Piecewise Linearization of Bivariate Nonlinear Functions: Minimizing the Number of Pieces Under a Bounded Approximation Error

Aloïs Duguet, Sandra Ulrich Ngueveu. Piecewise Linearization of Bivariate Nonlinear Functions: Minimizing the Number of Pieces Under a Bounded Approximation Error. In Ivana Ljubic, Francisco Barahona, Santanu S. Dey, Ali Ridha Mahjoub, editors, Combinatorial Optimization - 7th International Symposium, ISCO 2022, Virtual Event, May 18-20, 2022, Revised Selected Papers. Volume 13526 of Lecture Notes in Computer Science, pages 117-129, Springer, 2022. [doi]

@inproceedings{DuguetN22,
  title = {Piecewise Linearization of Bivariate Nonlinear Functions: Minimizing the Number of Pieces Under a Bounded Approximation Error},
  author = {Aloïs Duguet and Sandra Ulrich Ngueveu},
  year = {2022},
  doi = {10.1007/978-3-031-18530-4_9},
  url = {https://doi.org/10.1007/978-3-031-18530-4_9},
  researchr = {https://researchr.org/publication/DuguetN22},
  cites = {0},
  citedby = {0},
  pages = {117-129},
  booktitle = {Combinatorial Optimization - 7th International Symposium, ISCO 2022, Virtual Event, May 18-20, 2022, Revised Selected Papers},
  editor = {Ivana Ljubic and Francisco Barahona and Santanu S. Dey and Ali Ridha Mahjoub},
  volume = {13526},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-18530-4},
}