A necessary and sufficient condition for minimizing a convex Frechet differentiable function on a certain hyperplane

doi:10.1006/jmaa.2000.7115

完整後設資料紀錄

DC 欄位	值	語言
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.date.accessioned	2014-12-08T15:44:26Z	-
dc.date.available	2014-12-08T15:44:26Z	-
dc.date.issued	2001-01-01	en_US
dc.identifier.issn	0022-247X	en_US
dc.identifier.uri	http://dx.doi.org/10.1006/jmaa.2000.7115	en_US
dc.identifier.uri	http://hdl.handle.net/11536/30015	-
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.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
dc.identifier.doi	10.1006/jmaa.2000.7115	en_US
dc.identifier.journal	JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS	en_US
dc.citation.volume	253	en_US
dc.citation.issue	1	en_US
dc.citation.spage	290	en_US
dc.citation.epage	296	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:000166351700019	-
dc.citation.woscount	0	-
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