Comparison of open-source linear programming solvers.

By Jared L. Gearhart, K. Adair, Justin David Durfee, Nathaniel Martin, R. Detry. 2013

73 citations recorded by the source corpus.

How researchers see this paper

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

1. Matheus Guedes Vilas Boas
2. Mike Davies
3. Andreas Wild
4. L. Merschmann
5. Haroldo Gambini Santos
6. Greet Vanden Berghe
7. Garrick Orchard
8. Yulia Sandamirskaya

Citations in the corpus

• Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches (2019, background): “CLP is currently considered the fastest open source LP solver (Mittelmann, 2018; Gearhart et al., 2013).”
• Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook (2021, methodology): “10 We chose the Coin-or Branch and Cut (CBC) solver provided by COIN-OR projects 11 since, like the Loihi solver, it uses an incomplete energy minimizer and is among the best performing open-source linear programming solvers in a range of benchmarks [97].”