mathematical optimization

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.
Friday, February 26, 2016 - 1:25pm - 2:25pm
Mihai Anitescu (Argonne National Laboratory)

The electrical power grid (the electricity transmission and distribution system) is one of the greatest and most complex engineering achievements of the 20th century. However, it is also at the center of massive changes in the way we create and consume energy that are brought about by many drivers, including an increasing usage of renewable energy and natural gas. Moreover, it exhibits persistent conceptual difficulties that, while generally successfully contained by engineering practice, have never been fully resolved.

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