2021
DOI: 10.1007/s40314-021-01530-6
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A parallel monotone hybrid algorithm for a finite family of $$G-$$nonexpansive mappings in Hilbert spaces endowed with a graph applicable in signal recovery

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Cited by 17 publications
(18 citation statements)
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“…In the first part of the experiment, we investigate the behavior of our algorithm and then compare it with Algorithm 1 of Suantai et al [23] and Algorithm 2 of Suparatulatorn et al [24]. We select the signal size to be N = 4096 and M = 2048.…”
Section: Application To Signal Recovery Problemmentioning
confidence: 99%
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“…In the first part of the experiment, we investigate the behavior of our algorithm and then compare it with Algorithm 1 of Suantai et al [23] and Algorithm 2 of Suparatulatorn et al [24]. We select the signal size to be N = 4096 and M = 2048.…”
Section: Application To Signal Recovery Problemmentioning
confidence: 99%
“…These constraints can be reformulated using a nonlinear functional model. We are motivated to study common variational inclusion and common fixed point problems in this paper because the problem can be utilized to solve real-world problems such as signal recovery and image recovery problems with various blurred filters, see [23,25]. We also show that our problem can be applied for solving signal recovery with various blurred filters as shown in Section 4.…”
Section: Introductionmentioning
confidence: 96%
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“…Algorithm 1.1 Initialization: Let x 0 ∈ H 1 be arbitrary and x n+1 be recursively dened by ). Some interesting studies of the SCFP and the associated problems can be found in [6,13,14,15]. Kangtunyakarn [8] recently presented the General Split Feasibility Problem (GSFP) in which its aim is to determine a point, x, satisfying…”
Section: Introductionmentioning
confidence: 99%
“…Recently, there has been some research involving the parallel method for solving many problems. It is shown that the method can be applied in real-world problems such as image deblurring and related applications [15,16].…”
Section: Introductionmentioning
confidence: 99%