. The analysis is based on...
In this paper, we present an a posteriori error analysis for the finite element approximation of a v...
With the help of duality techniques from the calculus of variations an a posteriori error estimator ...