Adaptive Tseng’s Type Methods for Inclusion and Signal Processing

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Published: Dec 31, 2022
Keywords:
Inclusion problem Tseng’s type method Signal processing

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Duangkamon Kitkuan
Department of Mathematics, Faculty of Science and Technology, Rambhai Barni Rajabhat University, Chanthaburi 22000, Thailand
Anantachai Padcharoen
Department of Mathematics, Faculty of Science and Technology, Rambhai Barni Rajabhat University, Chanthaburi 22000, Thailand
Naknimit Akkasriworn
Department of Mathematics, Faculty of Science and Technology, Rambhai Barni Rajabhat University, Chanthaburi 22000, Thailand

Abstract

This research presents a new non-monotone adaptive step size for Tseng’s type method to solve the monotone inclusion problem. The results were applied to the problem of convex minimization and signal processing, using a basic assumption, numerical testing, and comparisons with other operations to show that the recommended operation was weakly and strongly convergent.

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How to Cite
Kitkuan, D., Padcharoen, A., & Akkasriworn, N. (2022). Adaptive Tseng’s Type Methods for Inclusion and Signal Processing. Science & Technology Asia, 27(4), 175–194. retrieved from https://ph02.tci-thaijo.org/index.php/SciTechAsia/article/view/247906
Issue
Vol.27 No.4 (October-December 2022)
Section
Physical sciences
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