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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/6766
Title: On second-order directional derivatives of value functions
Authors: Minchenko, L. L.
Tarakanov, A. N.
Keywords: публикации ученых;nonlinear programming;multivalued mappings;optimal value function;regularity conditions;calmness;directional derivatives
Issue Date: 2015
Publisher: Optimization: A Journal of Mathematical Programming and Operations Research
Citation: Minchenko, L. On second-order directional derivatives of value functions / L. Minchenko, A. Tarakanova // Optimization: A Journal of Mathematical Programming and Operations Research. – 2015. – Volume 64. – Issue 2. - Pp. 389 - 407.
Abstract: Directional derivatives of value functions play an essential role in the sensitivity and stability analysis of parametric optimization problems, in studying bi-level and min–max problems, in quasi- differentiable calculus. Their calculation is studied in numerous works by A.V. Fiacco, V.F. Demyanov and A.M. Rubinov, R.T. Rockafellar, A. Shapiro, J.F. Bonnans, A.D. Ioffe, A. Auslender and R. Cominetti, and many other authors. This article is devoted to the existence of the second order directional derivatives of value functions in parametric problems with non-single-valued solutions. The main idea of the investigation approach is based on the development of the method of the first-order approximations by V.F. Demyanov and A.M. Rubinov.
URI: https://libeldoc.bsuir.by/handle/123456789/6766
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