Combinatorial Optimization
Explore discrete structures; network algorithms; complexity and approximations. Concepts and connections are available independently of video coverage.
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Assignment problem
A costed one-to-one pairing can be optimized using matching or linear programming structure.
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Bipartite matching
Matching in a two-part graph pairs vertices across parts without shared endpoints.
Network flow models
Maximise flow through capacities; the min-cut theorem turns a bottleneck argument into a computable bound.
Approximation algorithms
An approximation algorithm provides a provable ratio to the optimum under stated assumptions.
Graph matchings
A matching is a set of edges with no shared endpoints.
Integer relaxations
Removing integrality yields easier problems whose optima can bound the discrete optimum.
Knowledge connections
- Bipartite matching · Related · Map context
- Network flow models · Related · Map context