ファイル情報(添付) | |
タイトル |
Necessary and Sufficient Constraint Qualification for Surrogate Duality
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著者 | |
収録物名 |
Journal of Optimization Theory and Applications
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巻 | 152 |
号 | 2 |
開始ページ | 366 |
終了ページ | 377 |
収録物識別子 |
ISSN 00223239
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内容記述 |
その他
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.
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主題 | |
言語 |
英語
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資源タイプ | 学術雑誌論文 |
出版者 |
Springer
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発行日 | 2012-02 |
権利情報 |
© Springer Science+Business Media, LLC 2011
The final publication is available at Springer via http://dx.doi.org/10.1007/s10957-011-9893-4.
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出版タイプ | Accepted Manuscript(出版雑誌の一論文として受付されたもの。内容とレイアウトは出版社の投稿様式に沿ったもの) |
アクセス権 | オープンアクセス |
関連情報 |
[DOI] 10.1007/s10957-011-9893-4
[NCID] AA00253056
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