A modified parallel monotone hybrid algorithm for a finite family of $\mathcal{G}$-nonexpansive mappings apply to a novel signal recovery
نویسندگان
چکیده
In this work, we investigate the strong convergence of sequences generated by shrinking projection method and parallel monotone hybrid to find a common fixed point finite family $\mathcal{G}$-nonexpansive mappings under suitable conditions in Hilbert spaces endowed with graphs. We also give some numerical examples provide application signal recovery situation without knowing type noises. Moreover, experiments our algorithms which are defined different types blurred matrices noises on algorithm show efficiency implementation for LASSO problem recovery.
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ژورنال
عنوان ژورنال: Results in nonlinear analysis
سال: 2022
ISSN: ['2636-7556']
DOI: https://doi.org/10.53006/rna.1122092