An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units

Yankai Cao, Arpan Seth, Carl D. Laird. An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units. Computers & Chemical Engineering, 85:76-83, 2016. [doi]

@article{CaoSL16,
  title = {An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units},
  author = {Yankai Cao and Arpan Seth and Carl D. Laird},
  year = {2016},
  doi = {10.1016/j.compchemeng.2015.10.010},
  url = {http://dx.doi.org/10.1016/j.compchemeng.2015.10.010},
  researchr = {https://researchr.org/publication/CaoSL16},
  cites = {0},
  citedby = {0},
  journal = {Computers & Chemical Engineering},
  volume = {85},
  pages = {76-83},
}