"Model Building in Mathematical Programming" by H.P. Williams is a classic text in math programming that covers general modeling principles and a wide variety of industrial applications. Below are links to Jupyter notebooks that discuss and build example models from this text:
- 3D Tic-Tac-Toe
- Agricultural Pricing
- Constraint Optimization
- Curve Fitting
- Decentralization Planning
- Economic Planning
- Efficiency Analysis
- Electrical Power Generation
- Factory Planning
- Farm Planning
- Food Manufacturing
- Logical Design
- Lost Luggage Distribution
- Manpower Planning
- Market Sharing
- Milk Collection
- Mining Optimization
- Open-Cast Mining
- Protein Comparison
- Protein Folding
- Refinery Planning
- Supply Network Design
- Yield Management
A list of other useful books and blogs is provided in the Resources section of the Gurobi website.
For a Python-based introduction to formulating mixed-integer programming (MIP) problems, please see the Jupyter notebook Introduction to Mathematical Optimization.
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