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: "fast rodfiter for attitude reconstruction from inertial measurements"
  Abstract: Attitude computation is of vital importance for a variety of applications. Based on the functional iteration of the Rodrigues vector integration equation, the RodFIter method can be advantageously applied to analytically reconstruct the attitude from discrete gyroscope measurements over the time interval of interest. It is promising to produce ultra-accurate attitude reconstruction. However, the RodFIter method imposes a high computational load and does not lend itself to an onboard implementation. In this paper, a fast approach to significantly reduce RodFIter's computation complexity is presented while maintaining almost the same accuracy of attitude reconstruction. It reformulates the Rodrigues vector iterative integration in terms of the Chebyshev polynomial iteration. Due to the excellent property of Chebyshev polynomials, the fast RodFIter is achieved by means of appropriate truncation of Chebyshev polynomials, with provably guaranteed convergence. Moreover, simulation results validate the speed and accuracy of the proposed method.

Connected through hyperedge HE-1 (induced by source paper "inavfiter next generation inertial navigation computation based on functional iteration"):
  with members:
    - "attitude reconstruction from inertial measurements quatfiter and its comparison with rodfiter"
    - "on inertial navigation and attitude initialization in polar areas"
    - "rodfiter attitude reconstruction from inertial measurement by functional iteration"
    - "velocity position integration formula part ii application to strapdown inertial navigation computation"
    - "on position translation vector"

Connected through hyperedge HE-2 (induced by source paper "next generation inertial navigation computation based on functional iteration"):
  with members:
    - "attitude reconstruction from inertial measurements quatfiter and its comparison with rodfiter"
    - "rodfiter attitude reconstruction from inertial measurement by functional iteration"
    - "velocity position integration formula part ii application to strapdown inertial navigation computation"
    - "on position translation vector"

Connected through hyperedge HE-3 (induced by source paper "attitude reconstruction from inertial measurements quatfiter and its comparison with rodfiter"):
  with members:
    - "rodfiter attitude reconstruction from inertial measurement by functional iteration"

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.RO(Robotics)