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 "laderman matrix multiplication algorithm can be constructed using strassen algorithm and related tensor s isotropies"):
  Abstract: In 1969, V. Strassen improves the classical~2x2 matrix multiplication algorithm.  The current upper bound for 3x3 matrix multiplication was reached by J.B. Laderman in 1976. This note presents a geometric relationship between Strassen and Laderman algorithms.  By doing so, we retrieve a geometric formulation of results very similar to those presented by O. Sykora in 1977.

Includes members:
  Member "the geometry of rank decompositions of matrix multiplication i 2x2 matrices":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "designing strassen s algorithm")
  Member "matrix multiplication algorithms from group orbits":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "strassen s 2x2 matrix multiplication algorithm a conceptual perspective")
  Member "fast matrix multiplication and symbolic computation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "strassen s 2x2 matrix multiplication algorithm a conceptual perspective")
  Member "symmetries of matrix multiplication algorithms i":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "designing strassen s algorithm")
  Member "fast matrix multiplication limitations of the laser method":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "barriers for rectangular matrix multiplication")
  Member "a new general purpose method to multiply 3x3 matrices using only 23 multiplications":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "new ways to multiply 3 x 3 matrices")

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)