Publication Cover
Applicable Analysis
An International Journal
Volume 96, 2017 - Issue 3
221
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Error estimates for space–time discontinuous Galerkin formulation based on proper orthogonal decomposition

Pages 461-482 | Received 11 Mar 2015, Accepted 15 Jan 2016, Published online: 06 Feb 2016

References

  • Volker J, Novo J. Error analysis of the SUPG finite element discretization of evolutionary convection--diffusion--reaction equations. SIAM J. Numer. Anal. 2011;49:1149–1176.
  • Feistauer M, Švadlenka K. Discontinuous Galerkin method of lines for solving nonstationary singularly perturbed linear problems. J. Numer. Math. 2004;12:97–117.
  • Dolejší V, Feistauer M, Kučera V, et al. An optimal L∞(L2) -error estimate for the discontinuous Galerkin approximation of a nonlinear non-stationary convection-diffusion problem. IMA J. Numer. Anal. 2008;28:496–521. doi:10.1093/imanum/drm023.
  • Vlasák M, Dolejší V, Hájek J. A priori error estimates of an extrapolated space-time discontinuous Galerkin method for nonlinear convection-diffusion problems. Numer. Methods Partial Differ. Equ. 2011;27:1456–1482.
  • Dolejší V, Feistauer M. Error estimates of the discontinuous Galerkin method for nonlinear nonstationary convection-diffusion problems. Numer. Funct. Anal. Optim. 2005;26:349–383.
  • Eriksson K, Johnson C. Adaptive finite element methods for parabolic problems. II. Optimal error estimates in L∞L2 and L∞L∞. SIAM J. Numer. Anal. 1995;32:706–740.
  • Thomée V. Galerkin finite element methods for parabolic problems. 2nd ed. Vol. 25, Springer series in computational mathematics. Berlin: Springer-Verlag; 2006.
  • Kunisch K, Volkwein S. Galerkin proper orthogonal decomposition methods for parabolic problems. Numer. Math. 2001;90:117–148.
  • Volkwein S. Proper orthogonal decomposition: applications in optimization and control. Lecture notes. CEA-EDF-INRIA summer school numerical analysis summer school model reduction and reduced basis methods: application in optimization. Saint-Lambert-des-Bois, France, 2008 June 23--July 4. p. 74. Available from: http://www.math.uni-konstanz.de/numerik/personen/volkwein/teaching/Lecture-Notes-Volkwein.pdf.
  • Singer MA, Green WH. Using adaptive proper orthogonal decomposition to solve the reaction--diffusion equation. Appl. Numer. Math. 2009;59:272–279.
  • Iliescu T, Wang Z. Variational multiscale proper orthogonal decomposition: convection-dominated convection--diffusion--reaction equations. Math. Comput. 2013;82:1357–1378. doi:10.1090/S0025-5718-2013-02683-X.
  • Giere S, Iliescu T, John V, et al. SUPG reduced order models for convection-dominated convection--diffusion--reaction equations. Comput. Methods Appl. Mech. Eng. 2015;289:454–474.
  • Arnold D, Brezzi F, Cockburn B, et al. Unified analysis of discontinuous Galerkin methods for elliptic problems. SIAM J. Numer. Anal. 2001/02;39:1749–1779.
  • Ayuso B, Marini LD. Discontinuous Galerkin methods for advection--diffusion--reaction problems. SIAM J. Numer. Anal. 2009;47:1391–1420.
  • Rivière B. Discontinuous Galerkin methods for solving elliptic and parabolic equations. Vol. 35, Frontiers in applied mathematics. Theory and implementation. Philadelphia (PA): Society for Industrial and Applied Mathematics (SIAM); 2008.
  • Holmes P, Lumley JL, Berkooz G. Turbulence, coherent structures, dynamical systems and symmetry. Cambridge monographs on mechanics. Cambridge: Cambridge University Press; 1996.
  • Chrysafinos K, Walkington NJ. Error estimates for the discontinuous Galerkin methods for parabolic equations. SIAM J. Numer. Anal. 2006;44:349–366. electronic.
  • Akman T, Karasözen B. Variational time discretization methods for optimal control problems governed by diffusion-convection-reaction equations. J. Comput. Appl. Math. 2014;272:41–56.
  • Dolejší V, Feistauer M, Schwab C. A finite volume discontinuous Galerkin scheme for nonlinear convection--diffusion problems. Calcolo. 2002;39:1–40.
  • Singler JR. New POD error expressions, error bounds, and asymptotic results for reduced order models of parabolic PDEs. SIAM J. Numer. Anal. 2014;52:852–876.
  • Iliescu T, Wang Z. Variational multiscale proper orthogonal decomposition: Navier--Stokes equations. Numer. Methods Partial Differ. Equ. 2014;30:641–663. doi:10.1002/num.21835.
  • Kostova T, Oxberry G, Chand K, et al. Error bounds and analysis of proper orthogonal decomposition model reduction methods using snapshots from the solution and the time derivatives. 2015. arXiv preprint arXiv:150102004.
  • Iliescu T, Wang Z. Are the snapshot difference quotients needed in the proper orthogonal decomposition? SIAM J. Sci. Comput. 2014;36:A1221–A1250. doi:10.1137/130925141.
  • Ciarlet PG. The finite element method for elliptic problems. Amsterdam: North-Holland; 1978.
  • Nouy A. A priori model reduction through proper generalized decomposition for solving time-dependent partial differential equations. Comput. Methods Appl. Mech. Eng. 2010;199:1603–1626.
  • Borggaard J, Iliescu T, Wang Z. Artificial viscosity proper orthogonal decomposition. Math. Comput. Model. 2011;53:269–279. doi:10.1016/j.mcm.2010.08.015.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.