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dc.contributor.author Correa, R
dc.contributor.author Hantoute, A
dc.contributor.author López-Cerdá, MA
dc.date.accessioned 2024-01-17T15:54:59Z
dc.date.available 2024-01-17T15:54:59Z
dc.date.issued 2019
dc.identifier.uri https://repositorio.uoh.cl/handle/611/679
dc.description.abstract We characterize the subdifferential of the supremum function of finitely and infinitely indexed families of convex functions. The main contribution of this paper consists of providing formulas for such a subdifferential under weak continuity assumptions. The resulting formulas are given in terms of the exact subdifferential of the data functions at the reference point, and not at nearby points as in [Valadier, C. R. Math. Acad. Sci. Paris, 268 (1969), pp. 39-42]. We also derive new Fritz John-and KKT-type optimality conditions for semi-infinite convex optimization, omitting the continuity/closedness assumptions in [Dinh et al., ESAIM Control Optim. Calc. Var., 13 (2007), pp. 580-597]. When the family of functions is finite, we use continuity conditions concerning only the active functions, and not all the data functions as in [Rockafellar, Proc. Lond. Math. Soc. (3), 39 (1979), pp. 331-355; Volle, Acta Math. Vietnam., 19 (1994), pp. 137-148].
dc.description.sponsorship CONICYT(Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT))
dc.description.sponsorship MINECO of Spain(Spanish Government)
dc.description.sponsorship FEDER of EU(European Union (EU))
dc.description.sponsorship Australian Research Council(Australian Research Council)
dc.relation.uri http://dx.doi.org/10.1137/18M1169370
dc.subject supremum function
dc.subject convex functions
dc.subject subdifferential calculus rules
dc.subject qualification conditions
dc.title MOREAU-ROCKAFELLAR-TYPE formulas for the subdifferential of the supremum function
dc.type Artículo
uoh.revista SIAM JOURNAL ON OPTIMIZATION
dc.identifier.doi 10.1137/18M1169370
dc.citation.volume 29
dc.citation.issue 2
dc.identifier.orcid Cerdá, Marco A. A López/0000-0002-0619-9618
uoh.indizacion Web of Science


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