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: "on the algorithmic complexity of the mastermind game with black peg results"
  Abstract: In this paper, we study the algorithmic complexity of the Mastermind game, where results are single-color black pegs. This differs from the usual dual-color version of the game, but better corresponds to applications in genetics. We show that it is NP-complete to determine if a sequence of single-color Mastermind results have a satisfying vector. We also show how to devise efficient algorithms for discovering a hidden vector through single-color queries. Indeed, our algorithm improves a previous method of Chvatal by almost a factor of 2.

Connected through hyperedge HE-1 (induced by source paper "complexity theory for discrete black box optimization heuristics"):
  with members:
    - "optimal parameter choices via precise black box analysis"
    - "runtime analysis of the 1 λ λ genetic algorithm on random satisfiable 3 cnf formulas"
    - "the 1 1 elitist black box complexity of leadingones"
    - "onemax in black box models with several restrictions"
    - "optimal parameter choices through self adjustment applying the 1 5 th rule in discrete settings"
    - "ranking based black box complexity"
    - "reducing the arity in unbiased black box complexity"
    - "a new method for lower bounds on the running time of evolutionary algorithms"

Connected through hyperedge HE-2 (induced by source paper "on the query complexity of black peg ab mastermind"):
  with members:
    - "the worst case number of questions in generalized ab game with and without white peg answers"
    - "improved approximation algorithm for the number of queries necessary to identify a permutation"
    - "playing mastermind with many colors"
    - "hardness of mastermind"
    - "playing mastermind with constant size memory"
    - "the mastermind attack on genomic data"
    - "mastermind is np complete"

Connected through hyperedge HE-3 (induced by source paper "the worst case number of questions in generalized ab game with and without white peg answers"):
  with members:
    - "improved approximation algorithm for the number of queries necessary to identify a permutation"
    - "playing mastermind with many colors"
    - "hardness of mastermind"
    - "playing mastermind with constant size memory"
    - "mastermind is np complete"

Connected through hyperedge HE-4 (induced by source paper "ranking based black box complexity"):
  with members:
    - "faster black box algorithms through higher arity operators"

Connected through hyperedge HE-5 (induced by source paper "improved approximation algorithm for the number of queries necessary to identify a permutation"):
  with members:
    - "playing mastermind with many colors"
    - "hardness of mastermind"
    - "playing mastermind with constant size memory"
    - "mastermind is np complete"

Connected through hyperedge HE-6 (induced by source paper "playing mastermind with many colors"):
  with members:
    - "hardness of mastermind"
    - "playing mastermind with constant size memory"
    - "the mastermind attack on genomic data"
    - "a constructive proof of the lovasz local lemma"
    - "mastermind is np complete"

Connected through hyperedge HE-7 (induced by source paper "learning character strings via mastermind queries with a case study involving mtdna"):
  with members:
    - "the mastermind attack on genomic data"
    - "mastermind is np complete"
    - "confluent drawings visualizing non planar diagrams in a planar way"

Connected through hyperedge HE-8 (induced by source paper "hardness of mastermind"):
  with members:
    - "mastermind is np complete"

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)