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 "fully dynamic bin packing revisited"):
  Abstract: We consider the fully dynamic bin packing problem, where items arrive and depart in an online fashion and repacking of previously packed items is allowed. The goal is, of course, to minimize both the number of bins used as well as the amount of repacking. A recently introduced way of measuring the repacking costs at each timestep is the migration factor, defined as the total size of repacked items divided by the size of an arriving or departing item. Concerning the trade-off between number of bins and migration factor, if we wish to achieve an asymptotic competitive ration of $1 + \epsilon$ for the number of bins, a relatively simple argument proves a lower bound of $\Omega(\frac{1}{\epsilon})$ for the migration factor. We establish a nearly matching upper bound of $O(\frac{1}{\epsilon}^4 \log \frac{1}{\epsilon})$ using a new dynamic rounding technique and new ideas to handle small items in a dynamic setting such that no amortization is needed. The running time of our algorithm is polynomial in the number of items $n$ and in $\frac{1}{\epsilon}$. The previous best trade-off was for an asymptotic competitive ratio of $\frac{5}{4}$ for the bins (rather than $1+\epsilon$) and needed an amortized number of $O(\log n)$ repackings (while in our scheme the number of repackings is independent of $n$ and non-amortized).

Includes members:
  Member "a new and improved algorithm for online bin packing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "streaming algorithms for bin packing and vector scheduling")
  Member "online strip packing with polynomial migration":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "robust online algorithms for dynamic problems")
  Member "fully dynamic bin packing with limited repacking":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "streaming algorithms for bin packing and vector scheduling")
  Member "a tight approximation for fully dynamic bin packing without bundling":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "fully dynamic bin packing with limited repacking")
  Member "beating the harmonic lower bound for online bin packing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "parallel online algorithms for the bin packing problem")
  Member "a faster fptas for the unbounded knapsack problem":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on problems equivalent to min convolution")
  Member "a robust afptas for online bin packing with polynomial migration":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "robust online algorithms for dynamic problems")

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)