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: "computing least fixed points of probabilistic systems of polynomials"
  Abstract: We study systems of equations of the form X1 = f1(X1, ..., Xn), ..., Xn = fn(X1, ..., Xn), where each fi is a polynomial with nonnegative coefficients that add up to 1. The least nonnegative solution, say mu, of such equation systems is central to problems from various areas, like physics, biology, computational linguistics and probabilistic program verification. We give a simple and strongly polynomial algorithm to decide whether mu=(1, ..., 1) holds. Furthermore, we present an algorithm that computes reliable sequences of lower and upper bounds on mu, converging linearly to mu. Our algorithm has these features despite using inexact arithmetic for efficiency. We report on experiments that show the performance of our algorithms.

Connected through hyperedge HE-1 (induced by source paper "stochastic context free grammars regular languages and newton s method"):
  with members:
    - "upper bounds for newton s method on monotone polynomial systems and p time model checking of probabilistic one counter automata"
    - "polynomial time algorithms for multi type branching processes and stochastic context free grammars"
    - "polynomial time algorithms for branching markov decision processes and probabilistic min max polynomial bellman equations"
    - "computing the least fixed point of positive polynomial systems"
    - "linear encodings of bounded ltl model checking"
    - "model checking probabilistic pushdown automata"

Connected through hyperedge HE-2 (induced by source paper "model checking stochastic branching processes"):
  with members:
    - "polynomial time algorithms for multi type branching processes and stochastic context free grammars"
    - "on probabilistic parallel programs with process creation and synchronisation"
    - "computing the least fixed point of positive polynomial systems"

Connected through hyperedge HE-3 (induced by source paper "space efficient scheduling of stochastically generated tasks"):
  with members:
    - "convergence thresholds of newton s method for monotone polynomial equations"

Connected through hyperedge HE-4 (induced by source paper "computing the least fixed point of positive polynomial systems"):
  with members:
    - "convergence thresholds of newton s method for monotone polynomial equations"

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)