An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition

Jia Kang, Yankai Cao, Daniel P. Word, Carl D. Laird. An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition. Computers & Chemical Engineering, 71:563-573, 2014. [doi]

@article{KangCWL14,
  title = {An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition},
  author = {Jia Kang and Yankai Cao and Daniel P. Word and Carl D. Laird},
  year = {2014},
  doi = {10.1016/j.compchemeng.2014.09.013},
  url = {http://dx.doi.org/10.1016/j.compchemeng.2014.09.013},
  researchr = {https://researchr.org/publication/KangCWL14},
  cites = {0},
  citedby = {0},
  journal = {Computers & Chemical Engineering},
  volume = {71},
  pages = {563-573},
}