A new iterative scheme using inertial technique for the split feasibility problem with application to compressed sensing

Suparat Kesornprom, Prasit Cholamjiak

Authors

  • Support Team

Keywords:

split feasibility problem, compressed sensing, CQ algorithm, Hilbert spaces

Abstract

In this work, we suggest iterative methods by using inertial term for solving splitfeasibility problem in real Hilbert spaces. We provide weak and strong convergence theoremsunder mild conditions. Finally, we apply our main result to signal recovery and give acomparison to other algorithms.

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Published

2020-03-01

How to Cite

Team, S. (2020). A new iterative scheme using inertial technique for the split feasibility problem with application to compressed sensing: Suparat Kesornprom, Prasit Cholamjiak. Thai Journal of Mathematics, 18(1), 315–332. Retrieved from https://thaijmath2.in.cmu.ac.th/index.php/thaijmath/article/view/1000