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PreprintarXiv licencearXiv

A greedy double-block nonlinear Bregman-Kaczmarz method for nonlinear equations

Abstract

In this paper, we develop a greedy double-block nonlinear Bregman-Kaczmarz method to efficiently find sparse solutions of nonlinear equations. The theoretical convergence rate of the proposed method is established under certain assumptions. Numerical experiments illustrate the competitive performance and superiority of the proposed method.

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BibTeX
@misc{bao2026greedy,
  title = {{A greedy double-block nonlinear Bregman-Kaczmarz method for nonlinear equations}},
  author = {Wendi Bao and Jing Li and Lili Xing and Weiguo Li},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.15676},
  eprint = {2610.15676},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.15676},
}
RIS
TY  - UNPB
TI  - A greedy double-block nonlinear Bregman-Kaczmarz method for nonlinear equations
AU  - Wendi Bao
AU  - Jing Li
AU  - Lili Xing
AU  - Weiguo Li
PY  - 2026
DA  - 2026/10/11
PB  - arXiv
DO  - 10.48550/arxiv.2610.15676
UR  - https://arxiv.org/abs/2610.15676
AB  - In this paper, we develop a greedy double-block nonlinear Bregman-Kaczmarz method to efficiently find sparse solutions of nonlinear equations. The theoretical convergence rate of the proposed method is established under certain assumptions. Numerical experiments illustrate the competitive performance and superiority of the proposed method.
ER  -