On a stochastic column-block bregman method for nonlinear systems
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866910200325210112 |
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| author | Bao, Wendi Jiang, Naiyu Xing, Lili Li, Weiguo |
| author_facet | Bao, Wendi Jiang, Naiyu Xing, Lili Li, Weiguo |
| contents | Sparse solution problems play an important role in both signal processing and image restoration. In this paper, we propose a stochastic column-block nonlinear Bregman method for efficiently computing sparse solutions to nonlinear systems. Under certain assumptions, we analyze the convergence of the proposed method and derive an upper bound for its convergence rate. Numerical experiments, including an image recovery problem, are presented to illustrate the efficiency of the proposed method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_07136 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | On a stochastic column-block bregman method for nonlinear systems Bao, Wendi Jiang, Naiyu Xing, Lili Li, Weiguo Numerical Analysis Sparse solution problems play an important role in both signal processing and image restoration. In this paper, we propose a stochastic column-block nonlinear Bregman method for efficiently computing sparse solutions to nonlinear systems. Under certain assumptions, we analyze the convergence of the proposed method and derive an upper bound for its convergence rate. Numerical experiments, including an image recovery problem, are presented to illustrate the efficiency of the proposed method. |
| title | On a stochastic column-block bregman method for nonlinear systems |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2605.07136 |