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 language | English |
|---|---|
| Pages (from-to) | 372-393 |
| Number of pages | 22 |
| Journal | Journal of Optimization Theory and Applications |
| Volume | 170 |
| Issue number | 2 |
| DOIs | |
| State | Published - 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