TY - JOUR
T1 - A general asymptotic function with applications in nonconvex optimization
AU - Hadjisavvas, Nicolas
AU - Lara, Felipe
AU - Luc, Dinh The
N1 - Publisher Copyright:
© 2020, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - We introduce a new concept of asymptotic functions which allows us to simultaneously study convex and concave functions as well as quasiconvex and quasiconcave functions. We provide some calculus rules and most relevant properties of the new asymptotic functions for application purpose. We also compare them with the classical asymptotic functions of convex analysis. By using the new concept of asymptotic functions we establish sufficient conditions for the nonemptiness and for the boundedness of the solution set of quasiconvex minimization problems and quasiconcave maximization problems. Applications are given for quadratic and fractional quadratic problems.
AB - We introduce a new concept of asymptotic functions which allows us to simultaneously study convex and concave functions as well as quasiconvex and quasiconcave functions. We provide some calculus rules and most relevant properties of the new asymptotic functions for application purpose. We also compare them with the classical asymptotic functions of convex analysis. By using the new concept of asymptotic functions we establish sufficient conditions for the nonemptiness and for the boundedness of the solution set of quasiconvex minimization problems and quasiconcave maximization problems. Applications are given for quadratic and fractional quadratic problems.
KW - Asymptotic functions
KW - Nonconvex optimization
KW - Quasiconvex functions
UR - https://www.scopus.com/pages/publications/85088776142
U2 - 10.1007/s10898-020-00891-2
DO - 10.1007/s10898-020-00891-2
M3 - Article
AN - SCOPUS:85088776142
SN - 0925-5001
VL - 78
SP - 49
EP - 68
JO - Journal of Global Optimization
JF - Journal of Global Optimization
IS - 1
ER -