dc.contributor.author | Tingelstad, Lars | |
dc.contributor.author | Egeland, Olav | |
dc.date.accessioned | 2016-11-29T12:46:07Z | |
dc.date.accessioned | 2017-01-23T15:30:30Z | |
dc.date.available | 2016-11-29T12:46:07Z | |
dc.date.available | 2017-01-23T15:30:30Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Advances in Applied Clifford Algebras 2016 | nb_NO |
dc.identifier.issn | 1661-4909 | |
dc.identifier.uri | http://hdl.handle.net/11250/2428077 | |
dc.description.abstract | In this work, we present a novel approach to non-linear optimization of multivectors in the Euclidean and conformal model of geometric algebra by introducing automatic differentiation. This is used to compute gradients and Jacobian matrices of multivector valued functions for use in non-linear optimization where the emphasis is on the estimation of rigid body motions. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Springer Verlag | nb_NO |
dc.relation.uri | http://link.springer.com/content/pdf/10.1007%2Fs00006-016-0722-6.pdf | |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Automatic Multivector Differentiation and Optimization | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.date.updated | 2016-11-29T12:46:07Z | |
dc.source.journal | Advances in Applied Clifford Algebras | nb_NO |
dc.identifier.doi | 10.1007/s00006-016-0722-6 | |
dc.identifier.cristin | 1374635 | |
dc.relation.project | Norges forskningsråd: 237896 | nb_NO |
dc.description.localcode | © The Author(s) 2016. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | nb_NO |