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https://doi.org/10.21256/zhaw-29622
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Samrowski, Tatiana | - |
dc.date.accessioned | 2024-01-19T08:12:36Z | - |
dc.date.available | 2024-01-19T08:12:36Z | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 1609-4840 | de_CH |
dc.identifier.issn | 1609-9389 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/29622 | - |
dc.description | Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch) | de_CH |
dc.description.abstract | We consider the stationary reaction-diffusion problem in a domain Ω⊂ℝ3 having the size along one coordinate direction essentially smaller than along the others. By an energy type argumentation, different simplified models of lower dimension can be deduced and solved numerically. For these models, we derive a guaranteed upper bound of the difference between the exact solution of the original problem and a three-dimensional reconstruction generated by the solution of a dimensionally reduced problem. This estimate of the total error is determined as the sum of discretization and modeling errors, which are both explicit and computable. The corresponding discretization errors are estimated by a posteriori estimates of the functional type. Modeling error majorants are also explicitly evaluated. Hence, a numerical strategy based on the balancing modeling and discretization errors can be derived in order to provide an economical way of getting an approximate solution with an a priori given accuracy. Numerical tests are presented and discussed. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | De Gruyter | de_CH |
dc.relation.ispartof | Computational Methods in Applied Mathematics | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject | Modeling error | de_CH |
dc.subject | Dimension reduction | de_CH |
dc.subject | Thin domain | de_CH |
dc.subject | A posteriori error estimate | de_CH |
dc.subject.ddc | 510: Mathematik | de_CH |
dc.title | Combined error estimates in the case of dimension reduction | de_CH |
dc.type | Beitrag in wissenschaftlicher Zeitschrift | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Institut für Angewandte Mathematik und Physik (IAMP) | de_CH |
dc.identifier.doi | 10.1515/cmam-2013-0024 | de_CH |
dc.identifier.doi | 10.21256/zhaw-29622 | - |
zhaw.funding.eu | No | de_CH |
zhaw.issue | 1 | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 134 | de_CH |
zhaw.pages.start | 113 | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.volume | 14 | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.author.additional | No | de_CH |
zhaw.display.portrait | Yes | de_CH |
Appears in collections: | Publikationen School of Engineering |
Files in This Item:
File | Description | Size | Format | |
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2014_Samrowski_Combined-error-estimates-dimension-reduction.pdf | 394.48 kB | Adobe PDF | View/Open |
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Samrowski, T. (2014). Combined error estimates in the case of dimension reduction. Computational Methods in Applied Mathematics, 14(1), 113–134. https://doi.org/10.1515/cmam-2013-0024
Samrowski, T. (2014) ‘Combined error estimates in the case of dimension reduction’, Computational Methods in Applied Mathematics, 14(1), pp. 113–134. Available at: https://doi.org/10.1515/cmam-2013-0024.
T. Samrowski, “Combined error estimates in the case of dimension reduction,” Computational Methods in Applied Mathematics, vol. 14, no. 1, pp. 113–134, 2014, doi: 10.1515/cmam-2013-0024.
SAMROWSKI, Tatiana, 2014. Combined error estimates in the case of dimension reduction. Computational Methods in Applied Mathematics. 2014. Bd. 14, Nr. 1, S. 113–134. DOI 10.1515/cmam-2013-0024
Samrowski, Tatiana. 2014. “Combined Error Estimates in the Case of Dimension Reduction.” Computational Methods in Applied Mathematics 14 (1): 113–34. https://doi.org/10.1515/cmam-2013-0024.
Samrowski, Tatiana. “Combined Error Estimates in the Case of Dimension Reduction.” Computational Methods in Applied Mathematics, vol. 14, no. 1, 2014, pp. 113–34, https://doi.org/10.1515/cmam-2013-0024.
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