Set-valued Optimization pp 77-108 | Cite as
Continuity and Differentiability
Chapter
First Online:
Abstract
In this chapter we present continuity notions for set-valued mappings and corresponding properties under convexity assumptions. Furthermore, we introduce Lipschitz properties for single-valued and set-valued maps. Concepts of generalized differentiability and corresponding calculus rules are recalled.
References
- 24.Bao, T.Q., Mordukhovich, B.S.: Existence of minimizers and necessary conditions in set-valued optimization with equilibrium constraints. Appl. Math. 52, 452–562 (2007)MathSciNetCrossRefGoogle Scholar
- 25.Bao, T.Q., Mordukhovich, B.S.: Variational principles for set-valued mappings with applications to multiobjective optimization. Control Cybern. 36(3), 531–562 (2007)MathSciNetMATHGoogle Scholar
- 26.Bao, T.Q., Mordukhovich, B.S.: Necessary conditions for super minimizers in constrained multiobjective optimization. J. Global Optim. 43(4), 533–552 (2009)MathSciNetCrossRefMATHGoogle Scholar
- 27.Bao, T.Q., Mordukhovich, B.S.: Relative Pareto minimizers for multiobjective problems: existence and optimality conditions. Math. Program. 122(2, Ser. A), 301–347 (2010)Google Scholar
- 66.Borwein, J.M., Zhu, Q.J.: Techniques of variational analysis. CMS Books in Mathematics/Ouvrages de Mathématiques de la SMC, vol. 20. Springer, New York (2005)Google Scholar
- 67.Borwein, J.M.: Continuity and differentiability properties of convex operators. Proc. Lond. Math. Soc. (3) 44(3), 420–444 (1982)Google Scholar
- 100.Clarke, F.H.: Optimization and nonsmooth analysis. Canadian Mathematical Society Series of Monographs and Advanced Texts. Wiley, New York (1983)MATHGoogle Scholar
- 184.Ferro, F.: An optimization result for set-valued mappings and a stability property in vector problems with constraints. J. Optim. Theory Appl. 90(1), 63–77 (1996)MathSciNetCrossRefMATHGoogle Scholar
- 185.Ferro, F.: Optimization and stability results through cone lower semicontinuity. Set Valued Anal. 5(4), 365–375 (1997)MathSciNetCrossRefMATHGoogle Scholar
- 214.Göpfert, A., Riahi, H., Tammer, C., Zălinescu, C.: Variational methods in partially ordered spaces. CMS Books in Mathematics/Ouvrages de Mathématiques de la SMC, vol. 17. Springer, New York (2003)Google Scholar
- 228.Ha, T.X.D.: Optimality conditions for several types of efficient solutions of set-valued optimization problems. In: Nonlinear Analysis and Variational Problems, Springer Optim. Appl., vol. 35, pp. 305–324. Springer, New York (2010)Google Scholar
- 260.Heyde, F., Schrage, C.: Continuity concepts for set-valued functions and a fundamental duality formula for set-valued optimization. J. Math. Anal. Appl. 397(2), 772–784 (2013)MathSciNetCrossRefMATHGoogle Scholar
- 275.Ioffe, A.D.: Calculus of Dini subdifferentials of functions and contingent coderivatives of set-valued maps. Nonlinear Anal. 8(5), 517–539 (1984)MathSciNetCrossRefMATHGoogle Scholar
- 277.Ioffe, A.D.: Approximate subdifferentials and applications. III. The metric theory. Mathematika 36(1), 1–38 (1989)MathSciNetMATHGoogle Scholar
- 329.Klatte, D., Kummer, B.: Nonsmooth equations in optimization. Nonconvex Optimization and Its Applications, vol. 60. Kluwer Academic, Dordrecht (2002)Google Scholar
- 342.Kruger, A.J., Morduhovič, B.Š.: Extremal points and the Euler equation in nonsmooth optimization problems. Dokl. Akad. Nauk BSSR 24(8), 684–687, 763 (1980)Google Scholar
- 343.Kruger, A.Y.: On the extremality of set systems. Dokl. Nats. Akad. Nauk Belarusi 42(1), 24–28, 123 (1998)Google Scholar
- 407.Luc, D.T., Tan, N.X., Tinh, P.N.: Convex vector functions and their subdifferential. Acta Math. Vietnam. 23(1), 107–127 (1998)MathSciNetMATHGoogle Scholar
- 425.Mordukhovich, B.S.: Maximum principle in the problem of time optimal response with nonsmooth constraints. Prikl. Mat. Meh. 40(6), 1014–1023 (1976)MathSciNetGoogle Scholar
- 426.Mordukhovich, B.S.: Metric approximations and necessary conditions for optimality for general classes of nonsmooth extremal problems, (russian). Dokl. Akad. Nauk SSSR 254, 1072–1076 (1980)MathSciNetGoogle Scholar
- 427.Mordukhovich, B.S.: Generalized differential calculus for nonsmooth and set-valued mappings. J. Math. Anal. Appl. 183(1), 250–288 (1994)MathSciNetCrossRefMATHGoogle Scholar
- 430.Mordukhovich, B.S.: Variational Analysis and Generalized Differentiation, Vol. I: Basic Theory, Vol. II: Applications. Springer, Berlin (2006)Google Scholar
- 431.Mordukhovich, B.S.: Variational analysis and generalized differentiation, Vol. II: Applications, Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences], vol. 331. Springer, Berlin (2006)Google Scholar
- 432.Mordukhovich, B.S., Shao, Y.H.: Nonsmooth sequential analysis in Asplund spaces. Trans. Am. Math. Soc. 348(4), 1235–1280 (1996)MathSciNetCrossRefMATHGoogle Scholar
- 473.Penot, J.P., Théra, M.: Semicontinuous mappings in general topology. Arch. Math. (Basel) 38(2), 158–166 (1982)Google Scholar
- 474.Penot, J.P., Zălinescu, C.: Harmonic sum and duality. J. Convex Anal. 7(1), 95–113 (2000)MathSciNetMATHGoogle Scholar
- 486.Ricceri, B.: Remarks: “On multifunctions with convex graph” [Atti Accad. Naz. Lincei Rend. Cl. Sci. Fis. Mat. Natur. (8) 77(3-4), 64–70 (1984, 1985); MR0884937 (88d:54021)]. Arch. Math. (Basel) 52(5), 519–520 (1989)Google Scholar
- 499.Rockafellar, R.T., Wets, R.J.B.: Variational Analysis. Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences], vol. 317. Springer, Berlin (1998)Google Scholar
- 535.Song, W.: Conjugate duality in set-valued vector optimization. J. Math. Anal. Appl. 216(1), 265–283 (1997)MathSciNetCrossRefMATHGoogle Scholar
- 609.Zălinescu, C.: The Fenchel–Rockafellar duality theory for mathematical programming in oreder-complete vector lattices and applications. Tech. Rep. 45, INCREST, Bucharest (1980)Google Scholar
- 611.Zălinescu, C.: Optimality conditions in infinite dimensional convex programming (Romanian). Ph.D. thesis, University Alexandru Ioan Cuza Iasi, Iasi, Romania (1983)Google Scholar
- 614.Zălinescu, C.: Convex Analysis in General Vector Spaces. World Scientific, River Edge (2002)CrossRefMATHGoogle Scholar
- 621.Zheng, X.Y., Ng, K.F.: The Lagrange multiplier rule for multifunctions in Banach spaces. SIAM J. Optim. 17(4), 1154–1175 (electronic) (2006)Google Scholar
Copyright information
© Springer-Verlag Berlin Heidelberg 2015