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Optimization
A Journal of Mathematical Programming and Operations Research
Volume 63, 2014 - Issue 5
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Articles

Strong duality in robust semi-definite linear programming under data uncertainty

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Pages 713-733 | Received 06 Dec 2011, Accepted 30 Apr 2012, Published online: 01 Jun 2012

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Pengfei Liu, Wenguo Yang & Tiande Guo. (2016) A discussion on the conservatism of robust linear optimization problems. Optimization 65:8, pages 1641-1650.
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Baha Alzalg & Amira Achouak Oulha. (2022) On approximate solutions for robust semi-infinite multi-objective convex symmetric cone optimization. Positivity 26:5.
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Roya Karimi, Jianqiang Cheng & Miguel A. Lejeune. (2021) A Framework for Solving Chance-Constrained Linear Matrix Inequality Programs. INFORMS Journal on Computing 33:3, pages 1015-1036.
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Satoshi Suzuki & Daishi Kuroiwa. (2020) Duality Theorems for Convex and Quasiconvex Set Functions. SN Operations Research Forum 1:1.
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Bo Liu & Yufei Wang. 2020. Towards Sustainable Chemical Processes. Towards Sustainable Chemical Processes 149 170 .
Jae Hyoung Lee & Gue Myung Lee. (2016) On optimality conditions and duality theorems for robust semi-infinite multiobjective optimization problems. Annals of Operations Research 269:1-2, pages 419-438.
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Jae Hyoung Lee & Gue Myung Lee. (2017) On approximate solutions for robust convex semidefinite optimization problems. Positivity 22:3, pages 845-857.
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Liguo Jiao & Jae Hyoung Lee. (2017) Approximate Optimality and Approximate Duality for Quasi Approximate Solutions in Robust Convex Semidefinite Programs. Journal of Optimization Theory and Applications 176:1, pages 74-93.
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Satoshi Suzuki, Daishi Kuroiwa & Gue Myung Lee. (2013) Surrogate duality for robust optimization. European Journal of Operational Research 231:2, pages 257-262.
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V. Jeyakumar, G.Y. Li & S. Srisatkunarajah. (2013) Strong duality for robust minimax fractional programming problems. European Journal of Operational Research 228:2, pages 331-336.
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