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 |
Files in This Item:
There are no files associated with this item.
Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.