Resolvent dynamical systems and mixed variational inequalities
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Authors
Bandar Bin-Mohsin
- Department of Mathematics, King Saud University, Riyadh, Saudi Arabia.
Muhammad Aslam Noor
- Department of Mathematics, King Saud University, Riyadh, Saudi Arabia.
- Department of Mathematics, COMSATS Institute of Information Technology, Islamabad, Pakistan.
Khalida Inayat Noor
- Department of Mathematics, COMSATS Institute of Information Technology, Islamabad, Pakistan.
Rafia Latif
- Department of Mathematics, COMSATS Institute of Information Technology, Islamabad, Pakistan.
Abstract
In this paper, we use the dynamical systems technique to suggest and investigate some inertial proximal methods for solving
mixed variational inequalities and related optimization problems. It is proved that the convergence analysis of the proposed
methods requires only the monotonicity. Some special cases are also considered. Our method of proof is very simple as
compared with other techniques. Ideas and techniques of this paper may be extended for other classes of variational inequalities
and equilibrium problems.
Share and Cite
ISRP Style
Bandar Bin-Mohsin, Muhammad Aslam Noor, Khalida Inayat Noor, Rafia Latif, Resolvent dynamical systems and mixed variational inequalities, Journal of Nonlinear Sciences and Applications, 10 (2017), no. 6, 2925--2933
AMA Style
Bin-Mohsin Bandar, Noor Muhammad Aslam, Noor Khalida Inayat, Latif Rafia, Resolvent dynamical systems and mixed variational inequalities. J. Nonlinear Sci. Appl. (2017); 10(6):2925--2933
Chicago/Turabian Style
Bin-Mohsin, Bandar, Noor, Muhammad Aslam, Noor, Khalida Inayat, Latif, Rafia. "Resolvent dynamical systems and mixed variational inequalities." Journal of Nonlinear Sciences and Applications, 10, no. 6 (2017): 2925--2933
Keywords
- Variational inequalities
- dynamical systems
- inertial proximal methods
- convergence.
MSC
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