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Stabilization techniques and a posteriori error estimates for the obstacle problem
Author(s) -
Dirk Biermann,
Ivan Iovkov,
Heribert Blum,
Andreas Rademacher,
Nicole Klein,
F. T. Suttmeier
Publication year - 2013
Publication title -
applied mathematical sciences
Language(s) - English
Resource type - Journals
eISSN - 1314-7552
pISSN - 1312-885X
DOI - 10.12988/ams.2013.39504
Subject(s) - a priori and a posteriori , obstacle , computer science , obstacle problem , mathematical optimization , mathematics , algorithm , variational inequality , political science , philosophy , epistemology , law
This work deals with a posteriori error estimates for the obstacle problem. Deriving an estimator on the basis of the variational inequality with respect to the primal variable, an inconsistent one is obtained. To achieve consistency, this problem is treated by a Lagrange formalism, which transfers the variational inequality into a saddle point problem. Different techniques to ensure the stability of the discretization and to solve the discrete problems by iterative solvers are studied and compared. Numerical tests confirm our results of consistent a posteriori error estimation.

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