Minimum-residual a posteriori error estimates for HDG discretizations of the Helmholtz equation

Camargo L.; Rojasb, S; Vega P.

Keywords: adaptive mesh refinement, a posteriori error analysis, superconvergence, hybridizable discontinuous Galerkin method, residual minimization, postprocessing

Abstract

We propose and analyze two a posteriori error indicators for hybridizable discontinuous Galerkin (HDG) discretizations of the Helmholtz equation. These indicators are built to minimize the residual associated with a local superconvergent postprocessing scheme for the primal variable, measured in a dual norm of an enlarged discrete test space. The residual minimization is reformulated into equivalent local saddle-point problems, yielding a superconvergent postprocessed approximation of the primal variable in the asymptotic regime for sufficiently regular exact solutions and a built-in residual representation with minimal computational effort. Both error indicators are based on frequency-dependent postprocessing schemes and verify reliability and efficiency estimates for a frequency-weighted H1-error for the scalar unknown and the L2-error for the flux. We illustrate our theoretical findings through ad-hoc numerical experiments. © 2025 Elsevier B.V.

Más información

Título según WOS: Minimum-residual a posteriori error estimates for HDG discretizations of the Helmholtz equation
Título según SCOPUS: Minimum-residual a posteriori error estimates for HDG discretizations of the Helmholtz equation
Título de la Revista: Computer Methods in Applied Mechanics and Engineering
Volumen: 441
Editorial: Elsevier B.V.
Fecha de publicación: 2025
Idioma: English
DOI:

10.1016/j.cma.2025.117981

Notas: ISI, SCOPUS