A Quasiconvex Asymptotic Function with Applications in Optimization

  • Nicolas Hadjisavvas*
  • , Felipe Lara
  • , Juan Enrique Martínez-Legaz
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

We introduce a new asymptotic function, which is mainly adapted to quasiconvex functions. We establish several properties and calculus rules for this concept and compare it to previous notions of generalized asymptotic functions. Finally, we apply our new definition to quasiconvex optimization problems: we characterize the boundedness of the function, and the nonemptiness and compactness of the set of minimizers. We also provide a sufficient condition for the closedness of the image of a nonempty closed and convex set via a vector-valued function.

Original languageEnglish
Pages (from-to)170-186
Number of pages17
JournalJournal of Optimization Theory and Applications
Volume180
Issue number1
DOIs
StatePublished - 15 Jan 2019

Bibliographical note

Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • Asymptotic cones
  • Asymptotic functions
  • Closedness criteria
  • Nonconvex optimization
  • Quasiconvexity

ASJC Scopus subject areas

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

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