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Superefficiency in Vector Optimization with Nearly Subconvexlike Set-Valued Maps
Authors:L Y Xia  J H Qiu
Institution:(1) Department of Mathematics and Physics, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, People’s Republic of China;(2) Department of Mathematics, Suzhou University, Suzhou, Jiangsu, People’s Republic of China
Abstract:In the framework of locally convex topological vector spaces, we establish a scalarization theorem, a Lagrange multiplier theorem and duality theorems for superefficiency in vector optimization involving nearly subconvexlike set-valued maps.
Keywords:Nearly subconvexlike set-valued maps  Henig proper efficiency  Superefficiency  Scalarization  Lagrangian multiplier theorem  Superduality
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