2019
DOI: 10.1002/fld.4793
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A stabilized mixed method applied to Stokes system with nonhomogeneous source terms: The stationary case Dedicated to Prof. R. Rodríguez, on the occasion of his 65th birthday

Abstract: This article is concerned with the Stokes system with nonhomogeneous source terms and nonhomogeneous Dirichlet boundary condition. First, we reformulate the problem in its dual mixed form, and then, we study its corresponding well-posedness. Next, in order to circumvent the well-known Babuška-Brezzi condition, we analyze a stabilized formulation of the resulting approach. Additionally, we endow the scheme with an a posteriori error estimator that is reliable and efficient. Finally, we provide numerical experim… Show more

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Cited by 4 publications
(2 citation statements)
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“…There, a posteriori error estimator with seven terms per element is deduced, less than the thirteen terms needed in the local a posteriori error estimator previously obtained in [6], for the same finite element spaces. Additionally, this kind of a posteriori error estimator, at least, have been developed satisfactorily in different directions, for example, the Poisson problem is studied in [15], Darcy flow in [12] and [13], the Stokes system in [5] and [10], the Brinkman model in [11], linear elasticity in [7,8] and the Oseen equations in [14].…”
Section: Introductionmentioning
confidence: 99%
“…There, a posteriori error estimator with seven terms per element is deduced, less than the thirteen terms needed in the local a posteriori error estimator previously obtained in [6], for the same finite element spaces. Additionally, this kind of a posteriori error estimator, at least, have been developed satisfactorily in different directions, for example, the Poisson problem is studied in [15], Darcy flow in [12] and [13], the Stokes system in [5] and [10], the Brinkman model in [11], linear elasticity in [7,8] and the Oseen equations in [14].…”
Section: Introductionmentioning
confidence: 99%
“…This is performed with the help of the Ritz projection of the error, and covers the reliability and efficiency of the estimator. It is important to remark that this technique has been successfully applied to other problems, such as the the Brinkman model in [2], the Darcy flow in [6] and [7], the Stokes system in [3] and [5], and the Oseen equations in [8], for example.…”
Section: Introductionmentioning
confidence: 99%