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Optimization in Python
Optimization in Python
Part 1: Introduction to Optimization in Python - Pyomo and Gurobipy
Join UT INFORMS student chapter officer Brent Austgen for a tutorial in implementing math models with
Pyomo
and
Gurobipy
, two frameworks for implementing mathematical optimization models in
Python
. This introductory tutorial includes an overview of these frameworks, a walk-through of some examples, and Q&A.
The examples presented in this workshop are available at
this public Github repository
.
Part 2: Intermediate Pyomo - Networks, Jagged Sets, and Blocks
Join INFORMS student chapter member Brent Austgen for his follow-up Pyomo tutorial. Topics include models on graphs, handling of indexed sets, data integration, and block-based implementations.
The examples presented in this workshop are available at
this public Github repository
.
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