Optimal Decision Making: Applications of Discrete Optimization

In course

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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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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_a2e5ir08

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Ontological neighbourhood

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

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