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Convergence of goal‐oriented adaptive finite element methods for nonsymmetric problems
Authors:Michael Holst  Sara Pollock
Institution:1. Department of Mathematics, University of California, San Diego, California;2. Department of Mathematics, Texas A&M University, College Station, Texas
Abstract:In this article, we develop convergence theory for a class of goal‐oriented adaptive finite element algorithms for second‐order nonsymmetric linear elliptic equations. In particular, we establish contraction results for a method of this type for Dirichlet problems involving the elliptic operator urn:x-wiley:0749159X:media:num22002:num22002-math-0001 with A Lipschitz, symmetric positive definite, with b divergence‐free, and with urn:x-wiley:0749159X:media:num22002:num22002-math-0002. We first describe the problem class and review some standard facts concerning conforming finite element discretization and error‐estimate‐driven adaptive finite element methods (AFEM). We then describe a goal‐oriented variation of standard AFEM. Following the recent work of Mommer and Stevenson for symmetric problems, we establish contraction and convergence of the goal‐oriented method in the sense of the goal function. Our analysis approach is signficantly different from that of Mommer and Stevenson, combining the recent contraction frameworks developed by Cascon, Kreuzer, Nochetto, and Siebert; by Nochetto, Siebert, and Veeser; and by Holst, Tsogtgerel, and Zhu. We include numerical results, demonstrating performance of our method with standard goal‐oriented strategies on a convection problem. © 2015 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 32: 479–509, 2016
Keywords:adaptive methods  a posteriori estimates  approximation theory  a priori estimates  contraction  convergence  duality  elliptic equations  goal oriented  nonsymmetric problems  optimality  quasi‐orthogonality  residual‐based error estimator
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