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.
Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces / Shehu, Y.; Gibali, A.; Sagratella, S.. - In: JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS. - ISSN 0022-3239. - 184:3(2020), pp. 877-894. [10.1007/s10957-019-01616-6]
Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces
Sagratella S.
2020
Abstract
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.| File | Dimensione | Formato | |
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