human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "beating the harmonic lower bound for online bin packing"):
  Abstract: In the online bin packing problem, items of sizes in (0,1] arrive online to be packed into bins of size 1. The goal is to minimize the number of used bins. In this paper, we present an online bin packing algorithm with asymptotic competitive ratio of 1.5813. This is the first improvement in fifteen years and reduces the gap to the lower bound by 15%. Within the well-known SuperHarmonic framework, no competitive ratio below 1.58333 can be achieved. #R##N#We make two crucial changes to that framework. First, some of our algorithm's decisions depend on exact sizes of items, instead of only their types. In particular, for each item with size in (1/3,1/2], we use its exact size to determine if it can be packed together with an item of size greater than 1/2. Second, we carefully mark it depending on how it ends up packed, and use these marks to bound how many bins of a certain kind can exist in the optimal solution. This gives us better lower bounds on the optimal solution value. We show that for each input, a single weighting function can be constructed to upper bound the competitive ratio on it. #R##N#We use this idea to simplify the analysis of SuperHarmonic, and show that the algorithm Harmonic++ is in fact 1.58880-competitive (Seiden proved 1.58889), and that 1.5884 can be achieved within the SuperHarmonic framework. Finally, we give a lower bound of 1.5762 for our new framework.

Includes members:
  Member "polynomiality for bin packing with a constant number of item types":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "an optimal algorithm for 1 d cutting stock problem")
  Member "approximating bin packing within o log opt log log opt bins":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "an optimal algorithm for 1 d cutting stock problem")

Question: Please tell me which class the source paper 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)