Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/73069
Title: An inertial parallel algorithm for a finite family of g-nonexpansive mappings applied to signal recovery
Authors: Nipa Jun-On
Raweerote Suparatulatorn
Mohamed Gamal
Watcharaporn Cholamjiak
Authors: Nipa Jun-On
Raweerote Suparatulatorn
Mohamed Gamal
Watcharaporn Cholamjiak
Keywords: Mathematics
Issue Date: 1-Jan-2022
Abstract: This study investigates the weak convergence of the sequences generated by the inertial technique combining the parallel monotone hybrid method for finding a common fixed point of a finite family of G-nonexpansive mappings under suitable conditions in Hilbert spaces endowed with graphs. Some numerical examples are also presented, providing applications to signal recovery under situations without knowing the type of noises. Besides, numerical experiments of the proposed algorithms, defined by different types of blurred matrices and noises on the algorithm, are able to show the efficiency and the implementation for LASSO problem in signal recovery.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85118279366&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/73069
ISSN: 24736988
Appears in Collections:CMUL: Journal Articles

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