Tuesday, October 15, 2019 - 1:45pm - 2:30pm
Frank Ong (Stanford University)
Slides and jupyter notebooks are available at
Monday, August 21, 2017 - 2:45pm - 3:30pm
Ted Ralphs (Lehigh University)
In this talk, we describe a range of tools available for modeling and solving mathematical optimization problems in Python. The tools range from high-level Python-based modeling languages to low-level solver APIs for passing optimization problem data directly to solvers. Examples and code snippets will be given to illustrate the use of these tools. All tools described are available open source in the Computational Infrastructure for Operations Research (COIN-OR) repository.
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