A necessary and sufficient condition for minimizing a convex Frechet differentiable function on a certain hyperplane
| dc.citation.epage | 296 | en_US |
| dc.citation.issue | 1 | en_US |
| dc.citation.spage | 290 | en_US |
| dc.citation.volume | 253 | en_US |
| dc.citation.woscount | 0 | |
| dc.contributor.author | Li, HL | en_US |
| dc.contributor.author | Liu, YH | en_US |
| dc.contributor.author | Matache, V | en_US |
| dc.contributor.author | Yu, PL | en_US |
| dc.contributor.department | 資訊管理與財務金融系 註：原資管所+財金所 | zh_TW |
| dc.contributor.department | Department of Information Management and Finance | en_US |
| dc.date.accessioned | 2014-12-08T15:44:26Z | |
| dc.date.available | 2014-12-08T15:44:26Z | |
| dc.date.issued | 2001-01-01 | en_US |
| dc.description.abstract | A convex Frechet differentiable function is minimized subject to a certain hyperplane at a point if the function is minimized in all directions which are defined by a finite set of vectors. The proposed approach is different from the Lagrange multiplier approach. At the end of this paper, a linear program is formulated to solve the case when the above given convex function is quadratic. (C) 2001 Academic Press. | en_US |
| dc.identifier.doi | 10.1006/jmaa.2000.7115 | en_US |
| dc.identifier.issn | 0022-247X | en_US |
| dc.identifier.journal | JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1006/jmaa.2000.7115 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/30015 | |
| dc.identifier.wosnumber | WOS:000166351700019 | |
| dc.language.iso | en_US | en_US |
| dc.subject | convex function | en_US |
| dc.subject | Frechet differentiable | en_US |
| dc.subject | quadratic programming | en_US |
| dc.title | A necessary and sufficient condition for minimizing a convex Frechet differentiable function on a certain hyperplane | en_US |
| dc.type | Article | en_US |