Abstract
An acceleration strategy via relaxation technique is incorporated in a viscosity-type method to approximate solutions of monotone inclusion problems that are fixed points of a nonexpansive operator. The iterates of the algorithm is proved to converge strongly in the setting of real Hilbert spaces. Furthermore, applications of the theorems to compressed sensing problems and a numerical implementation of the proposed methods in \(L_2([0,1])\) are presented.
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Acknowledgements
The authors would like to thank the anonymous referees for their esteemed comments and suggestions. This research was funded by National Science, Research and Innovation Fund (NSRF) and King Mongkut’s University of Technology North Bangkok with Contract no. KMUTNB-FF-65-60. The third and fourth authors acknowledge with thanks, the Department of Mathematics and Applied Mathematics at the Sefako Makgatho Health Sciences University.
Funding
This research was funded by National Science, Research and Innovation Fund (NSRF) and King Mongkut’s University of Technology North Bangkok with Contract no. KMUTNB-FF-65-60.
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Deepho, J., Adamu, A., Ibrahim, A.H. et al. Relaxed viscosity-type iterative methods with application to compressed sensing. J Anal 31, 1987–2003 (2023). https://doi.org/10.1007/s41478-022-00547-2
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DOI: https://doi.org/10.1007/s41478-022-00547-2