References
- Apetrii M, Durea M, Strugariu R. A new penalization tool in scalar and vector optimizations. Nonlinear Anal.: Theory Methods Appl. 2014;107:22–33.
- Durea M, Panţiruc M, Strugariu R. Minimal time function with respect to a set of directions: basic properties and applications. Optim. Methods Softw. 2016;31:535-561, doi:10.1080/10556788.2015.1121488.
- Bao TQ, Mordukhovich BS. Sufficient conditions for global weak Pareto solutions in multiobjective optimization. Positivity. 2012;16:579–602.
- Dutta J. Optimality conditions for maximizing a locally Lipschitz function. Optimization. 2005;54:377–389.
- Hiriart-Urruty J-B. From convex optimization to nonconvex optimization. Necessary and sufficient conditions for global optimality. In: Clarke FH, Dem’yanov VF, Giannessi F, editors. Nonsmooth optimization and related topics. New York (NY): Plenum Press; 1989. p. 219–239.
- Hiriart-Urruty J-B, Ledyaev YS. A note on the characterization of the global maxima of a (tangentially) convex function over a convex set. J. Convex Anal. 1996;3:55–61.
- Mordukhovich BS, Nam NM, Yen ND. Fréchet subdifferential calculus and optimality conditions in nondifferentiable programming. Optimization. 2006;55:685–708.
- Durea M, Strugariu R. Necessary optimality conditions for weak sharp minima in set-valued optimization. Nonlinear Anal.: Theory Methods Appl. 2010;73:2148–2157.
- Ye JJ. The exact penalty principle. Nonlinear Anal.: Theory Methods Appl. 2012;75:1642–1654.
- Durea M, Strugariu R. On some Fermat rules for set-valued optimization problems. Optimization. 2011;60:575–591.
- Mordukhovich BS. Variational analysis and generalized differentiation, Vol. I: Basic theory, Vol. II: Applications. Vol. 330 and 331, Grundlehren der mathematischen Wissenschaften [A series of comprehensive studies in mathematics]. Berlin: Springer; 2006.
- Rockafellar RT, Wets RJ-B. Variational analysis. Berlin: Springer; 1998.