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Further Results on Differential Stability of Convex Optimization Problems

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Abstract

As a complement to a recent paper by An and Yen (Appl Anal 94:108–128, 2015) on subdifferentials of the optimal value function in parametric convex programming under inclusion constraints and functional constraints, this paper studies the differential stability of convex optimization problems under a regularity condition of Aubin’s type (Aubin in Optima and equilibria: an introduction to nonlinear analysis. Springer, New York, 1998). By a suitable sum rule for convex subdifferentials, we obtain exact formulas for the subdifferential and singular subdifferential of the optimal value function. Illustrative examples and a detailed comparison of our results with those of the above-mentioned paper are given.

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Acknowledgments

The research of Duong Thi Viet An was supported by the National Foundation for Science & Technology Development (Vietnam) under grant number 101.01-2014.37 and College of Sciences, Thai Nguyen University. The research of Jen-Chih Yao was supported by the Grant MOST 102-2221-E-039-017-MY3. The authors thank Prof. Nguyen Dong Yen for useful discussions, Mr. Vu Xuan Truong for pointing us the proof of the geometrical form of the Moreau–Rockafellar theorem in [4] and two anonymous referees for valuable remarks.

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An, D.T.V., Yao, JC. Further Results on Differential Stability of Convex Optimization Problems. J Optim Theory Appl 170, 28–42 (2016). https://doi.org/10.1007/s10957-016-0900-7

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  • DOI: https://doi.org/10.1007/s10957-016-0900-7

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