ファイル | |
言語 |
英語
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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.
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主題 | mathematical programming
quasiconvex functions
surrogate duality
constraint qualification
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掲載誌名 |
Journal of Optimization Theory and Applications
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巻 | 152
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号 | 2
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開始ページ | 366
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終了ページ | 377
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ISSN | 00223239
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発行日 | 2012-02
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DOI | |
DOI公開日 | 2015-07-14
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NCID | AA00253056
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出版者 | Springer
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資料タイプ |
学術雑誌論文
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ファイル形式 |
PDF
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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.
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著者版/出版社版 |
著者版
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部局 |
(旧組織)大学院総合理工学研究科
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