Adaptive Tseng’s Type Methods for Inclusion and Signal Processing

Authors

  • 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

Keywords:

Inclusion problem, Tseng’s type method, Signal processing

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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Published

2022-12-31

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

License

Copyright (c) 2022 Science & Technology Asia

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.