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 "using the distribution of cells by dimension in a cylindrical algebraic decomposition"):
  Abstract: We investigate the distribution of cells by dimension in cylindrical algebraic decompositions (CADs). We find that they follow a standard distribution which seems largely independent of the underlying problem or CAD algorithm used. Rather, the distribution is inherent to the cylindrical structure and determined mostly by the number of variables. This insight is then combined with an algorithm that produces only full-dimensional cells to give an accurate method of predicting the number of cells in a complete CAD. Since constructing only full-dimensional cells is relatively inexpensive (involving no costly algebraic number calculations) this leads to heuristics for helping with various questions of problem formulation for CAD, such as choosing an optimal variable ordering. Our experiments demonstrate that this approach can be highly effective.

Includes members:
  Member "truth table invariant cylindrical algebraic decomposition by regular chains":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "cylindrical algebraic decomposition with equational constraints")
  Member "applying machine learning to the problem of choosing a heuristic to select the variable ordering for cylindrical algebraic decomposition":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "cylindrical algebraic decomposition with equational constraints")
  Member "choosing a variable ordering for truth table invariant cylindrical algebraic decomposition by incremental triangular decomposition":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "using machine learning to improve cylindrical algebraic decomposition")
  Member "problem formulation for truth table invariant cylindrical algebraic decomposition by incremental triangular decomposition":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "cylindrical algebraic decomposition with equational constraints")
  Member "using the regular chains library to build cylindrical algebraic decompositions by projecting and lifting":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "cylindrical algebraic decomposition with equational constraints")
  Member "cylindrical algebraic sub decompositions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "deciding the consistency of non linear real arithmetic constraints with a conflict driven search using cylindrical algebraic coverings")
  Member "cylindrical algebraic decompositions for boolean combinations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "cylindrical algebraic decomposition with equational constraints")
  Member "optimising problem formulation for cylindrical algebraic decomposition":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "cylindrical algebraic decomposition with equational constraints")

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.SC(Symbolic Computation)