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 "space efficient vertex separators for treewidth"):
  Abstract: Practical applications that use treewidth algorithms have graphs with treewidth k = O(\sqrt[3]n). Given such n-vertex graphs we present a word-RAM algorithm to compute vertex separators using only O(n) bits of working memory. As an application of our algorithm, we show an O(1)- approximation algorithm for tree decomposition. Our algorithm computes a tree decomposition in c^k n(log^* n) log log n time using O(n) bits for some constant c. #R##N#We finally show that our tree-decomposition algorithm can be used to solve several monadic second-order problems using O(n) bits as long as the treewidth of the graph is smaller than c' log n for some constant 0 < c' < 1.

Includes members:
  Member "benchmarking treewidth as a practical component of tensor network simulations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "efficient contraction of large tensor networks for weighted model counting through graph decompositions")
  Member "space efficient dfs and applications simpler leaner faster":
    also connected through other hyperedges:
      (none)
  Member "small uncolored and colored choice dictionaries":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "linear time in place dfs and bfs on the word ram")
  Member "nearly optimal space efficient algorithm for depth first search":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sorting and ranking of self delimiting numbers with applications to tree isomorphism")
  Member "in place initializable arrays":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "extra space during initialization of succinct data structures and of dynamical initializable arrays")
  Member "rank select indices without tears":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "sorting and ranking of self delimiting numbers with applications to tree isomorphism")
  Member "on the fly array initialization in less space":
    also connected through other hyperedges:
      (none)
  Member "succinct choice dictionaries":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "linear time in place dfs and bfs on the word ram")

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)