Tightening McCormick Relaxations for Nonlinear Programs via Dynamic Multivariate Partitioning

Harsha Nagarajan, Mowen Lu, Emre Yamangil, Russell Bent. Tightening McCormick Relaxations for Nonlinear Programs via Dynamic Multivariate Partitioning. In Michel Rueher, editor, Principles and Practice of Constraint Programming - 22nd International Conference, CP 2016, Toulouse, France, September 5-9, 2016, Proceedings. Volume 9892 of Lecture Notes in Computer Science, pages 369-387, Springer, 2016. [doi]

@inproceedings{NagarajanLYB16,
  title = {Tightening McCormick Relaxations for Nonlinear Programs via Dynamic Multivariate Partitioning},
  author = {Harsha Nagarajan and Mowen Lu and Emre Yamangil and Russell Bent},
  year = {2016},
  doi = {10.1007/978-3-319-44953-1_24},
  url = {http://dx.doi.org/10.1007/978-3-319-44953-1_24},
  researchr = {https://researchr.org/publication/NagarajanLYB16},
  cites = {0},
  citedby = {0},
  pages = {369-387},
  booktitle = {Principles and Practice of Constraint Programming - 22nd International Conference, CP 2016, Toulouse, France, September 5-9, 2016, Proceedings},
  editor = {Michel Rueher},
  volume = {9892},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-44952-4},
}