human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "in place initializable arrays"
  Abstract: Initializing all elements of an array to a specified value is a basic operation that frequently appears in numerous algorithms and programs. Initializable arrays are abstract arrays that support initialization as well as reading and writing of any element of the array in less than linear time proportional to the length of the array. On the word RAM model with $w$ bits word size, we propose an in-place algorithm using only 1 extra bit which implements an initializable array of length $N$ each of whose elements can store $\ell \in O(w)$ bits value, and supports all operations in constant worst case time. We also show that our algorithm is not only time optimal but also space optimal. Our algorithm significantly improves upon the previous best algorithm [Navarro, CSUR 2014] using $N + \ell + o(N)$ extra bits supporting all operations in constant worst case time. #R##N#Moreover, for a special cast that $\ell \ge 2 \lceil \log N \rceil$ and $\ell \in O(w)$, we also propose an algorithm so that each element of initializable array can store $2^\ell$ normal states and a one optional state, which uses $\ell + \lceil \log N \rceil + 1$ extra bits and supports all operations in constant worst case time.

Connected through hyperedge HE-1 (induced by source paper "space efficient vertex separators for treewidth"):
  with members:
    - "benchmarking treewidth as a practical component of tensor network simulations"
    - "space efficient dfs and applications simpler leaner faster"
    - "small uncolored and colored choice dictionaries"
    - "nearly optimal space efficient algorithm for depth first search"
    - "rank select indices without tears"
    - "on the fly array initialization in less space"
    - "succinct choice dictionaries"

Connected through hyperedge HE-2 (induced by source paper "extra space during initialization of succinct data structures and of dynamical initializable arrays"):
  with members:
    - "linear time in place dfs and bfs on the word ram"
    - "frameworks for designing in place graph algorithms"
    - "succinct choice dictionaries"
    - "succinct representations of permutations and functions"

Connected through hyperedge HE-3 (induced by source paper "fast breadth first search in still less space"):
  with members:
    - "small uncolored and colored choice dictionaries"
    - "succinct choice dictionaries"
    - "improved space efficient algorithms for bfs dfs and applications"

Connected through hyperedge HE-4 (induced by source paper "small uncolored and colored choice dictionaries"):
  with members:
    - "an optimal choice dictionary"
    - "succinct choice dictionaries"

Connected through hyperedge HE-5 (induced by source paper "an optimal choice dictionary"):
  with members:
    - "succinct choice dictionaries"

Connected through hyperedge HE-6 (induced by source paper "on the fly array initialization in less space"):
  with members:
    - "fillable arrays with constant time operations and a single bit of redundancy"

Question: Please tell me which class the center node 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)