| dc.contributor.author | Bartholomew-Biggs, M. | |
| dc.contributor.author | Brown, S. | |
| dc.contributor.author | Christianson, B. | |
| dc.contributor.author | Dixon, L. | |
| dc.date.accessioned | 2009-03-10T14:32:05Z | |
| dc.date.available | 2009-03-10T14:32:05Z | |
| dc.date.issued | 2000 | |
| dc.identifier.citation | Bartholomew-Biggs , M , Brown , S , Christianson , B & Dixon , L 2000 , ' Automatic Differentiation of Algorithms ' , Journal of Computational and Applied Mathematics , vol. 124 , no. 1-2 , pp. 171-190 . https://doi.org/10.1016/S0377-0427(00)00422-2 | |
| dc.identifier.issn | 0377-0427 | |
| dc.identifier.other | dspace: 2299/3010 | |
| dc.identifier.other | ORCID: /0000-0002-3777-7476/work/76728443 | |
| dc.identifier.uri | http://hdl.handle.net/2299/3010 | |
| dc.description | Original article can be found at http://www.sciencedirect.com/science/journal/03770427 Copyright Elsevier B. V. | |
| dc.description.abstract | We introduce the basic notions of Automatic Differentiation, describe some extensions which are of interest in the context of nonlinear optimization and give some illustrative examples. | en |
| dc.format.extent | 313906 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of Computational and Applied Mathematics | |
| dc.title | Automatic Differentiation of Algorithms | en |
| dc.contributor.institution | School of Computer Science | |
| dc.contributor.institution | Science & Technology Research Institute | |
| dc.contributor.institution | School of Physics, Astronomy and Mathematics | |
| dc.description.status | Peer reviewed | |
| rioxxterms.versionofrecord | 10.1016/S0377-0427(00)00422-2 | |
| rioxxterms.type | Journal Article/Review | |
| herts.preservation.rarelyaccessed | true | |
