Strong subdifferentials: theory and applications in nonconvex optimization
A. Kabgani and
F. Lara ()
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A. Kabgani: Urmia University of Technology
F. Lara: Universidad de Tarapacá
Journal of Global Optimization, 2022, vol. 84, issue 2, No 4, 349-368
Abstract:
Abstract A new subdifferential for dealing with nonconvex functions is provided in the following paper and the usual properties are presented as well. Furthermore, characterizations and optimality conditions for a point to be a solution for the nonconvex minimization problem are given. In particular, new KKT-type optimality conditions for nonconvex nonsmooth constraint optimization problems are developed. Moreover, a relationship with the proximity operator for lower semicontinuous quasiconvex functions is given and, as a consequence, the nonemptiness of this subdifferential for large classes of quasiconvex functions is ensured.
Keywords: Nonconvex optimization; Nonsmooth optimization; Generalized convexity; KKT conditions; Proximal operators (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:jglopt:v:84:y:2022:i:2:d:10.1007_s10898-022-01149-9
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DOI: 10.1007/s10898-022-01149-9
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