Publication: DeC and ADER: Similarities, Differences and a Unified Framework
DeC and ADER: Similarities, Differences and a Unified Framework
Date
Date
Date
| cris.lastimport.scopus | 2025-06-11T03:43:17Z | |
| cris.lastimport.wos | 2025-07-25T01:31:18Z | |
| dc.contributor.institution | University of Zurich | |
| dc.date.accessioned | 2021-11-09T13:34:28Z | |
| dc.date.available | 2021-11-09T13:34:28Z | |
| dc.date.issued | 2021-02 | |
| dc.description.abstract | In this paper, we demonstrate that the explicit ADER approach as it is used inter alia in Zanotti et al. (Comput Fluids 118:204–224, 2015) can be seen as a special interpretation of the deferred correction (DeC) method as introduced in Dutt et al. (BIT Numer Math 40(2):241– 266, 2000). By using this fact, we are able to embed ADER in a theoretical background of time integration schemes and prove the relation between the accuracy order and the number of iterations which are needed to reach the desired order. Next, we extend our investigation to stiff ODEs, treating these source terms implicitly. Some differences in the interpretation and implementation can be found. Using DeC yields typically a much simpler implementation, while ADER benefits from a higher accuracy, at least for our numerical simulations. Then, we also focus on the PDE case and present common space-time discretizations using DeC and ADER in closed forms. Finally, in the numerical section we investigate A-stability for the ADER approach—this is done for the first time up to our knowledge—for different order using several basis functions and compare them with the DeC ansatz. Then, we compare the performance of ADER and DeC for stiff and non-stiff ODEs and verify our analysis focusing on two basic hyperbolic problems. | |
| dc.identifier.doi | 10.1007/s10915-020-01397-5 | |
| dc.identifier.issn | 0885-7474 | |
| dc.identifier.scopus | 2-s2.0-85101007478 | |
| dc.identifier.uri | https://www.zora.uzh.ch/handle/20.500.14742/187422 | |
| dc.identifier.wos | 000620641500002 | |
| dc.language.iso | eng | |
| dc.subject.ddc | 510 Mathematics | |
| dc.title | DeC and ADER: Similarities, Differences and a Unified Framework | |
| dc.type | article | |
| dcterms.accessRights | info:eu-repo/semantics/closedAccess | |
| dcterms.bibliographicCitation.journaltitle | Journal of Scientific Computing | |
| dcterms.bibliographicCitation.number | 2 | |
| dcterms.bibliographicCitation.originalpublishername | Springer | |
| dcterms.bibliographicCitation.pagestart | 2 | |
| dcterms.bibliographicCitation.volume | 87 | |
| dspace.entity.type | Publication | en |
| uzh.contributor.affiliation | University of Michigan, Ann Arbor | |
| uzh.contributor.affiliation | Johannes Gutenberg Universität Mainz | |
| uzh.contributor.affiliation | INRIA Institut National de Recherche en Informatique et en Automatique | |
| uzh.contributor.author | Han Veiga, Maria | |
| uzh.contributor.author | Öffner, Philipp | |
| uzh.contributor.author | Torlo, Davide | |
| uzh.contributor.correspondence | Yes | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.document.availability | no_document | |
| uzh.eprint.datestamp | 2021-11-09 13:34:28 | |
| uzh.eprint.lastmod | 2025-07-25 01:37:05 | |
| uzh.eprint.statusChange | 2021-11-09 13:34:28 | |
| uzh.funder.name | UZH | |
| uzh.funder.name | SNSF | |
| uzh.funder.name | H2020 | |
| uzh.funder.name | University of Michigan, Ann Arbour | |
| uzh.funder.projectNumber | Number FK-19-104 | |
| uzh.funder.projectNumber | 200020_175784 | |
| uzh.funder.projectNumber | 642768 | |
| uzh.funder.projectNumber | MIDAS | |
| uzh.funder.projectTitle | UZH Postdoc Grant (Number FK-19-104) | |
| uzh.funder.projectTitle | Solving advection dominated problems with high order schemes with polygonal meshes: application to compressible and incompressible flow problems | |
| uzh.funder.projectTitle | Modelling and Computation of Shocks and Interfaces | |
| uzh.harvester.eth | No | |
| uzh.harvester.nb | No | |
| uzh.jdb.eprintsId | 33389 | |
| uzh.oastatus.zora | Closed | |
| uzh.publication.citation | Han Veiga, Maria; Öffner, Philipp; Torlo, Davide (2021). DeC and ADER: Similarities, Differences and a Unified Framework. Journal of Scientific Computing, 87(2):2. | |
| uzh.publication.originalwork | original | |
| uzh.publication.publishedStatus | final | |
| uzh.scopus.impact | 24 | |
| uzh.scopus.subjects | Software | |
| uzh.scopus.subjects | Theoretical Computer Science | |
| uzh.scopus.subjects | Numerical Analysis | |
| uzh.scopus.subjects | General Engineering | |
| uzh.scopus.subjects | Computational Theory and Mathematics | |
| uzh.scopus.subjects | Computational Mathematics | |
| uzh.scopus.subjects | Applied Mathematics | |
| uzh.workflow.doaj | uzh.workflow.doaj.false | |
| uzh.workflow.eprintid | 208511 | |
| uzh.workflow.fulltextStatus | none | |
| uzh.workflow.revisions | 46 | |
| uzh.workflow.rightsCheck | keininfo | |
| uzh.workflow.status | archive | |
| uzh.wos.impact | 22 | |
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