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Title: A proximal bundle technique for solving equilibrium problems with inexact information
Authors: Feng, Y
Huang, M 
Zhang, S
Chao, X
Lin, S
Issue Date: 2024
Source: Institute of Physics Publishing
Abstract: In this study, we describe a bundle approach used to solve the nonsmooth equilibrium problems was described. Firstly, a general algorithm was considered, and the algorithm's validity was demonstrated by showing how it can provide a sequence that converges to an approximate solution for the equilibrium problem. Moreover, in this strategy, using the inaccurate value of the objective function and the approximate gradient of the adjacent points, a proximal bundle algorithm is created to solve equilibrium problems, and the inaccurate value makes the subproblem easy to solve and maintains convergence. So, we find a simpler way to solve the equilibrium problem.
Publisher: Journal of physics. Conference series
Journal: Journal of physics. Conference series 
ISSN: 1742-6588
EISSN: 1742-6596
DOI: 10.1088/1742-6596/2905/1/012006
Description: 2024 International Conference on Computational Modeling and Applied Mathematics August 2nd to 4th, 2024, in Dalian, China
Rights: Content from this work may be used under the terms of theCreative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd
The following publication Feng, Y., Huang, M., Zhang, S., Chao, X., & Lin, S. (2024). A proximal bundle technique for solving equilibrium problems with inexact information. Journal of Physics: Conference Series, 2905(1), 012006 is available at https://dx.doi.org/10.1088/1742-6596/2905/1/012006.
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