Intro to Algorithms
The set cover problem is a classic optimization problem where the goal is to cover a universal set with the minimum number of subsets from a collection, ensuring every element in the universal set is included at least once. This problem arises in various applications such as resource allocation, network design, and data clustering. It is known to be NP-hard, meaning there is no known efficient algorithm to solve all instances of this problem optimally.
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