TU Darmstadt / ULB / TUbiblio

Error control for statistical solutions

Giesselmann, Jan ; Meyer, Fabian ; Rohde, Christian (2019)
Error control for statistical solutions.
doi: 10.48550/arXiv.1912.04323
Report, Bibliographie

Kurzbeschreibung (Abstract)

Statistical solutions have recently been introduced as a an alternative solution framework for hyperbolic systems of conservation laws. In this work we derive a novel a posteriori error estimate in the Wasserstein distance between dissipative statistical solutions and numerical approximations, which rely on so-called regularized empirical measures. The error estimator can be split into deterministic parts which correspond to spatio-temporal approximation errors and a stochastic part which reflects the stochastic error. We provide numerical experiments which examine the scaling properties of the residuals and verify their splitting.

Typ des Eintrags: Report
Erschienen: 2019
Autor(en): Giesselmann, Jan ; Meyer, Fabian ; Rohde, Christian
Art des Eintrags: Bibliographie
Titel: Error control for statistical solutions
Sprache: Englisch
Publikationsjahr: 9 Dezember 2019
Verlag: arXiv
Reihe: Numerical Analysis
Kollation: 25 Seiten
DOI: 10.48550/arXiv.1912.04323
URL / URN: https://arxiv.org/abs/1912.04323
Zugehörige Links:
Kurzbeschreibung (Abstract):

Statistical solutions have recently been introduced as a an alternative solution framework for hyperbolic systems of conservation laws. In this work we derive a novel a posteriori error estimate in the Wasserstein distance between dissipative statistical solutions and numerical approximations, which rely on so-called regularized empirical measures. The error estimator can be split into deterministic parts which correspond to spatio-temporal approximation errors and a stochastic part which reflects the stochastic error. We provide numerical experiments which examine the scaling properties of the residuals and verify their splitting.

Zusätzliche Informationen:

1. Version

Fachbereich(e)/-gebiet(e): 04 Fachbereich Mathematik
04 Fachbereich Mathematik > Numerik und wissenschaftliches Rechnen
Hinterlegungsdatum: 24 Apr 2020 08:45
Letzte Änderung: 19 Dez 2024 09:07
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen