The Set Cover Problem is a classical question in computer science and combinatorial optimization, where the goal is to find the smallest sub-collection of sets from a given collection that covers all elements in a universe. It is NP-hard, meaning there is no known polynomial-time algorithm to solve all instances of this problem efficiently, making it a central topic in the study of approximation algorithms.