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: "blasfeo basic linear algebra subroutines for embedded optimization"
  Abstract: BLASFEO is a dense linear algebra library providing high-performance implementations of BLAS- and LAPACK-like routines for use in embedded optimization. A key difference with respect to existing high-performance implementations of BLAS is that the computational performance is optimized for small to medium scale matrices, i.e., for sizes up to a few hundred. BLASFEO comes with three different implementations: a high-performance implementation aiming at providing the highest performance for matrices fitting in cache, a reference implementation providing portability and embeddability and optimized for very small matrices, and a wrapper to standard BLAS and LAPACK providing high-performance on large matrices. The three implementations of BLASFEO together provide high-performance dense linear algebra routines for matrices ranging from very small to large. Compared to both open-source and proprietary highly-tuned BLAS libraries, for matrices of size up to about one hundred the high-performance implementation of BLASFEO is about 20-30\% faster than the corresponding level 3 BLAS routines and 2-3 times faster than the corresponding LAPACK routines.

Connected through hyperedge HE-1 (induced by source paper "the momms family of matrix multiplication algorithms"):
  with members:
    - "a tight i o lower bound for matrix multiplication"
    - "pushing the bounds for matrix matrix multiplication"
    - "revisiting matrix product on master worker platforms"

Connected through hyperedge HE-2 (induced by source paper "efficient winograd or cook toom convolution kernel implementation on widely used mobile cpus"):
  with members:
    - "efficient processing of deep neural networks a tutorial and survey"
    - "fast algorithms for convolutional neural networks"

Connected through hyperedge HE-3 (induced by source paper "the control toolbox an open source c library for robotics optimal and model predictive control"):
  with members:
    - "whole body nonlinear model predictive control through contacts for quadrupeds"
    - "a family of iterative gauss newton shooting methods for nonlinear optimal control"
    - "efficient kinematic planning for mobile manipulators with non holonomic constraints using optimal control"
    - "automatic differentiation of rigid body dynamics for optimal control and estimation"
    - "trajectory optimization through contacts and automatic gait discovery for quadrupeds"
    - "odeint solving ordinary differential equations in c"

Connected through hyperedge HE-4 (induced by source paper "dpp pmrf rethinking optimization for a probabilistic graphical model using data parallel primitives"):
  with members:
    - "mathematical foundations of the graphblas"

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)