On a posteriori error estimation for Runge–Kutta discontinuous Galerkin methods for linear hyperbolic problems

Abstract A posteriori bounds for the error measured in various norms for a standard second‐order explicit‐in‐time Runge–Kutta discontinuous Galerkin (RKDG) discretization of a one‐dimensional (in space) linear transport problem are derived. The proof is based on a novel space‐time polynomial reconstruction, hinging on high‐order temporal reconstructions for continuous and discontinuous Galerkin time‐stepping methods. Of particular interest is the question of error estimation under dynamic mesh modification. The theoretical findings are tested by numerical experiments.

Authors

Institutions

Publication Details

Journal
Studies in Applied Mathematics
Published
2024-10-11
DOI
https://doi.org/10.1111/sapm.12772
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On a posteriori error estimation for Runge–Kutta discontinuous Galerkin methods for linear hyperbolic problems

Emmanuil H. Georgoulis, Charalambos Makridakis, Edward J. C. Hall
Studies in Applied Mathematics
Advanced Numerical Methods in Computational Mathematics
article

On a posteriori error estimation for Runge–Kutta discontinuous Galerkin methods for linear hyperbolic problems

Emmanuil H. Georgoulis, Charalambos Makridakis, Edward J. C. Hall
article en

Abstract

Abstract A posteriori bounds for the error measured in various norms for a standard second‐order explicit‐in‐time Runge–Kutta discontinuous Galerkin (RKDG) discretization of a one‐dimensional (in space) linear transport problem are derived. The proof is based on a novel space‐time polynomial reconstruction, hinging on high‐order temporal reconstructions for continuous and discontinuous Galerkin time‐stepping methods. Of particular interest is the question of error estimation under dynamic mesh modification. The theoretical findings are tested by numerical experiments.

Studies in Applied MathematicsVol. 153(4)
University of Nottingham (GB), University of Crete (GR), University of Sussex (GB), National Technical University of Athens (GR), Heriot-Watt University (GB), Maxwell Institute for Mathematical Sciences (GB), FORTH Institute of Applied and Computational Mathematics (GR)
Leverhulme Trust, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 81%
Advanced Numerical Methods in Computational Mathematics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.