human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "polynomial factorization is simple and helpful more so than it seems to be"
  Abstract: Univariate polynomial root-finding has been studied for four millennia, still stays important for modern computations, and remains the subject of intensive research. Hundreds if not thousands efficient polynomial root-finders have been proposed and analyzed. One of them, proposed in 1995, solves this problem within a nearly optimal time bound, that is, nearly as fast as one can access the input coefficients. It also solves (and also within a nearly optimal time bound) the related problem of approximate polynomial factorization, which has a number of other important applications besides root-finding. The algorithm, however, is much involved, not transparent, and hard to implement. By using its factorization techniques, however, we substantially improve the known efficient polynomial root-finders that rely on subdivision or on functional iterations.

Connected through hyperedge HE-1 (induced by source paper "new practical advances in polynomial root clustering"):
  with members:
    - "implementation of a near optimal complex root clustering algorithm"
    - "computing real roots of real polynomials and now for real"
    - "a near optimal subdivision algorithm for complex root isolation based on the pellet test and newton iteration"
    - "computing real roots of real polynomials"

Connected through hyperedge HE-2 (induced by source paper "polynomial root clustering and explicit deflation"):
  with members:
    - "computing real roots of real polynomials and now for real"
    - "computing real roots of real polynomials"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.NA(Numerical Analysis)