TY - JOUR
T1 - Solving Mixed Variational Inequalities Beyond Convexity
AU - Grad, Sorin Mihai
AU - Lara, Felipe
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/8
Y1 - 2021/8
N2 - We show that Malitsky’s recent Golden Ratio Algorithm for solving convex mixed variational inequalities can be employed in a certain nonconvex framework as well, making it probably the first iterative method in the literature for solving generalized convex mixed variational inequalities, and illustrate this result by numerical experiments.
AB - We show that Malitsky’s recent Golden Ratio Algorithm for solving convex mixed variational inequalities can be employed in a certain nonconvex framework as well, making it probably the first iterative method in the literature for solving generalized convex mixed variational inequalities, and illustrate this result by numerical experiments.
KW - Golden Ratio Algorithms
KW - Proximal point algorithms
KW - Quasiconvex functions
KW - Variational inequalities
UR - https://www.scopus.com/pages/publications/85112143002
U2 - 10.1007/s10957-021-01860-9
DO - 10.1007/s10957-021-01860-9
M3 - Article
AN - SCOPUS:85112143002
SN - 0022-3239
VL - 190
SP - 565
EP - 580
JO - Journal of Optimization Theory and Applications
JF - Journal of Optimization Theory and Applications
IS - 2
ER -