| dc.contributor.author | Li, Lu | |
| dc.contributor.author | Celledoni, Elena | |
| dc.date.accessioned | 2019-05-06T14:08:55Z | |
| dc.date.available | 2019-05-06T14:08:55Z | |
| dc.date.created | 2019-01-11T10:43:17Z | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 1017-1398 | |
| dc.identifier.uri | http://hdl.handle.net/11250/2596676 | |
| dc.description.abstract | We study geometric properties of Krylov projection methods for large and sparse linear Hamiltonian systems. We consider in particular energy-preservation. We discuss the connection to structure preserving model reduction. We illustrate the performance of the methods by applying them to Hamiltonian PDEs. | nb_NO |
| dc.language.iso | eng | nb_NO |
| dc.publisher | Springer Verlag | nb_NO |
| dc.title | Krylov projection methods for linear Hamiltonian systems | nb_NO |
| dc.type | Journal article | nb_NO |
| dc.type | Peer reviewed | nb_NO |
| dc.description.version | acceptedVersion | nb_NO |
| dc.source.journal | Numerical Algorithms | nb_NO |
| dc.identifier.doi | 10.1007/s11075-018-00649-8 | |
| dc.identifier.cristin | 1654714 | |
| dc.relation.project | Norges teknisk-naturvitenskapelige universitet: SPIRIT 231632 | nb_NO |
| dc.relation.project | EC/H2020/CHiPS | nb_NO |
| dc.description.localcode | This is a post-peer-review, pre-copyedit version of an article published in [Numerical Algorithms] Locked until 9.1.2020 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/s11075-018-00649-8 | nb_NO |
| cristin.unitcode | 194,63,15,0 | |
| cristin.unitname | Institutt for matematiske fag | |
| cristin.ispublished | true | |
| cristin.fulltext | preprint | |
| cristin.fulltext | postprint | |
| cristin.qualitycode | 1 | |
