The Riemannian two-step perturbed Gauss-Newton method for least squares inverse eigenvalue problems

Zhi Zhao, Xiao-qing Jin, Teng-Teng Yao. The Riemannian two-step perturbed Gauss-Newton method for least squares inverse eigenvalue problems. J. Computational Applied Mathematics, 405:113971, 2022. [doi]

@article{ZhaoJY22,
  title = {The Riemannian two-step perturbed Gauss-Newton method for least squares inverse eigenvalue problems},
  author = {Zhi Zhao and Xiao-qing Jin and Teng-Teng Yao},
  year = {2022},
  doi = {10.1016/j.cam.2021.113971},
  url = {https://doi.org/10.1016/j.cam.2021.113971},
  researchr = {https://researchr.org/publication/ZhaoJY22},
  cites = {0},
  citedby = {0},
  journal = {J. Computational Applied Mathematics},
  volume = {405},
  pages = {113971},
}