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Lecture
Optimal Decision Making: Applications of Discrete Optimization
Description
This lecture covers the concept of optimal decision making using discrete optimization, focusing on binary variables and their applications in practical problems. Topics include mixed-integer linear programming, the 0-1 knapsack problem, and modeling with binary variables. The instructor discusses LP relaxation, the strength of formulations, and modeling with exponentially many constraints.
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