Linear and integer optimization: Theory and practice

By G. Sierksma, Yori Zwols. 2015

51 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e1cb860fadc69f1200c496b8a3eb9432be2d1e1c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yoshua Bengio
2. Sergey Levine
3. Ruslan Salakhutdinov
4. Abhinav Kumar Gupta
5. Trevor Darrell
6. Dacheng Tao
7. Zhe Gan
8. Quoc V. Le

Citations in the corpus

• Solving Mixed Integer Programs Using Neural Networks (2020, background): “O C ] 2 3 Ju l 2 02 1 of applications such as capacity planning, resource allocation, bin packing, etc. (Taha 2014, Jünger et al. 2009, Sierksma and Zwols 2015).”
• Prescriptive analytics: Literature review and research challenges (2020, unknown): “Linear programming is a technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints (Sierksma & Zwols, 2015).”