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