Superconvergent Interpolatory HDG Methods for Reaction Diffusion Equations I: An HDG k Method

Gang Chen, Bernardo Cockburn, John Singler, Yangwen Zhang

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8 Scopus citations


In our earlier work (Cockburn et al. in J Sci Comput 79(3):1777–1800, 2019), we approximated solutions of a general class of scalar parabolic semilinear PDEs by an interpolatory hybridizable discontinuous Galerkin (interpolatory HDG) method. This method reduces the computational cost compared to standard HDG since the HDG matrices are assembled once before the time integration. Interpolatory HDG also achieves optimal convergence rates; however, we did not observe superconvergence after an element-by-element postprocessing. In this work, we revisit the Interpolatory HDG method for reaction diffusion problems, and use the postprocessed approximate solution to evaluate the nonlinear term. We prove this simple change restores the superconvergence and keeps the computational advantages of the Interpolatory HDG method. We present numerical results to illustrate the convergence theory and the performance of the method.

Original languageEnglish (US)
Pages (from-to)2188-2212
Number of pages25
JournalJournal of Scientific Computing
Issue number3
StatePublished - Dec 1 2019

Bibliographical note

Funding Information:
G. Chen is supported by National natural science Foundation of China (NSFC) under Grant Number 11801063 and China Postdoctoral Science Foundation under Grant Number 2018M633339. The research of Y. Zhang is partially supported by the US National Science Foundation (NSF) under Grant Number DMS-1619904.

Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.


  • Error analysis
  • Interpolatory hybridizable discontinuous Galerkin method
  • Nonlinear reaction diffusion
  • Superconvergence


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