Abstract
We deal with a posteriori error control of discontinuous Galerkin approximations for linear boundary value problems. The computational error is estimated in the framework of the Dual Weighted Residual method (DWR) for goal-oriented error estimation which requires to solve an additional (adjoint) problem. We focus on the control of the algebraic errors arising from iterative solutions of algebraic systems corresponding to both the primal and adjoint problems. Moreover, we present two different reconstruction techniques allowing an efficient evaluation of the error estimators. Finally, we propose a complex algorithm which controls discretization and algebraic errors and drives the adaptation of the mesh in the close to optimal manner with respect to the given quantity of interest.
Similar content being viewed by others
References
M. Ainsworth, R. Rankin: Guaranteed computable bounds on quantities of interest in finite element computations. Int. J. Numer. Methods Eng. 89 (2012), 1605–1634.
M. Arioli, J. Liesen, A. Międlar, Z. Strakoš: Interplay between discretization and algebraic computation in adaptive numerical solution of elliptic PDE problems. GAMMMitt. 36 (2013), 102–129.
I. Babuška, W. C. Rheinboldt: Error estimates for adaptive finite element computations. SIAM J. Numer. Anal. 15 (1978), 736–754.
W. Bangerth, R. Rannacher: Adaptive Finite Element Methods for Differential Equations. Lectures in Mathematics, ETH Zürich, Birkhäuser, Basel, 2003.
R. E. Bank, A. Weiser: Some a posteriori error estimators for elliptic partial differential equations. Math. Comput. 44 (1985), 283–301.
R. Becker, R. Rannacher: An optimal control approach to a posteriori error estimation in finite element methods. Acta Numerica 10 (2001), 1–102.
V. Dolejší: ANGENER—software package. Charles University Prague, Faculty of Mathematics and Physics, www.karlin.mff.cuni.cz/~dolejsi/angen/angen.htm (2000).
V. Dolejší: hp-DGFEM for nonlinear convection-diffusion problems. Math. Comput. Simul. 87 (2013), 87–118.
V. Dolejší, M. Feistauer: Discontinuous Galerkin Method. Analysis and Applications to Compressible Flow. Springer Series in Computational Mathematics 48, Springer, Cham, 2015.
V. Dolejší, G. May, F. Roskovec, P. Šolín: Anisotropic hp-mesh optimization technique based on the continuous mesh and error models. Comput. Math. Appl. 74 (2017), 45–63.
V. Dolejší, F. Roskovec: Goal oriented a posteriori error estimates for the discontinuos Galerkin method. Programs and Algorithms of Numerical Mathematics 18, Proceedings of Seminar, Janov nad Nisou 2016 (J. Chleboun et al., eds.). Institute of Mathematics CAS, Praha, 2017, pp. 15–23.
V. Dolejší, P. Šolín: hp-discontinuous Galerkin method based on local higher order reconstruction. Appl. Math. Comput. 279 (2016), 219–235.
M. Giles, E. Süli: Adjoint methods for PDEs: a posteriori error analysis and postprocessing by duality. Acta Numerica 11 (2002), 145–236.
A. Greenbaum, V. Pták, Z. Strakoš: Any nonincreasing convergence curve is possible for GMRES. SIAM J. Matrix Anal. Appl. 17 (1996), 465–469.
K. Harriman, D. Gavaghan, E. Süli: The importance of adjoint consistency in the approximation of linear functionals using the discontinuous Galerkin finite element method. Technical Report, Oxford University Computing Laboratory, Oxford (2004).
K. Harriman, P. Houston, B. Senior, E. Süli: hp-version discontinuous Galerkin methods with interior penalty for partial differential equations with nonnegative characteristic form. Recent Advances in Scientific Computing and Partial Differential Equations, Hong Kong 2002 (S. Y. Cheng et al., eds.). Contemp. Math. 330, American Mathematical Society, Providence, 2003, pp. 89–119.
R. Hartmann: Adjoint consistency analysis of discontinuous Galerkin discretizations. SIAM J. Numer. Anal. 45 (2007), 2671–2696.
R. Hartmann, P. Houston: Symmetric interior penalty DG methods for the compressible Navier-Stokes equations. II. Goal-oriented a posteriori error estimation. Int. J. Numer. Anal. Model. 3 (2006), 141–162.
P. Houston, C. Schwab, E. Süli: Discontinuous hp-finite element methods for advection- diffusion-reaction problems. SIAM J. Numer. Anal. 39 (2002), 2133–2163.
H. T. Huynh: A reconstruction approach to high-order schemes including discontinuous Galerkin for diffusion. 18th AIAA Computational Fluid Dynamics Conference, Miami, Florida, 2007.
D. Meidner, R. Rannacher, J. Vihharev: Goal-oriented error control of the iterative solution of finite element equations. J. Numer. Anal. 17 (2009), 143–172.
R. H. Nochetto, A. Veeser, M. Verani: A safeguarded dual weighted residual method. IMA J. Numer. Anal. 29 (2009), 126–140.
R. Rannacher, J. Vihharev: Adaptive finite element analysis of nonlinear problems: balancing of discretization and iteration errors. J. Numer. Math. 21 (2013), 23–62.
T. Richter, T. Wick: Variational localizations of the dual weighted residual estimator. J. Comput. Appl. Math. 279 (2015), 192–208.
P. Šolín, L. Demkowicz: Goal-oriented hp-adaptivity for elliptic problems. Comput. Methods Appl. Mech. Eng. 193 (2004), 449–468.
E. Süli, P. Houston, C. Schwab: hp-DGFEM for partial differential equations with nonnegative characteristic form. Discontinuous Galerkin Methods. Theory, Computation and Applications, Newport 1999 (B. Cockburn et al., eds.). Lect. Notes Comput. Sci. Eng. 11, Springer, Berlin, 2000, pp. 221–230.
Author information
Authors and Affiliations
Corresponding author
Additional information
Dedicated to Professor Miloslav Feistauer on the occasion of his 75th birthday
The research of V.Dolejší was supported by Grant No. 17-01747S of the Czech Science Foundation. The research of F.Roskovec was supported by the Charles University, project GA UK No. 92315.
Rights and permissions
About this article
Cite this article
Dolejší, V., Roskovec, F. Goal-oriented error estimates including algebraic errors in discontinuous Galerkin discretizations of linear boundary value problems. Appl Math 62, 579–605 (2017). https://doi.org/10.21136/AM.2017.0173-17
Received:
Published:
Issue Date:
DOI: https://doi.org/10.21136/AM.2017.0173-17