Boundary of subdifferentials and calmness moduli in linear semi-infinite optimization
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2015Metadata
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Cánovas, M.
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Boundary of subdifferentials and calmness moduli in linear semi-infinite optimization
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Abstract
This paper was originally motivated by the problem of providing a point-based formula (only involving the nominal data, and not data in a neighborhood) for estimating the calmness modulus of the optimal set mapping in linear semi-infinite optimization under perturbations of all coefficients. With this aim in mind, the paper establishes as a key tool a basic result on finite-valued convex functions in the -dimensional Euclidean space. Specifically, this result provides an upper limit characterization of the boundary of the subdifferential of such a convex function. When applied to the supremum function associated with our constraint system, this characterization allows us to derive an upper estimate for the aimed calmness modulus in linear semi-infinite optimization under the uniqueness of nominal optimal solution.
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Fondecyt 1110019
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URI: https://repositorio.uchile.cl/handle/2250/132627
DOI: DOI: 10.1007/s11590-014-0767-1
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Optim Lett (2015) 9:513–521
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