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言語
英語
著者
内容記述(抄録等)
In mathematical programming, constraint qualifications are essential elements for duality theory. Recently, necessary and sufficient constraint qualifications for Lagrange duality results have been investigated. Also, surrogate duality enables one to replace the problem by a simpler one in which the constraint function is a scalar one. However, as far as we know, a necessary and sufficient constraint qualification for surrogate duality has not been proposed yet. In this paper, we propose necessary and sufficient constraint qualifications for surrogate duality and surrogate min-max duality, which are closely related with ones for Lagrange duality.
主題
mathematical programming
quasiconvex functions
surrogate duality
constraint qualification
掲載誌名
Journal of Optimization Theory and Applications
152
2
開始ページ
366
終了ページ
377
ISSN
00223239
発行日
2012-02
DOI
DOI公開日
2015-07-14
NCID
AA00253056
出版者
Springer
資料タイプ
学術雑誌論文
ファイル形式
PDF
権利関係
© Springer Science+Business Media, LLC 2011
The final publication is available at Springer via http://dx.doi.org/10.1007/s10957-011-9893-4.
著者版/出版社版
著者版
部局
(旧組織)大学院総合理工学研究科
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