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: "lambert w function for applications in physics"
  Abstract: Abstract   The Lambert    W   (  x  )     function and its possible applications in physics are presented. The actual numerical implementation in C++ consists of Halley’s and Fritsch’s iterations with initial approximations based on branch-point expansion, asymptotic series, rational fits, and continued-logarithm recursion.    Program summary   Program title:  LambertW   Catalogue identifier:  AENC_v1_0   Program summary URL:  http://cpc.cs.qub.ac.uk/summaries/AENC_v1_0.html    Program obtainable from:  CPC Program Library, Queen’s University, Belfast, N. Ireland   Licensing provisions:  GNU General Public License version 3   No. of lines in distributed program, including test data, etc.:  1335   No. of bytes in distributed program, including test data, etc.:  25 283   Distribution format:  tar.gz   Programming language:  C++ (with suitable wrappers it can be called from C, Fortran etc.), the supplied command-line utility is suitable for other scripting languages like sh, csh, awk, perl etc.   Computer:  All systems with a C++ compiler.   Operating system:  All Unix flavors, Windows. It might work with others.   RAM:  Small memory footprint, less than 1 MB   Classification:  1.1, 4.7, 11.3, 11.9.   Nature of problem:   Find fast and accurate numerical implementation for the Lambert W function.   Solution method:   Halley’s and Fritsch’s iterations with initial approximations based on branch-point expansion, asymptotic series, rational fits, and continued logarithm recursion.   Additional comments:   Distribution file contains the command-line utility lambert-w. Doxygen comments, included in the source files. Makefile.   Running time:   The tests provided take only a few seconds to run.

Connected through hyperedge HE-1 (induced by source paper "computing the lambert w function in arbitrary precision complex interval arithmetic"):
  with members:
    - "arb efficient arbitrary precision midpoint radius interval arithmetic"
    - "efficient implementation of elementary functions in the medium precision range"

Connected through hyperedge HE-2 (induced by source paper "analysis and optimization of loss functions for multiclass top k and multilabel classification"):
  with members:
    - "hcp a flexible cnn framework for multi label image classification"
    - "cnn rnn a unified framework for multi label image classification"
    - "deep semantic ranking based hashing for multi label image retrieval"
    - "deep residual learning for image recognition"
    - "places205 vggnet models for scene recognition"
    - "faster r cnn towards real time object detection with region proposal networks"
    - "very deep convolutional networks for large scale image recognition"
    - "return of the devil in the details delving deep into convolutional nets"

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.MS(Mathematical Software)