TY - JOUR
T1 - First- and Second-Order Asymptotic Analysis with Applications in Quasiconvex Optimization
AU - Flores-Bazán, F.
AU - Hadjisavvas, N.
AU - Lara, F.
AU - Montenegro, I.
N1 - Publisher Copyright:
© 2016, Springer Science+Business Media New York.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - 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.
AB - 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.
KW - Asymptotic functions
KW - Nonconvex optimization
KW - Optimality conditions
KW - Quasiconvexity
KW - Second-order asymptotic functions and cones
UR - https://www.scopus.com/pages/publications/84964529916
U2 - 10.1007/s10957-016-0938-6
DO - 10.1007/s10957-016-0938-6
M3 - Article
AN - SCOPUS:84964529916
SN - 0022-3239
VL - 170
SP - 372
EP - 393
JO - Journal of Optimization Theory and Applications
JF - Journal of Optimization Theory and Applications
IS - 2
ER -