Characterizing the solution set of convex optimization problems without convexity of constraints
Author:
Funder
Thailand Research Fund through the Royal Golden Jubilee Ph.D. Program
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization
Link
http://link.springer.com/article/10.1007/s11590-019-01397-x/fulltext.html
Reference31 articles.
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3. Feltenmark, S., Kiwiel, K.: Dual applications of proximal bundle methods, including Lagrangian relaxation of nonconvex problems. SIAM J. Optim. 10(3), 697–721 (2000)
4. Mangasarian, O.L.: A simple characterization of solution sets of convex programs. Oper. Res. Lett. 7, 21–26 (1988)
5. Burke, J.V., Ferris, M.: Characterization of solution sets of convex programs. Oper Res Lett 10, 57–60 (1991)
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