Preprint 2020-27
Tomás Barrios, Edwin Behrens, Rommel Bustinza:
An a posteriori error estimate for a dual mixed method applied to Stokes system with non null source terms
Abstract:
In this manuscript, we focus our attention in the Stokes flow with non homogeneous source terms, formulated in dual mixed form. For the sake of completeness, we begin recalling the corresponding well-posedness at continuous and discrete levels. After that, and with the help of a quasi Helmholtz decomposition technique, we develop a residual type a posteriori error analysis, deducing an estimator that is reliable and locally efficient. Finally, we provide numerical experiments, which confirm our theoretical results on the a posteriori error estimator and illustrate the performance of the corresponding adaptive algorithm, supporting its use in practice.
This preprint gave rise to the following definitive publication(s):
Tomás BARRIOS, Edwin BEHRENS, Rommel BUSTINZA: An a posteriori error estimate for a dual mixed method applied to Stokes system with non null source terms. Advances in Computational Mathematics, vol. 47, 5, Paper no. 77 (2021).