Characterization of the Robust Isolated Calmness for a Class of Conic Programming Problems
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چکیده
منابع مشابه
Characterization of the Robust Isolated Calmness for a Class of Conic Programming Problems
This paper is devoted to studying the robust isolated calmness of the Karush– Kuhn–Tucker (KKT) solution mapping for a large class of interesting conic programming problems (including most commonly known ones arising from applications) at a locally optimal solution. Under the Robinson constraint qualification, we show that the KKT solution mapping is robustly isolated calm if and only if both t...
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ژورنال
عنوان ژورنال: SIAM Journal on Optimization
سال: 2017
ISSN: 1052-6234,1095-7189
DOI: 10.1137/16m1058753