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: "high performance solvers for dense hermitian eigenproblems"
  Abstract: We introduce a new collection of solvers - subsequently called EleMRRR - for large-scale dense Hermitian eigenproblems. EleMRRR solves various types of problems: generalized, standard, and tridiagonal eigenproblems. Among these, the last is of particular importance as it is a solver on its own right, as well as the computational kernel for the first two; we present a fast and scalable tridiagonal solver based on the Algorithm of Multiple Relatively Robust Representations - referred to as PMRRR. Like the other EleMRRR solvers, PMRRR is part of the freely available Elemental library, and is designed to fully support both message-passing (MPI) and multithreading parallelism (SMP). As a result, the solvers can equally be used in pure MPI or in hybrid MPI-SMP fashion. We conducted a thorough performance study of EleMRRR and ScaLAPACK's solvers on two supercomputers. Such a study, performed with up to 8,192 cores, provides precise guidelines to assemble the fastest solver within the ScaLAPACK framework; it also indicates that EleMRRR outperforms even the fastest solvers built from ScaLAPACK's components.

Connected through hyperedge HE-1 (induced by source paper "chase chebyshev accelerated subspace iteration eigensolver for sequences of hermitian eigenvalue problems"):
  with members:
    - "an optimized and scalable eigensolver for sequences of eigenvalue problems"
    - "block iterative eigensolvers for sequences of correlated eigenvalue problems"
    - "density matrix based algorithm for solving eigenvalue problems"

Connected through hyperedge HE-2 (induced by source paper "look ahead in the two sided reduction to compact band forms for symmetric eigenvalue problems and the svd"):
  with members:
    - "a case for malleable thread level linear algebra libraries the lu factorization with partial pivoting"
    - "a class of parallel tiled linear algebra algorithms for multicore architectures"

Connected through hyperedge HE-3 (induced by source paper "an optimized and scalable eigensolver for sequences of eigenvalue problems"):
  with members:
    - "block iterative eigensolvers for sequences of correlated eigenvalue problems"
    - "a parallel and scalable iterative solver for sequences of dense eigenproblems arising in flapw"
    - "solving dense generalized eigenproblems on multi threaded architectures"
    - "block locally optimal preconditioned eigenvalue xolvers blopex in hypre and petsc"

Connected through hyperedge HE-4 (induced by source paper "improved accuracy and parallelism for mrrr based eigensolvers a mixed precision approach"):
  with members:
    - "mrrr based eigensolvers for multi core processors and supercomputers"

Connected through hyperedge HE-5 (induced by source paper "a parallel and scalable iterative solver for sequences of dense eigenproblems arising in flapw"):
  with members:
    - "block iterative eigensolvers for sequences of correlated eigenvalue problems"

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.MS(Mathematical Software)