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: "an in place truncated fourier transform and applications to polynomial multiplication"
  Abstract: The truncated Fourier transform (TFT) was introduced by van der Hoeven in 2004 as a means of smoothing the "jumps" in running time of the ordinary FFT algorithm that occur at power-of-two input sizes. However, the TFT still introduces these jumps in memory usage. We describe in-place variants of the forward and inverse TFT algorithms, achieving time complexity O(n log n) with only O(1) auxiliary space. As an application, we extend the second author's results on space-restricted FFT-based polynomial multiplication to polynomials of arbitrary degree.

Connected through hyperedge HE-1 (induced by source paper "generic reductions for in place polynomial multiplication"):
  with members:
    - "space efficient karatsuba multiplication for multi precision integers"
    - "faster polynomial multiplication over finite fields"
    - "memory efficient scheduling of strassen winograd s matrix multiplication algorithm"

Connected through hyperedge HE-2 (induced by source paper "fast hermite interpolation and evaluation over finite fields of characteristic two"):
  with members:
    - "fast transforms over finite fields of characteristic two"
    - "faster integer and polynomial multiplication using cyclotomic coefficient rings"
    - "fast systematic encoding of multiplicity codes"
    - "faster multiplication for long binary polynomials"
    - "some remarks on multiplicity codes"
    - "a storage efficient and robust private information retrieval scheme allowing few servers"
    - "novel polynomial basis and its application to reed solomon erasure codes"
    - "faster polynomial multiplication over finite fields"

Connected through hyperedge HE-3 (induced by source paper "on polynomial multiplication in chebyshev basis"):
  with members:
    - "fast conversion algorithms for orthogonal polynomials"
    - "power series composition and change of basis"

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)