Necessary Optimality Conditions for Vector Reverse Convex Minimization Problems via a Conjugate Duality
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s10013-022-00602-2.pdf
Reference17 articles.
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2. Boţ, R.I., Grad, S. M., Wanka, G.: Fenchel–Lagrange versus geometric duality in convex optimization. J. Optim. Theory Appl. 129, 33–54 (2006)
3. Boţ, R.I., Wanka, G.: Duality for multiobjective optimization problems with convex objective functions and D.C. constraints. J. Math. Anal. Appl. 315, 526–543 (2006)
4. Boţ, R.I., Kassay, G., Wanka, G.: Duality for almost convex optimization problems via the perturbation approach. J. Glob. Optim. 42, 385–399 (2008)
5. Boţ, R.I., Grad, S.-M., Wanka, G.: Duality in Vector Optimization. Springer, Berlin (2009)
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1. A Barrier Lagrangian Dual Method for Multi-stage Stochastic Convex Semidefinite Optimization;Vietnam Journal of Mathematics;2024-09-09
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