This is a book on linear optimization, used for graduate-level courses at the University of Michigan. The examples are written using Python/Gurobi.
Topics include:
- Modeling.
- Algebra versus geometry.
- The simplex algorithm.
- Duality.
- Sensitivity analysis.
- Large-scale linear optimization.
- Integer-linear optimization.
Textbook: A first course in linear optimization.
