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A perturbational duality approach in vector optimization (1807.02666v1)
Published 7 Jul 2018 in math.OC
Abstract: A perturbational vector duality approach for objective functions $f\colon X\to \bar{L}0$ is developed, where $X$ is a Banach space and $\bar{L}0$ is the space of extended real valued functions on a measure space, which extends the perturbational approach from the scalar case. The corresponding strong duality statement is proved under a closedness type regularity condition. Optimality conditions and a Moreau-Rockafellar type formula are provided. The results are specialized for constrained and unconstrained problems. Examples of integral operators and risk measures are discussed.