| dc.contributor.author | Bartholomew-Biggs, M. | |
| dc.contributor.author | Forbes, A.B. | |
| dc.date.accessioned | 2009-03-10T14:47:16Z | |
| dc.date.available | 2009-03-10T14:47:16Z | |
| dc.date.issued | 2000 | |
| dc.identifier.citation | Bartholomew-Biggs , M & Forbes , A B 2000 , ' A Two-dimensional Search used with a Non-Linear least Squares Solver ' , Journal of Optimization Theory and Applications , vol. 104 , no. 1 , pp. 215-234 . https://doi.org/10.1023/A:1004641125471 | |
| dc.identifier.issn | 0022-3239 | |
| dc.identifier.other | PURE: 137681 | |
| dc.identifier.other | PURE UUID: fea53f5c-610f-4265-8a71-2ce797650011 | |
| dc.identifier.other | dspace: 2299/3012 | |
| dc.identifier.other | Scopus: 0034349461 | |
| dc.identifier.uri | http://hdl.handle.net/2299/3012 | |
| dc.description | “The original publication is available at www.springerlink.com”. Copyright Springer. DOI: 10.1023/A:1004641125471 [Full text of this article is not available in the UHRA] | |
| dc.description.abstract | This note describes a modified search strategy for use with a Gauss-Newton method for nonlinear least-squares problems. If a standard line search along the Gauss-Newton vector p is unable to make much progress, a new search direction is constructed which lies in the plane of p and the steepest-descent vector. Numerical experiments show that a quadratic model of the objective function in this plane can yield effective corrections when the basic Gauss-Newton technique experiences difficulty. | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of Optimization Theory and Applications | |
| dc.title | A Two-dimensional Search used with a Non-Linear least Squares Solver | en |
| dc.contributor.institution | School of Physics, Astronomy and Mathematics | |
| dc.description.status | Peer reviewed | |
| rioxxterms.versionofrecord | https://doi.org/10.1023/A:1004641125471 | |
| rioxxterms.type | Journal Article/Review | |
| herts.preservation.rarelyaccessed | true | |
