human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Improved Approximation Algorithms for the Facility Location Problems with Linear/submodular Penalty"
  Abstract: We consider the facility location problem with submodular penalty (FLPSP) and the facility location problem with linear penalty (FLPLP), two extensions of the classical facility location problem (FLP). First, we introduce a general algorithmic framework for a class of covering problems with submodular penalty, extending the recent result of Geunes et al. [11] with linear penalty. This framework leverages existing approximation results for the original covering problems to obtain corresponding results for their submodular penalty counterparts. Specifically, any LP-based α-approximation for the original covering problem can be leveraged to obtain an \(1/\left(1-e^{-1/\alpha}\right)\)-approximation algorithm for the counterpart with submodular penalty. Consequently, any LP-based approximation algorithm for the classical FLP (as a covering problem) can yield, via this framework, an approximation algorithm for the submodular penalty counterpart. Second, by exploiting some special properties of FLP, we present an LP rounding algorithm which has the currently best 2-approximation ratio over the previously best 2.50 by Hayrapetyan et al. [13] for the FLPSP and another LP rounding algorithm which has the currently best 1.5148-approximation ratio over the previously best 1.853 by Xu and Xu [27] for the FLPLP, respectively.

Connected through hyperedge HE-1 (induced by source paper "A new greedy approach for facility location problems"):
  with members:
    - "A Greedy Facility Location Algorithm Analyzed Using Dual Fitting"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science