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: "support graph preconditioners for 2 dimensional trusses"
  Abstract: We use support theory, in particular the fretsaw extensions of Shklarski and Toledo, to design preconditioners for the stiffness matrices of 2-dimensional truss structures that are stiffly connected. Provided that all the lengths of the trusses are within constant factors of each other, that the angles at the corners of the triangles are bounded away from 0 and $\pi$, and that the elastic moduli and cross-sectional areas of all the truss elements are within constant factors of each other, our preconditioners allow us to solve linear equations in the stiffness matrices to accuracy $\epsilon$ in time $O (n^{5/4} (\log^{2}n \log \log n)^{3/4} \log (1/\epsilon))$.

Connected through hyperedge HE-1 (induced by source paper "incomplete nested dissection"):
  with members:
    - "hardness results for structured linear systems"
    - "minimum cycle and homology bases of surface embedded graphs"
    - "approximate gaussian elimination for laplacians fast sparse and simple"
    - "almost linear time algorithms for markov chains and new spectral primitives for directed graphs"
    - "sparsified cholesky and multigrid solvers for connection laplacians"
    - "powers of tensors and fast matrix multiplication"
    - "all pairs minimum cuts in near linear time for surface embedded graphs"
    - "an efficient parallel solver for sdd linear systems"

Connected through hyperedge HE-2 (induced by source paper "hardness results for structured linear systems"):
  with members:
    - "computing maximum flow with augmenting electrical flows"
    - "geometric median in nearly linear time"
    - "sparsified cholesky and multigrid solvers for connection laplacians"
    - "efficient inverse maintenance and faster algorithms for linear programming"
    - "sketching as a tool for numerical linear algebra"
    - "approximate undirected maximum flows in o m polylog n time"
    - "an almost linear time algorithm for approximate max flow in undirected graphs and its multicommodity generalizations"
    - "stable camera motion estimation using convex programming"

Connected through hyperedge HE-3 (induced by source paper "spectral sparsification of simplicial complexes for clustering and label propagation"):
  with members:
    - "near optimal sketching of low rank tensor regression"
    - "polynomial sized topological approximations using the permutahedron"
    - "tensor spectral clustering for partitioning higher order network structures"
    - "pagerank beyond the web"
    - "graph induced complex on point data"
    - "a simple combinatorial algorithm for solving sdd systems in nearly linear time"
    - "computing topological persistence for simplicial maps"
    - "applications of zigzag persistence to topological data analysis"

Connected through hyperedge HE-4 (induced by source paper "faster approximate multicommodity flow using quadratically coupled flows"):
  with members:
    - "effective stiffness generalizing effective resistance sampling to finite element matrices"
    - "faster approximation schemes for fractional multicommodity flow problems via dynamic graph algorithms"
    - "approaching optimality for solving sdd systems"
    - "electrical flows laplacian systems and faster approximation of maximum flow in undirected graphs"
    - "nearly linear time algorithms for preconditioning and solving symmetric diagonally dominant linear systems"
    - "solving elliptic finite element systems in near linear time with support preconditioners"

Connected through hyperedge HE-5 (induced by source paper "runtime guarantees for regression problems"):
  with members:
    - "faster approximate multicommodity flow using quadratically coupled flows"
    - "near linear work parallel sdd solvers low diameter decomposition and low stretch subgraphs"
    - "a nearly mlogn time solver for sdd linear systems"
    - "approaching optimality for solving sdd systems"
    - "electrical flows laplacian systems and faster approximation of maximum flow in undirected graphs"
    - "faster approximate lossy generalized flow via interior point algorithms"
    - "nearly linear time algorithms for preconditioning and solving symmetric diagonally dominant linear systems"
    - "solving elliptic finite element systems in near linear time with support preconditioners"

Connected through hyperedge HE-6 (induced by source paper "effective stiffness generalizing effective resistance sampling to finite element matrices"):
  with members:
    - "near linear work parallel sdd solvers low diameter decomposition and low stretch subgraphs"
    - "low rank matrix valued chernoff bounds and approximate matrix multiplication"
    - "effective resistances statistical leverage and applications to linear equation solving"
    - "faster approximate lossy generalized flow via interior point algorithms"
    - "graph sparsification by effective resistances"
    - "solving elliptic finite element systems in near linear time with support preconditioners"

Connected through hyperedge HE-7 (induced by source paper "nearly linear time algorithms for preconditioning and solving symmetric diagonally dominant linear systems"):
  with members:
    - "a simple combinatorial algorithm for solving sdd systems in nearly linear time"
    - "faster approximate multicommodity flow using quadratically coupled flows"
    - "a nearly mlogn time solver for sdd linear systems"
    - "electrical flows laplacian systems and faster approximation of maximum flow in undirected graphs"
    - "a note on preconditioning by low stretch spanning trees"
    - "faster generation of random spanning trees"
    - "subgraph sparsification and nearly optimal ultrasparsifiers"
    - "a local clustering algorithm for massive graphs and its application to nearly linear time graph partitioning"

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)