Another hybrid approach for solving monotone operator equations and application to signal processing

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Author listPoom Kumam, Auwal Bala Abubakar, Abdulkarim Hassan Ibrahim, Hamza Umar Kura,Bancha Panyanak
Nuttapol Pakkaranang

PublisherWiley

Publication year2022

JournalMathematical Methods in the Applied Sciences (0170-4214)

Volume number45

Issue number12

Start page7897

End page7922

Number of pages26

ISSN0170-4214

eISSN1099-1476

URLhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85128411521&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/72903


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Abstract

This paper presents a hybrid conjugate gradient (CG) approach for solving nonlinear equations and signal reconstruction. The CG parameter of the approach is a convex combination of the Dai-Yuan (DY)-like and Hestenes-Stiefel (HS)-like parameters. Independent of any line search, the search direction is descent and bounded. Under some reasonable assumptions, the global convergence of the hybrid approach is proved. Numerical experiments on some benchmark test problems show that the proposed approach is efficient compared with some existing algorithms. Finally, the proposed approach is applied in signal reconstruction.


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Last updated on 2023-18-10 at 07:45