In this paper, we introduce an inertial projection-type method with different updating strategies for solving quasi-variational inequalities with strongly monotone and Lipschitz continuous operators in real Hilbert spaces. Under standard assumptions, we establish different strong convergence results for the proposed algorithm. Primary numerical experiments demonstrate the potential applicability of our scheme compared with some related methods in the literature.
2020, JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, Pages 877-894 (volume: 184)
Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces (01a Articolo in rivista)
Shehu Y., Gibali A., Sagratella S.
Gruppo di ricerca: Continuous Optimization