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: "bounded time computation on metric spaces and banach spaces"
  Abstract: We extend the framework by Kawamura and Cook for investigating computational complexity for operators occurring in analysis. This model is based on second-order complexity theory for functions on the Baire space, which is lifted to metric spaces by means of representations. Time is measured in terms of the length of the input encodings and the required output precision. We propose the notions of a complete representation and of a regular representation. We show that complete representations ensure that any computable function has a time bound. Regular representations generalize Kawamura and Cook's more restrictive notion of a second-order representation, while still guaranteeing fast computability of the length of the encodings. Applying these notions, we investigate the relationship between purely metric properties of a metric space and the existence of a representation such that the metric is computable within bounded time. We show that a bound on the running time of the metric can be straightforwardly translated into size bounds of compact subsets of the metric space. Conversely, for compact spaces and for Banach spaces we construct a family of admissible, complete, regular representations that allow for fast computation of the metric and provide short encodings. Here it is necessary to trade the time bound off against the length of encodings.

Connected through hyperedge HE-1 (induced by source paper "quantitative continuity and computable analysis in coq"):
  with members:
    - "type two polynomial time and restricted lookahead"
    - "representations and evaluation strategies for feasibly approximable functions"
    - "parametrised second order complexity theory with applications to the study of interval computation"
    - "comparing representations for function spaces in computable analysis"
    - "function spaces for second order polynomial time"
    - "wave equation numerical resolution a comprehensive mechanized proof of a c program"
    - "complexity theory for operators in analysis"
    - "essential incompleteness of arithmetic verified by coq"

Connected through hyperedge HE-2 (induced by source paper "parametrised second order complexity theory with applications to the study of interval computation"):
  with members:
    - "polynomial running times for polynomial time oracle machines"
    - "complexity theory for spaces of integrable functions"
    - "computational complexity of solving polynomial differential equations over unbounded domains"
    - "function spaces for second order polynomial time"
    - "on function spaces and polynomial time computability"
    - "complexity theory for operators in analysis"
    - "parameterized uniform complexity in numerics from smooth to analytic from np hard to polytime"
    - "lipschitz continuous ordinary differential equations are polynomial space complete"

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.LO(Logic in Computer Science)