Model reduction by iterative error system approximation
dc.citation.firstpage | 103 | en_US |
dc.citation.issueNumber | 2 | en_US |
dc.citation.journalTitle | Mathematical and Computer Modelling of Dynamical Systems | en_US |
dc.citation.lastpage | 118 | en_US |
dc.citation.volumeNumber | 24 | en_US |
dc.contributor.author | Antoulas, A.C. | en_US |
dc.contributor.author | Benner, Peter | en_US |
dc.contributor.author | Feng, Lihong | en_US |
dc.date.accessioned | 2018-07-11T15:59:28Z | en_US |
dc.date.available | 2018-07-11T15:59:28Z | en_US |
dc.date.issued | 2018 | en_US |
dc.description.abstract | The analysis of a posteriori error estimates used in reduced basis methods leads to a model reduction scheme for linear time-invariant systems involving the iterative approximation of the associated error systems. The scheme can be used to improve reduced-order models (ROMs) with initial poor approximation quality at a computational cost proportional to that for computing the original ROM. We also show that the iterative approximation scheme is applicable to parametric systems and demonstrate its performance using illustrative examples. | en_US |
dc.identifier.citation | Antoulas, A.C., Benner, Peter and Feng, Lihong. "Model reduction by iterative error system approximation." <i>Mathematical and Computer Modelling of Dynamical Systems,</i> 24, no. 2 (2018) Taylor & Francis: 103-118. https://doi.org/10.1080/13873954.2018.1427116. | en_US |
dc.identifier.doi | https://doi.org/10.1080/13873954.2018.1427116 | en_US |
dc.identifier.uri | https://hdl.handle.net/1911/102377 | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.rights | This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.subject.keyword | model order reduction | en_US |
dc.subject.keyword | successive refinement | en_US |
dc.subject.keyword | error system | en_US |
dc.subject.keyword | weighted model reduction | en_US |
dc.title | Model reduction by iterative error system approximation | en_US |
dc.type | Journal article | en_US |
dc.type.dcmi | Text | en_US |
dc.type.publication | publisher version | en_US |
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