Abstract
This paper presents a new sufficiently descent algorithm for system of nonlinear equations where the underlying operator is pseudomonotone. The conditions imposed on the proposed algorithm to achieve convergence are Lipschitz continuity and pseudomonotonicity which is weaker than monotonicity assumption forced upon many algorithms in this area found in the literature. Numerical experiments on selected test problems taken from the literature validate the efficiency of the new algorithm. Moreover, the new algorithm demonstrates superior performance in comparison with some existing algorithms. Furthermore, the proposed algorithm is applied to reconstruct some disturbed signals.
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Data Availability
The MATLAB codes for the implementation of the proposed algorithm are available upon request.
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Acknowledgements
The authors would like to the Department of Mathematics, Khon Kaen University for allowing us their facilities. Also, the authors would like to thank the reviewers and the editors for their valuable suggestions which improved the earlier version of this paper.
Funding
This research was supported by the Postdoctoral Researcher Fellowship Training Program from Khon Kaen University (Grant No. PD2566-10).
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Appendix
Appendix
1.1 List of test problems
We use the following system of nonlinear equation for the experiments in Section 3 where \(Q(a)=(q_1(a),q_2(a),\ldots ,q_n(a))^T\) and \(a=(a_1, a_2,\ldots , a_n)^T.\)
Problem 5.1
[36]
Problem 5.2
Logarithmic function [36]
Problem 5.3
[37]
Problem 5.4
[38]
Problem 5.5
[39]
Problem 5.6
Problem 5.7
[40]
Problem 5.8
Problem 5.9
Tridiagonal exponential problem [41]
Problem 5.10
Problem 5.11
Problem 5.12
Problem 5.13
Problem 76 in [41]
Problem 5.14
Nonsmooth IVP problem
Problem 5.15
Problem 5.16
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Awwal, A.M., Botmart, T. A new sufficiently descent algorithm for pseudomonotone nonlinear operator equations and signal reconstruction. Numer Algor 94, 1125–1158 (2023). https://doi.org/10.1007/s11075-023-01530-z
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DOI: https://doi.org/10.1007/s11075-023-01530-z