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 "strong steiner tree approximations in practice"):
  Abstract: In this experimental study we consider Steiner tree approximations that guarantee a constant approximation of ratio smaller than $2$. The considered greedy algorithms and approaches based on linear programming involve the incorporation of $k$-restricted full components for some $k \geq 3$. For most of the algorithms, their strongest theoretical approximation bounds are only achieved for $k \to \infty$. However, the running time is also exponentially dependent on $k$, so only small $k$ are tractable in practice. #R##N#We investigate different implementation aspects and parameter choices that finally allow us to construct algorithms (somewhat) feasible for practical use. We compare the algorithms against each other, to an exact LP-based algorithm, and to fast and simple $2$-approximations.

Includes members:
  Member "dijkstra meets steiner a fast exact goal oriented steiner tree algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a robust and scalable algorithm for the steiner problem in graphs")
  Member "a robust and scalable algorithm for the steiner problem in graphs":
    also connected through other hyperedges:
      (none)
  Member "approximation algorithms for steiner tree problems based on universal solution frameworks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "algorithmic complexity of power law networks")
  Member "speeding up dynamic programming with representative sets an experimental evaluation of algorithms for steiner tree on tree decompositions":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "parameterized algorithms and data reduction for the short secluded s t path problem")
  Member "hypergraphic lp relaxations for steiner trees":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "simplex based steiner tree instances yield large integrality gaps for the bidirected cut relaxation")
  Member "a partition based relaxation for steiner trees":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "simplex based steiner tree instances yield large integrality gaps for the bidirected cut relaxation")

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)