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| Title: | A proximal bundle algorithm for solving generalized variational inequalities with inexact data | Authors: | Zhang, S Huang, M Feng, Y Lin, S Zhang, Y |
Issue Date: | 2024 | Source: | Institute of Physics Publishing | Abstract: | This paper proposes a proximal bundle algorithm based on the proximal point method for solving generalized variational inequalities with inexact data. First, the explanation of subgradient values and function inexactness is given. The algorithm's fundamental steps are then presented. Ultimately, the algorithm's convergence is confirmed under specific circumstances. | Publisher: | Journal of physics. Conference series | Journal: | Journal of physics. Conference series | ISSN: | 1742-6588 | EISSN: | 1742-6596 | DOI: | 10.1088/1742-6596/2905/1/012020 | 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 the Creative 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 Zhang, S., Huang, M., Feng, Y., Lin, S., & Zhang, Y. (2024). A proximal bundle algorithm for solving generalized variational inequalities with inexact data. Journal of Physics: Conference Series, 2905(1), 012020 is available at https://dx.doi.org/10.1088/1742-6596/2905/1/012020. |
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