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Strong subdifferentials: theory and applications in nonconvex optimization

  • Urmia University of Technology

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

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.

Original languageEnglish
Pages (from-to)349-368
Number of pages20
JournalJournal of Global Optimization
Volume84
Issue number2
DOIs
StatePublished - Oct 2022

Keywords

  • Generalized convexity
  • KKT conditions
  • Nonconvex optimization
  • Nonsmooth optimization
  • Proximal operators

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