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A Posteriori Error Estimation for a PDE-Constrained Optimization Problem Involving the Generalized Oseen Equations
Author(s) -
Alejandro Allendes,
Enrique Otárola,
Richard Rankin
Publication year - 2018
Publication title -
siam journal on scientific computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.674
H-Index - 147
eISSN - 1095-7197
pISSN - 1064-8275
DOI - 10.1137/17m1139631
Subject(s) - mathematics , estimator , a priori and a posteriori , finite element method , norm (philosophy) , quadratic equation , mathematical optimization , optimal control , upper and lower bounds , mathematical analysis , philosophy , statistics , physics , geometry , epistemology , political science , law , thermodynamics
We derive globally reliable a posteriori error estimators for a linear-quadratic optimal control problem involving the generalized Oseen equations as state equations; control constraints are also considered. The corresponding local error indicators are locally efficient. The assumptions under which we perform the analysis are such that they can be satisfied for a wide variety of stabilized finite element methods as well as for standard finite element methods. When stabilized methods are considered, no a priori relation between the stabilization terms for the state and adjoint equations is required. If a lower bound for the inf-sup constant is available, a posteriori error estimators that are fully computable and provide guaranteed upper bounds on the norm of the error can be obtained. We illustrate the theory with numerical examples.

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