Quasiconvex first-order approximations and Kuhn-Tucker type optimality conditions

DOI10.1016/0377-2217(93)90112-ZzbMath0779.49023OpenAlexW1974189852MaRDI QIDQ1804059

S. Komlósi

Publication date: 29 June 1993

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-2217(93)90112-z

zbMATH Keywords

generalized derivativesnondifferentiable optimizationKuhn-Tucker type necessary optimality conditionsfirst order approximationsquasiconvex first order approximationquasisubdifferential

Mathematics Subject Classification ID

Nonsmooth analysis (49J52)

Related Items (3)

Karush-Kuhn-Tucker transformation approach to multi-level linear programming problems. ⋮ What is quasiconvex analysis? ⋮ KKT transformation approach for multi-objective multi-level linear programming problems

Cites Work

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• Necessary and Sufficient Conditions for a Local Minimum. 1: A Reduction Theorem and First Order Conditions
• Solvability results for sublinear functions and operators
• Abstract cone approximations and generalized differentiability in nonsmooth optimization
• Dini derivatives in optimization — Part I

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