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: "on the complexity of solving initial value problems"
  Abstract: In this paper we prove that computing the solution of an initial-value problem y = p(y) with initial condition y(t0) = y0 ∈ Rd at time t0 + T with precision 2−μ where p is a vector of polynomials can be done in time polynomial in the value of T, μ and Y = [equation]. Contrary to existing results, our algorithm works over any bounded or unbounded domain. Furthermore, we do not assume any Lipschitz condition on the initial-value problem.

Connected through hyperedge HE-1 (induced by source paper "polynomial time corresponds to solutions of polynomial ordinary differential equations of polynomial length"):
  with members:
    - "computational complexity of solving polynomial differential equations over unbounded domains"
    - "computational complexity of solving polynomial differential equations over unbounded domains with non rational coefficients"
    - "computing with polynomial ordinary differential equations"
    - "on the functions generated by the general purpose analog computer"
    - "lipschitz continuous ordinary differential equations are polynomial space complete"
    - "probabilistic analysis of a differential equation for linear programming"

Connected through hyperedge HE-2 (induced by source paper "computational complexity of solving polynomial differential equations over unbounded domains"):
  with members:
    - "lipschitz continuous ordinary differential equations are polynomial space complete"
    - "fast computation of power series solutions of systems of differential equations"

Connected through hyperedge HE-3 (induced by source paper "on the functions generated by the general purpose analog computer"):
  with members:
    - "computing with polynomial ordinary differential equations"

Connected through hyperedge HE-4 (induced by source paper "turing machines can be efficiently simulated by the general purpose analog computer"):
  with members:
    - "a survey on continuous time computations"

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)