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 "an algebraic theory of complexity for discrete optimization"):
  Abstract: Discrete optimization problems arise in many different areas and are studied under many different names. In many such problems the quantity to be optimized can be expressed as a sum of functions of a restricted form. Here we present a unifying theory of complexity for problems of this kind. We show that the complexity of a finite-domain discrete optimization problem is determined by certain algebraic properties of the objective function, which we call weighted polymorphisms. We define a Galois connection between sets of rational-valued functions and sets of weighted polymorphisms and show how the closed sets of this Galois connection can be characterized. These results provide a new approach to studying the complexity of discrete optimization. We use this approach to identify certain maximal tractable subproblems of the general problem and hence derive a complete classification of complexity for the Boolean case.

Includes members:
  Member "the complexity of conservative valued csps":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "representing fitness landscapes by valued constraints to understand the complexity of local search")
  Member "the power of linear programming for valued csps":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "piecewise linear valued csps solvable by linear programming relaxation")
  Member "hybrid tractability of valued constraint problems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "binary constraint satisfaction problems defined by excluded topological minors")
  Member "the expressive power of binary submodular functions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "binarisation for valued constraint satisfaction problems")
  Member "the approximability of max csp with fixed value constraints":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal polynomial time compression for boolean max csp")
  Member "the approximability of three valued max csp":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the complexity of boolean surjective general valued csps")

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.CC(Computational Complexity)