Continuing with the theme of combinatorial optimization and approximate algorithms, Stephen presented a simple approximate greedy algorithm for optimizing monotone, submodular set functions.

An example problem is the NP-hard set cover problem or optimal sensor placement.

For more on submodularity, see these lecture notes or my personal notes.

Previous: Approximate algorithms for metric traveling salesman

Brian presented on combinatorial optimization, specifically, some approximation algorithms for the (metric) traveling salesman problem.

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