Abstract
The notions of exhaustive families of upper convex and lower concave approximations (in the sense of B.N.Pschenichnyi) were introduced in 1982. For some classes of nonsmooth functions, these tools appeared to be very productive and constructive (e.g., in the case of quasidifferentiable functions). In the present paper we introduce notions of upper exhauster and lower exhanster. It is demonstrated how to employ these notions to describe necessary optimality conditions and to find directions of steepest ascent and descent. If a proper exhauster is known, the above problems are reduced to the problems of finding the nearest points to convex sets.
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References
V.F. Demyanov and A.M. Rubinov. Some approaches to a nonsmooth optimization problem. Econom. i Mat. Metody, 17(6):1153–1174,1981. In Russian.
V.F. Demyanov and A.M. Rubinov. Elements of quasidifferential cal-culus. In V.F. Demyanov, editor, Nonsmooth Problems of Optimization Theory and Control, chapter 1, pages 5–127. Leningrad University Press, Leningrad, 1982.
V.F. Demyanov and A.M Rubinov. Constructive Nonsmooth Analysis. Verlag Peter Lang, Frankfurt a/M, 1995.
B.M Glover, Y. Ishizuka, V. Jeyakummar, and H.D Tuan. Complete characterizations of global optimality for problems involving the pointwise minimum of sublinear functions. SIAM J. Optimization, 6(2):362–372, 1996.
B.N. Pshenichnyi. Convex analysis and Extremal Problems. Nauka Publishers, Moscow, 1980. In Russian.
R.T. Rockafellar. Convex Analysis. Princeton University Press, Princeton N.J., 1970.
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© 2001 Kluwer Academic Publishers
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Demyanov, V.F., Rubinov, A.M. (2001). Exhaustive Families of Approximations Revisited. In: Gilbert, R.P., Panagiotopoulos, P.D., Pardalos, P.M. (eds) From Convexity to Nonconvexity. Nonconvex Optimization and Its Applications, vol 55. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0287-2_4
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DOI: https://doi.org/10.1007/978-1-4613-0287-2_4
Publisher Name: Springer, Boston, MA
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