A Gradient-Based Globalization Strategy for the Newton Method

Daniela di Serafino, Gerardo Toraldo, Marco Viola. A Gradient-Based Globalization Strategy for the Newton Method. In Yaroslav D. Sergeyev, Dmitri E. Kvasov, editors, Numerical Computations: Theory and Algorithms - Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers, Part I. Volume 11973 of Lecture Notes in Computer Science, pages 177-185, Springer, 2019. [doi]

@inproceedings{SerafinoTV19,
  title = {A Gradient-Based Globalization Strategy for the Newton Method},
  author = {Daniela di Serafino and Gerardo Toraldo and Marco Viola},
  year = {2019},
  doi = {10.1007/978-3-030-39081-5_16},
  url = {https://doi.org/10.1007/978-3-030-39081-5_16},
  researchr = {https://researchr.org/publication/SerafinoTV19},
  cites = {0},
  citedby = {0},
  pages = {177-185},
  booktitle = {Numerical Computations: Theory and Algorithms - Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers, Part I},
  editor = {Yaroslav D. Sergeyev and Dmitri E. Kvasov},
  volume = {11973},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-39081-5},
}