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: "block iterative eigensolvers for sequences of correlated eigenvalue problems"
  Abstract: Abstract   In Density Functional Theory simulations based on the LAPW method, each self-consistent field cycle comprises dozens of large dense generalized eigenproblems. In contrast to real-space methods, eigenpairs solving for problems at distinct cycles have either been believed to be independent or at most very loosely connected. In a recent study (Di Napoli et al., 2012)   [13] , it was demonstrated that, contrary to belief, successive eigenproblems in a sequence are strongly correlated with one another. In particular, by monitoring the subspace angles between eigenvectors of successive eigenproblems, it was shown that these angles decrease noticeably after the first few iterations and become close to collinear. This last result suggests that we can manipulate the eigenvectors, solving for a specific eigenproblem in a sequence, as an approximate solution for the following eigenproblem. In this work we present results that are in line with this intuition. We provide numerical examples where opportunely selected block iterative eigensolvers benefit from the reuse of eigenvectors by achieving a substantial speed-up. The results presented will eventually open the way to a widespread use of block iterative eigensolvers in ab initio electronic structure codes based on the LAPW approach.

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"
    - "high performance solvers for dense hermitian eigenproblems"
    - "density matrix based algorithm for solving eigenvalue problems"

Connected through hyperedge HE-2 (induced by source paper "high performance generation of the hamiltonian and overlap matrices in flapw methods"):
  with members:
    - "an optimized and scalable eigensolver for sequences of eigenvalue problems"

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

Connected through hyperedge HE-4 (induced by source paper "a parallel and scalable iterative solver for sequences of dense eigenproblems arising in flapw"):
  with members:
    - "high performance solvers for dense hermitian eigenproblems"

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.DS(Data Structures and Algorithms)