TY - JOUR
T1 - Characterizations of nonconvex optimization problems via variational inequalities
AU - Lara, F.
N1 - Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - In this paper, we deal with two problems from the theory of nonconvex nonsmooth analysis; The characterization of nonsmooth quasiconvex functions, and connections between nonsmooth constraint optimization problems via variational inequalities. For the first problem, we provide different characterizations for nonsmooth quasiconvex functions, while for the second problem, a full connection between constraint optimization problems and Stampacchia and Minty variational inequalities is provided, in both cases, neither differentiability nor convexity nor continuity assumptions are considered. As a corollary, we recover well-known results from convex analysis.
AB - In this paper, we deal with two problems from the theory of nonconvex nonsmooth analysis; The characterization of nonsmooth quasiconvex functions, and connections between nonsmooth constraint optimization problems via variational inequalities. For the first problem, we provide different characterizations for nonsmooth quasiconvex functions, while for the second problem, a full connection between constraint optimization problems and Stampacchia and Minty variational inequalities is provided, in both cases, neither differentiability nor convexity nor continuity assumptions are considered. As a corollary, we recover well-known results from convex analysis.
KW - Minty variational inequalities
KW - Nonsmooth analysis
KW - Stampacchia variational inequalities
KW - nonconvex optimization
KW - quasiconvexity
UR - https://www.scopus.com/pages/publications/85097383249
U2 - 10.1080/02331934.2020.1857758
DO - 10.1080/02331934.2020.1857758
M3 - Article
AN - SCOPUS:85097383249
SN - 0233-1934
VL - 71
SP - 2471
EP - 2490
JO - Optimization
JF - Optimization
IS - 9
ER -