Abstract
In this paper, we study optimal value functions of generalized semi-infinite minmax programming problems on a noncompact set. Directional derivatives and subdifferential characterizations of optimal value functions are given. Using these properties, we establish first order optimality conditions for unconstrained generalized semi-infinite programming problems.
Similar content being viewed by others
References
Polak, E., Optimization: Algorithms and Consistent Approximations, Berlin-Heidelberg: Springer-Verlag, 1997, 368–481.
Liu, Y., LtO, S., Lee, H. W. J. et al., Semi-infinite programming approach to continuously-constrained linear-quadratic optimal control problems, JOTA, 2001, 108(3): 617–632.
Goberna, M. A’., Lo’pez, M. A., Semi-infinite Programming Recent Advances, Dordrecht-Boston-London: Kluwer Academic Publishers, 2001, 42–108.
Reemtsen, R., Ruckmann, J. J., Semi-infinite Programming, Dordrecht-Boston-London: Kluwer Academic Publishers, 1998, 60–120.
Huang, L. R., Ng, K. F., Second order optimality conditions for minimizing a sup-type function, Science in China, Ser. A, 2000, 30(4): 325–336.
Kawasaki, H., The upper and lower second-order directional derivatives of a sup-type function, Math. Programming, 1991, 49: 213–229.
Kawasaki, H., Second-order necessary and sufficient optimality conditions for minimizing a suptype function, Appl. Math. Optim., 1992, 26: 195–220.
Ruckmann, J. J., Shapiro, A., First-order optimality conditions in generalized semi-infinite programming, JOTA, 1999, 101(3): 677–691.
Dempe, S., Foundations of Bilevel Programming, Dordrecht-Boston-London: Kluwer Academic Publishers, 2002, 61–172
Bonnans, J. F., Shapiro, A., Perturbation Analysis of Optimization Problems, Berlin-Heidelberg: Springer-Verlag, 2000, 95–192
Kaplan, A., Tichatschke, R., Path-Following proximal approach for solving ill-posed convex semi-infinite programming problems, JOTA, 1996, 90(1): 113–136.
Shell, R. L., Wu, S. Y., Combined entropic regularization and path-following mehtod for solving finite convex min-max problems subject to infinitely many linear constraints, JOTA, 1999, 101(1): 167–190.
Still, G., Discretization in semi-infinite programming: the rate of convergence, Math. Programming, 2001, 91(1): 53–69.
Gucat, M., Disretization in semi-infinite parametric programming: Uniform convergence of the optimal value Functions of Discretized Problems, JOTA, 1999, 101(1): 191–201.
Wang, C. Y., Han, J. Y., The stability of the maximum entropy method for nonsmooth semi-infinite programmings, Science in China, Ser. A, 1999, 42(11): 1129–1136.
Danskin, J. M., The theory of min-max with applications, SIAM J. Appl. Math., 1966, 14: 641–664.
Rockafellar, R. T., Convex Analysis, Princeton Math. Series. Princeton: Princeton Univ. Press, 1970, 112–114.
Teo, K. L., Yang, X. Q., Jennings, L. S., Computational discretization algorithms for functional inequality constrained optimization, Annals of Operations Research, 2000, 98: 215–234.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wang, C., Yang, X. & Yang, X. Optimal value functions of generalized semi-infinite min-max programming on a noncompact set. Sci. China Ser. A-Math. 48, 261–276 (2005). https://doi.org/10.1360/03ys0197
Received:
Issue Date:
DOI: https://doi.org/10.1360/03ys0197