Abstract
In the last two decades, there has been an increasing interest in nonsmooth optimization, both from a theoretical viewpoint and because of several applications. Necessary optimality conditions, as well as other important topics, have received new attention (see, for instance, Refs. 1–11 and references therein).
In recent papers (see, for instance, Refs. 12–18 and references therein), theorems of the alternative for generalized systems have been studied and their use in optimization has been exploited. As a consequence of this analysis, the concept of image of a constrained extremum problem has been developed; such a concept, whose introduction goes back to the work of Carathéodory, has only recently been recognized to be a powerful tool (Refs. 8, 10, 13, 14, 18–21). On the basis of these ideas, in the present paper we deal with a necessary condition for constrained extremum problems having a finite-dimensional image, while those having an infinite-dimensional one will be treated in a subsequent paper. The necessary condition is established within a class of semidifferentiable functions, which is introduced here and which embraces several classic types of functions (e.g., convex functions, differentiable functions, and even some discontinuous functions). The condition embodies the classic theorems of Lagrange, John, Karush, Kuhn-Tucker, and Euler.
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References
Gould, F. J.,Extensions of Lagrange Multipliers in Nonlinear Programming, SIAM Journal on Applied Mathematics, Vol. 17, pp. 1280–1297, 1969.
Hiriart-Urruty, J. B.,Tangent Cones, Generalized Gradient, and Mathematical Programming in Banach Spaces, Mathematics of Operations Research, Vol. 4, pp. 79–97, 1979.
Ben-Israel, A., Ben-Tal, A., andZlobec, S.,Optimality in Nonlinear Programming: A Feasible Direction Approach, John Wiley, New York, New York, 1981.
Ioffe, A. D.,Nonsmooth Analysis: Differential Calculus of Nondifferentiable Mappings, Transactions of the American Mathematical Society, Vol. 266, pp. 1–56, 1981.
Rockafellar, R. T.,The Theory of Subgradients and Its Applications to Problems of Optimization: Convex and Nonconvex Functions, Heldermann Verlag, Berlin, Germany, 1981.
Ben-Tal, A., andZowe, J.,Necessary and Sufficient Optimality Conditions for a Class of Nonsmooth Minimization Problems, Mathematical Programming, Vol. 24, pp. 70–91, 1982.
Aubin, J. P.,Lipschitz Behavior of Solutions to Convex Minimization Problems, Mathematics of Operations Research, Vol. 9, pp. 87–111, 1984.
Clarke, F. H.,Optimization and Nonsmooth Analysis, John Wiley, New York, New York, 1984.
Favati, P., andSteffé, S.,Condizioni Necessarie per Problemi di Ottimizzazione in Presenza di Vincoli, Research Report No. 117, Optimization and Operations Research Group, Department of Mathematics, University of Pisa, Pisa, Italy, 1984.
Ioffe, A. D.,Necessary Conditions in Nonsmooth Optimization, Mathematics of Operations Research, Vol. 9, pp. 159–189, 1984.
Dem'yanov, V. F., andVasiliev, L. V.,Nondifferentiable Optimization, Optimization Software, New York, New York, 1984.
Tardella, F.,On the Image of a Constrained Extremum Problem and Some Applications to the Existence of the Minimum, Journal of Optimization Theory and Applications, Vol. 60, pp. 93–104, 1989.
Giannessi, F.,Theorems of the Alternative and Optimality Conditions, Journal of Optimization Theory and Applications, Vol. 42, pp. 331–365, 1984.
Giannessi, F.,On Lagrangian Nonlinear Multipliers Theory for Constrained Optimization and Related Topics, Research Report No. 123, Optimization and Operations Research Group, Department of Mathematics, University of Pisa, Pisa, Italy, 1985.
Martein, L.,Regularity Conditions for Constrained Extremum Problems. Journal of Optimization Theory and Applications, Vol. 47, pp. 217–233, 1985.
Cambini, A.,Nonlinear Separation Theorems, Duality, and Optimality Conditions, Optimization and Related Fields, Edited by R. Conti, E. DeGiorgi, and F. Giannessi, Springer-Verlag, Berlin, Germany, 1986.
Pappalardo, M.,On the Duality Gap in Nonconvex Optimization, Mathematics of Operations Research, Vol. 11, pp. 30–35, 1986.
Giannessi, F.,Theorems of the Alternative for Multifunctions with Applications to Optimization: General Results, Journal of Optimization Theory and Applications, Vol. 55, pp. 233–256, 1987.
Hestenes, M. R.,Calculus of Variations and Optimal Control Theory, John Wiley, New York, New York, 1966.
Halkin, H.,Necessary Conditions for Optimal Control Problems with Differentiable or Nondifferentiable Data, Lecture Notes in Mathematics No. 680, Edited by W. A. Cappell, Springer-Verlag, Berlin, Germany, pp. 77–118, 1978.
Warga, J.,Controllability and Necessary Conditions in Unilateral Problems without Differentiability Assumptions, SIAM Journal on Control and Optimization, Vol. 14, pp. 546–573, 1976.
Bliss, G. A.,Lectures on the Calculus of Variations, University of Chicago Press, Chicago, Illinois, 1945.
Mangasarian, O. L.,Nonlinear Programming, McGraw-Hill, New York, New York, 1969.
Nieuwenhuis, J. W.,A General Multiplier Rule, Journal of Optimization Theory and Applications, Vol. 31, pp. 167–176, 1980.
Rockafellar, R. T.,Convex Analysis, Princeton University Press, Princeton, New Jersey, 1970.
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Useful discussions with O. Ferrero, L. Martein, M. Pappalardo, and C. Z<alinescu are gratefully acknowledged. In particular, Profs. Ferrero and Martein have helped to improve the statement of Condition 3.1 and the proof of Theorem 6.1, and Prof. Z<alinescu has substantially shortened the proofs of Proposition 2.1 and Lemmas 4.1 and 4.2.
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Giannessi, F. Semidifferentiable functions and necessary optimality conditions. J Optim Theory Appl 60, 191–241 (1989). https://doi.org/10.1007/BF00940005
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DOI: https://doi.org/10.1007/BF00940005