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 simplex pivoting rules and complexity theory"
  Abstract: We show that there are simplex pivoting rules for which it is PSPACE-complete to tell if a particular basis will appear on the algorithm's path. Such rules cannot be the basis of a strongly polynomial algorithm, unless P = PSPACE. We conjecture that the same can be shown for most known variants of the simplex method. However, we also point out that Dantzig's shadow vertex algorithm has a polynomial path problem. Finally, we discuss in the same context randomized pivoting rules.

Connected through hyperedge HE-1 (induced by source paper "on the computational power of online gradient descent"):
  with members:
    - "introduction to online convex optimization"
    - "stochastic gradient descent performs variational inference converges to limit cycles for deep networks"
    - "on the computational complexity of limit cycles in dynamical systems"
    - "the complexity of the simplex method"
    - "the simplex algorithm is np mighty"
    - "the complexity of the homotopy method equilibrium selection and lemke howson solutions"

Connected through hyperedge HE-2 (induced by source paper "simultaneous solving of batched linear programs on a gpu"):
  with members:
    - "a gemm interface and implementation on nvidia gpus for multiple small matrices"

Connected through hyperedge HE-3 (induced by source paper "monotone paths in geometric triangulations"):
  with members:
    - "counting plane graphs cross graph charging schemes"
    - "how many potatoes are in a mesh"
    - "counting plane graphs perfect matchings spanning cycles and kasteleyn s technique"
    - "bounds on the maximum multiplicity of some common geometric graphs"
    - "counting triangulations of planar point sets"

Connected through hyperedge HE-4 (induced by source paper "complexity of single swap heuristics for metric facility location and related problem"):
  with members:
    - "local search yields a ptas for k means in doubling metrics"
    - "the complexity of the simplex method"
    - "k means requires exponentially many iterations even in the plane"

Connected through hyperedge HE-5 (induced by source paper "the niceness of unique sink orientations"):
  with members:
    - "the simplex algorithm is np mighty"

Connected through hyperedge HE-6 (induced by source paper "the complexity of all switches strategy improvement"):
  with members:
    - "the complexity of the simplex method"
    - "the simplex algorithm is np mighty"
    - "an exponential lower bound for the latest deterministic strategy iteration algorithms"
    - "non oblivious strategy improvement"
    - "the complexity of the homotopy method equilibrium selection and lemke howson solutions"
    - "exponential lower bounds for policy iteration"
    - "linear complementarity algorithms for infinite games"

Connected through hyperedge HE-7 (induced by source paper "the complexity of the simplex method"):
  with members:
    - "the simplex method is strongly polynomial for deterministic markov decision processes"
    - "an exponential lower bound for the latest deterministic strategy iteration algorithms"
    - "the complexity of the homotopy method equilibrium selection and lemke howson solutions"
    - "exponential lower bounds for policy iteration"
    - "settling the complexity of computing two player nash equilibria"
    - "smoothed analysis of algorithms why the simplex algorithm usually takes polynomial time"

Connected through hyperedge HE-8 (induced by source paper "the simplex algorithm is np mighty"):
  with members:
    - "the complexity of all switches strategy improvement"
    - "the complexity of the simplex method"
    - "the complexity of the homotopy method equilibrium selection and lemke howson solutions"
    - "smoothed analysis of algorithms why the simplex algorithm usually takes polynomial time"

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.CC(Computational Complexity)