Approximation of quasiconvex functions by neatly quasiconvex functions

Suliman Al-Homidan, Loai Shaalan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A local minimum of a quasiconvex function is not necessarily a global minimum. In this paper, we show that every lower semicontinuous quasiconvex function can be approximated uniformly by a sequence of quasiconvex functions for which every local minimum is a global minimum. We also study the continuity of the functions appearing in a recently obtained decomposition of quasiconvex functions.

Original languageEnglish
Pages (from-to)979-989
Number of pages11
JournalOptimization Letters
Volume15
Issue number3
DOIs
StatePublished - Apr 2021

Bibliographical note

Publisher Copyright:
© 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

  • Adjusted sublevel sets
  • Neatly quasiconvex function
  • Quasiconvex function
  • Quasiconvex optimization

ASJC Scopus subject areas

  • Control and Optimization

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