Adjoint recovery of superconvergent linear functionals from Galerkin approximations. The one-dimensional case

Bernardo Cockburn, Ryuhei Ichikawa

Research output: Contribution to journalArticlepeer-review

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Abstract

In this paper, we extend the adjoint error correction of Pierce and Giles (SIAM Rev. 42, 247-264 (2000)) for obtaining superconvergent approximations of functionals to Galerkin methods. We illustrate the technique in the framework of discontinuous Galerkin methods for ordinary differential and convection-diffusion equations in one space dimension. It is well known that approximations to linear functionals obtained by discontinuous Galerkin methods with polynomials of degree k can be proven to converge with order 2k + 1 and 2k for ordinary differential and convection-diffusion equations, respectively. In contrast, the order of convergence of the adjoint error correction method can be proven to be 4k + 1 and 4k, respectively. Since both approaches have a computational complexity of the same order, the adjoint error correction method is clearly a competitive alternative. Numerical results which confirm the theoretical predictions are presented.

Original languageEnglish (US)
Pages (from-to)201-232
Number of pages32
JournalJournal of Scientific Computing
Volume32
Issue number2
DOIs
StatePublished - Aug 2007

Bibliographical note

Funding Information:
This research was supported in part by NSF Grant DMS-0411254 and by the University of Minnesota Super-computing Institute.

Keywords

  • Discontinuous Galerkin methods
  • Post-processing
  • Superconvergence

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