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: "lu factorization with panel rank revealing pivoting and its communication avoiding version"
  Abstract: We present the LU decomposition with panel rank revealing pivoting (LU_PRRP), an LU factorization algorithm based on strong rank revealing QR panel factorization. LU_PRRP is more stable than Gaussian elimination with partial pivoting (GEPP). Our extensive numerical experiments show that the new factorization scheme is as numerically stable as GEPP in practice, but it is more resistant to pathological cases and easily solves the Wilkinson matrix and the Foster matrix. We also present CALU_PRRP, a communication avoiding version of LU_PRRP that minimizes communication. CALU_PRRP is based on tournament pivoting, with the selection of the pivots at each step of the tournament being performed via strong rank revealing QR factorization. CALU_PRRP is more stable than CALU, the communication avoiding version of GEPP. CALU_PRRP is also more stable in practice and is resistant to pathological cases on which GEPP and CALU fail.

Connected through hyperedge HE-1 (induced by source paper "an efficient sparsity preserving online algorithm for low rank approximation"):
  with members:
    - "efficient second order online learning by sketching"
    - "overcoming catastrophic forgetting in neural networks"
    - "low rank approximation and regression in input sparsity time"
    - "twice ramanujan sparsifiers"
    - "relative error cur matrix decompositions"

Connected through hyperedge HE-2 (induced by source paper "the swept rule for breaking the latency barrier in time advancing two dimensional pdes"):
  with members:
    - "the swept rule for breaking the latency barrier in time advancing pdes"
    - "multicore optimized wavefront diamond blocking for optimizing stencil updates"
    - "minimizing communication in linear algebra"

Connected through hyperedge HE-3 (induced by source paper "the swept rule for breaking the latency barrier in time advancing pdes"):
  with members:
    - "minimizing communication in linear algebra"
    - "cloud computing and grid computing 360 degree compared"

Connected through hyperedge HE-4 (induced by source paper "minimizing communication in linear algebra"):
  with members:
    - "graph expansion and communication costs of fast matrix multiplication regular submission"
    - "hybrid static dynamic scheduling for already optimized dense matrix factorization"
    - "communication optimal parallel and sequential cholesky decomposition"
    - "a class of parallel tiled linear algebra algorithms for multicore architectures"

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)