An Efficient Inertial Type Iterative Algorithm to Approximate the Solutions of Quasi Variational Inequalities in Real Hilbert Spaces
Küçük Resim Yok
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer/Plenum Publishers
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this article, we design a projection type iterative algorithm with two inertial steps for solving quasi-variational inequalities with Lipschitz continuous and strongly monotone mappings in real Hilbert spaces. We establish different strong convergence results through this algorithm. We give a non-trivial example to validate one of our results and to illustrate the efficiency of the proposed algorithm compared with an already existing one. We also present some numerical experiments to demonstrate the potential applicability and computing performance of our algorithm compared with some other algorithms existing in the literature. The results obtained herein are generalizations and substantial improvements of some earlier results.
Açıklama
Anahtar Kelimeler
Quasi-Variational Inequalities, Inertial Projection-Type Method, Strong Monotonicity, Lipschitz Continuous, Hilbert Spaces, Convergence
Kaynak
Journal Of Scientific Computing
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
89
Sayı
2
