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 "pattern avoiding access in binary search trees"):
  Abstract: The dynamic optimality conjecture is perhaps the most fundamental open question about binary search trees (BST). It postulates the existence of an asymptotically optimal online BST, i.e. one that is constant factor competitive with any BST on any input access sequence. The two main candidates for dynamic optimality in the literature are splay trees [Sleator and Tarjan, 1985], and Greedy [Lucas, 1988; Munro, 2000; Demaine et al. 2009] [..] #R##N#Dynamic optimality is trivial for almost all sequences: the optimum access cost of most length-n sequences is Theta(n log n), achievable by any balanced BST. Thus, the obvious missing step towards the conjecture is an understanding of the "easy" access sequences. [..] The difficulty of proving dynamic optimality is witnessed by highly restricted special cases that remain unresolved; one prominent example is the traversal conjecture [Sleator and Tarjan, 1985], which states that preorder sequences (whose optimum is linear) are linear-time accessed by splay trees; no online BST is known to satisfy this conjecture. #R##N#In this paper, we prove two different relaxations of the traversal conjecture for Greedy: (i) Greedy is almost linear for preorder traversal, (ii) if a linear-time preprocessing is allowed, Greedy is in fact linear. These statements are corollaries of our more general results that express the complexity of access sequences in terms of a pattern avoidance parameter k. [..] To our knowledge, these are the first upper bounds for Greedy that are not known to hold for any other online BST. To obtain these results we identify an input-revealing property of Greedy. Informally, this means that the execution log partially reveals the structure of the access sequence. This property facilitates the use of rich technical tools from forbidden submatrix theory. #R##N#[Abridged]

Includes members:
  Member "greedy is an almost optimal deque":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "pinning down the strong wilber 1 bound for binary search trees")
  Member "self adjusting binary search trees what makes them tick":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "new paths from splay to dynamic optimality")
  Member "combining binary search trees":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "new paths from splay to dynamic optimality")
  Member "the computational landscape of permutation patterns":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "counting small permutation patterns")
  Member "in pursuit of the dynamic optimality conjecture":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "new paths from splay to dynamic optimality")
  Member "upper bounds for maximally greedy binary search trees":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "new paths from splay to dynamic optimality")
  Member "improved bounds and new techniques for davenport schinzel sequences and their generalizations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an algorithm for bounding extremal functions of forbidden sequences")
  Member "splay trees davenport schinzel sequences and the deque conjecture":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "splaying preorders and postorders")

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)