A relaxed proximal point algorithm with double-inertial effects for nonconvex equilibrium problems
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866916617440460800 |
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| author | Van Tran, Nam |
| author_facet | Van Tran, Nam |
| contents | In this paper, we present a relaxation proximal point method with double inertial effects to approximate a solution of a non-convex equilibrium problem. We give global
convergence results of the iterative sequence generated by our algorithm. Some known results are recovered
as special cases of our results. Numerical test is given to support the theoretical findings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_10986 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A relaxed proximal point algorithm with double-inertial effects for nonconvex equilibrium problems Van Tran, Nam Optimization and Control In this paper, we present a relaxation proximal point method with double inertial effects to approximate a solution of a non-convex equilibrium problem. We give global convergence results of the iterative sequence generated by our algorithm. Some known results are recovered as special cases of our results. Numerical test is given to support the theoretical findings. |
| title | A relaxed proximal point algorithm with double-inertial effects for nonconvex equilibrium problems |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2502.10986 |