Abstract
In order to solve variational inequality problems for which the cost operator is quasimonotone and Lipschitz continuous in real Hilbert spaces, we propose a new double inertial subgradient extragradient method. The new method involves double inertial extrapolation steps and a self-adaptive step size. The weak convergence result of our method is established under some mild assumptions. The advantages of our method over many existing methods are illustrated via numerical experiments. Finally, we apply our results to an image restoration problem.
Original language | English |
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Pages (from-to) | 2074-2090 |
Number of pages | 17 |
Journal | Journal of Industrial and Management Optimization |
Volume | 21 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2025 |
Keywords
- image restoration problem
- inertial term
- iterative method
- subgradient extragradient
- Variational inequality problem