完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Lu, Hao-Chun | en_US |
dc.contributor.author | Li, Han-Lin | en_US |
dc.contributor.author | Gounaris, Chrysanthos E. | en_US |
dc.contributor.author | Floudas, Christodoulos A. | en_US |
dc.date.accessioned | 2014-12-08T15:07:43Z | - |
dc.date.available | 2014-12-08T15:07:43Z | - |
dc.date.issued | 2010-01-01 | en_US |
dc.identifier.issn | 0925-5001 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1007/s10898-009-9414-2 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/6072 | - |
dc.description.abstract | Convex underestimation techniques for nonlinear functions are an essential part of global optimization. These techniques usually involve the addition of new variables and constraints. In the case of posynomial functions x(1)(alpha 1)x(2)(alpha 2) ... x(n)(alpha n), logarithmic transformations (Maranas and Floudas, Comput. Chem. Eng. 21: 351-370, 1997) are typically used. This study develops an effective method for finding a tight relaxation of a posynomial function by introducing variables y(j) and positive parameters beta(j), for all alpha(j) > 0, such that y(j) = x(j)(-beta j). By specifying beta(j) carefully, we can find a tighter underestimation than the current methods. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Convex underestimation | en_US |
dc.subject | Posynomial functions | en_US |
dc.title | Convex relaxation for solving posynomial programs | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1007/s10898-009-9414-2 | en_US |
dc.identifier.journal | JOURNAL OF GLOBAL OPTIMIZATION | en_US |
dc.citation.volume | 46 | en_US |
dc.citation.issue | 1 | en_US |
dc.citation.spage | 147 | en_US |
dc.citation.epage | 154 | 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.identifier.wosnumber | WOS:000272375600010 | - |
dc.citation.woscount | 9 | - |
顯示於類別: | 期刊論文 |