A new sufficiently descent algorithm for pseudomonotone nonlinear operator equations and signal reconstruction
Author:
Funder
Khon Kaen University
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s11075-023-01530-z.pdf
Reference41 articles.
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2. Mohammad, H., Awwal, A.M.: Globally convergent diagonal Polak–Ribière–Polyak like algorithm for nonlinear equations. Numer. Algo. 1–20 (2022)
3. Waziri, M.Y., Ahmed, K., Halilu, A.S.: A modified Dai-Kou-type method with applications to signal reconstruction and blurred image restoration. Comput. Appl. Math. 41(6), 1–33 (2022)
4. Awwal, A.M., Kumam, P., Wang, L., Huang, S., Kumam, W.: Inertial-based derivative-free method for system of monotone nonlinear equations and application. IEEE Access 8, 226921–226930 (2020)
5. Xiao, Y., Zhu, H.: A conjugate gradient method to solve convex constrained monotone equations with applications in compressive sensing. J. Math. Anal. Appl. 405(1), 310–319 (2013)
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