First- and Second-Order Asymptotic Analysis with Applications in Quasiconvex Optimization

F. Flores-Bazán*, N. Hadjisavvas, F. Lara, I. Montenegro

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

We use asymptotic analysis to describe in a more systematic way the behavior at the infinity of functions in the convex and quasiconvex case. Starting from the formulae for the first- and second-order asymptotic function in the convex case, we introduce similar notions suitable for dealing with quasiconvex functions. Afterward, by using such notions, a class of quasiconvex vector mappings under which the image of a closed convex set is closed, is introduced; we characterize the nonemptiness and boundedness of the set of minimizers of any lsc quasiconvex function; finally, we also characterize boundedness from below, along lines, of any proper and lsc function.

Original languageEnglish
Pages (from-to)372-393
Number of pages22
JournalJournal of Optimization Theory and Applications
Volume170
Issue number2
DOIs
StatePublished - 1 Aug 2016

Bibliographical note

Publisher Copyright:
© 2016, Springer Science+Business Media New York.

Keywords

  • Asymptotic functions
  • Nonconvex optimization
  • Optimality conditions
  • Quasiconvexity
  • Second-order asymptotic functions and cones

ASJC Scopus subject areas

  • Control and Optimization
  • Management Science and Operations Research
  • Applied Mathematics

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