An efficient conjugate gradient-based algorithm for unconstrained optimization and its projection extension to large-scale constrained nonlinear equations with applications in signal recovery and image denoising problems

Xiaoyu Wu, Hu Shao, Pengjie Liu, Yan Zhang, Yue Zhuo. An efficient conjugate gradient-based algorithm for unconstrained optimization and its projection extension to large-scale constrained nonlinear equations with applications in signal recovery and image denoising problems. J. Computational Applied Mathematics, 422:114879, 2023. [doi]

@article{WuSLZZ23,
  title = {An efficient conjugate gradient-based algorithm for unconstrained optimization and its projection extension to large-scale constrained nonlinear equations with applications in signal recovery and image denoising problems},
  author = {Xiaoyu Wu and Hu Shao and Pengjie Liu and Yan Zhang and Yue Zhuo},
  year = {2023},
  doi = {10.1016/j.cam.2022.114879},
  url = {https://doi.org/10.1016/j.cam.2022.114879},
  researchr = {https://researchr.org/publication/WuSLZZ23},
  cites = {0},
  citedby = {0},
  journal = {J. Computational Applied Mathematics},
  volume = {422},
  pages = {114879},
}