dc.contributor.author | Mali, Olli | |
dc.date.accessioned | 2017-01-12T12:33:50Z | |
dc.date.available | 2017-11-23T22:45:09Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Mali, O. (2017). Error Estimates for a Class of Elliptic Optimal Control Problems. <i>Numerical Functional Analysis and Optimization</i>, <i>38</i>(1), 58-79. <a href="https://doi.org/10.1080/01630563.2016.1217881" target="_blank">https://doi.org/10.1080/01630563.2016.1217881</a> | |
dc.identifier.other | CONVID_26335570 | |
dc.identifier.other | TUTKAID_71827 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/52715 | |
dc.description.abstract | In this article, functional type a posteriori error estimates are presented for a certain class of optimal control problems with elliptic partial differential equation constraints. It is assumed that in the cost functional the state is measured in terms of the energy norm generated by the state equation. The functional a posteriori error estimates developed by Repin in the late 1990s are applied to estimate the cost function value from both sides without requiring the exact solution of the state equation. Moreover, a lower bound for the minimal cost functional value is derived. A meaningful error quantity coinciding with the gap between the cost functional values of an arbitrary admissible control and the optimal control is introduced. This error quantity can be estimated from both sides using the estimates for the cost functional value. The theoretical results are confirmed by numerical tests. | |
dc.language.iso | eng | |
dc.publisher | Taylor & Francis Inc. | |
dc.relation.ispartofseries | Numerical Functional Analysis and Optimization | |
dc.subject.other | error estimates | |
dc.subject.other | elliptic optimal control problems | |
dc.title | Error Estimates for a Class of Elliptic Optimal Control Problems | |
dc.type | article | |
dc.identifier.urn | URN:NBN:fi:jyu-201701091102 | |
dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
dc.contributor.laitos | Faculty of Information Technology | en |
dc.contributor.oppiaine | Tietotekniikka | fi |
dc.contributor.oppiaine | Mathematical Information Technology | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
dc.date.updated | 2017-01-09T16:15:13Z | |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 58-79 | |
dc.relation.issn | 0163-0563 | |
dc.relation.numberinseries | 1 | |
dc.relation.volume | 38 | |
dc.type.version | acceptedVersion | |
dc.rights.copyright | © 2017 Taylor & Francis. This is a final draft version of an article whose final and definitive form has been published by Taylor & Francis. Published in this repository with the kind permission of the publisher. | |
dc.rights.accesslevel | openAccess | fi |
dc.relation.doi | 10.1080/01630563.2016.1217881 | |
dc.type.okm | A1 | |