An Efficient Gradient Method with Approximately Optimal Stepsize Based on Tensor Model for Unconstrained Optimization

Zexian Liu, Hongwei Liu. An Efficient Gradient Method with Approximately Optimal Stepsize Based on Tensor Model for Unconstrained Optimization. J. Optimization Theory and Applications, 181(2):608-633, 2019. [doi]

@article{LiuL19a-0,
  title = {An Efficient Gradient Method with Approximately Optimal Stepsize Based on Tensor Model for Unconstrained Optimization},
  author = {Zexian Liu and Hongwei Liu},
  year = {2019},
  doi = {10.1007/s10957-019-01475-1},
  url = {https://doi.org/10.1007/s10957-019-01475-1},
  researchr = {https://researchr.org/publication/LiuL19a-0},
  cites = {0},
  citedby = {0},
  journal = {J. Optimization Theory and Applications},
  volume = {181},
  number = {2},
  pages = {608-633},
}