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Adaptive computation of parameters in stabilized methods for convection-diffusion problems

Publication at Faculty of Mathematics and Physics |
2013

Abstract

Stabilized finite element methods for convection-dominated problems contain parameters whose optimal choice is usually not known. This paper presents techniques for computing stabilization parameters in an adaptive way by minimizing a target functional characterizing the quality of the approximate solution.

This leads to a constrained nonlinear optimization problem. Numerical results obtained for various target functionals are presented.

They demonstrate that a posteriori optimization of parameters can significantly improve the quality of solutions obtained using stabilized methods.