An inertial parallel CQ subgradient extragradient method for variational inequalities application to signal-image recovery


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Authors

  • Ponkamon Kitisak
  • Watcharaporn Cholamjiak
  • Damrongsak Yambangwai

Keywords:

CQ algorithm Subgradient extragradient method Parallel algorithm Signal recovery Image restoration.

Abstract

In this paper, we introduce an inertial parallel CQ subgradient extragradient method for Finding a common solutions of variational inequality problems. The novelty of this paper is using linesearch methods to find unknown L constant of L-Lipschitz continuous mappings. Strong convergence theorem has been proved under some suitable conditions in Hilbert spaces. Finally, we show applications to signal and image recovery, and show the good efficiency of our proposed algorithm when the number of subproblems is increasing.

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Published

2022-11-07

How to Cite

Ponkamon Kitisak, Watcharaporn Cholamjiak, & Damrongsak Yambangwai. (2022). An inertial parallel CQ subgradient extragradient method for variational inequalities application to signal-image recovery. Results in Nonlinear Analysis, 4(4), 217–234. Retrieved from https://nonlinear-analysis.com/index.php/pub/article/view/79