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: "the aggregated unfitted finite element method for elliptic problems"
  Abstract: Unfitted finite element techniques are valuable tools in different applications where the generation of body-fitted meshes is difficult. However, these techniques are prone to severe ill conditioning problems that obstruct the efficient use of iterative Krylov methods and, in consequence, hindersthe practical usage of unfitted methods for realistic large scale applications. In this work, we present a technique that addresses such conditioning problems by constructing enhanced finite element spaces based on a cell aggregation technique. The presented method, called aggregated unfitted finite element method, is easy to implement, and can be used, in contrast to previous works, in Galerkin approximations of coercive problems with conforming Lagrangian finite element spaces. The mathematical analysis of the method states that the condition number of the resulting linear system matrix scales as in standard finite elements for body-fitted meshes, without being affected by small cut cells, and that the method leads to the optimal finite element convergence order. These theoretical results are confirmed with 2D and 3D numerical experiments.

Connected through hyperedge HE-1 (induced by source paper "accurate iteration free mixed stabilised formulation for laminar incompressible navier stokes applications to fluid structure interaction"):
  with members:
    - "preconditioning immersed isogeometric finite element methods with application to flow problems"

Connected through hyperedge HE-2 (induced by source paper "a generic finite element framework on parallel tree based adaptive meshes"):
  with members:
    - "scalable algorithms for parallel tree based adaptive mesh refinement with general element types"
    - "simulation of high temperature superconductors and experimental validation"
    - "fempar an object oriented parallel finite element framework"
    - "a tetrahedral space filling curve for nonconforming adaptive meshes"

Connected through hyperedge HE-3 (induced by source paper "distributed memory parallelization of the aggregated unfitted finite element method"):
  with members:
    - "fempar an object oriented parallel finite element framework"
    - "extreme scale multigrid components within petsc"

Connected through hyperedge HE-4 (induced by source paper "preconditioning immersed isogeometric finite element methods with application to flow problems"):
  with members:
    - "a one field monolithic fictitious domain method for fluid structure interactions"

Connected through hyperedge HE-5 (induced by source paper "a scalable parallel finite element framework for growing geometries application to metal additive manufacturing"):
  with members:
    - "a generic finite element framework on parallel tree based adaptive meshes"
    - "numerical modelling of heat transfer and experimental validation in powder bed fusion with the virtual domain approximation"
    - "fempar an object oriented parallel finite element framework"
    - "space time balancing domain decomposition"
    - "morton curve segments produce no more than two distinct face connected subdomains"
    - "recursive algorithms for distributed forests of octrees"
    - "locality and bounding box quality of two dimensional space filling curves"

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.CE(Computational Engineering, Finance, and Science)