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: "separable convex optimization problems with linear ascending constraints"
  Abstract: Separable convex optimization problems with linear ascending inequality and equality constraints are addressed in this paper. An algorithm that explicitly characterizes the optimum point in a finite number of steps is described. The optimum value is shown to be monotone with respect to a partial order on the constraint parameters. Moreover, the optimum value is convex with respect to these parameters. This work generalizes the existing algorithms of Morton, von Randow, and Ringwald [Math. Programming, 32 (1985), pp. 238-241] and Viswanath and Anantharam [IEEE Trans. Inform. Theory, 48 (2002), pp. 1295-1318] to a wider class of separable convex objective functions. Computational experiments that compare the proposed algorithm with a standard convex optimization tool are also provided.

Connected through hyperedge HE-1 (induced by source paper "convex separable problems with linear constraints in signal processing and communications"):
  with members:
    - "on the precoder design of a wireless energy harvesting node in linear vector gaussian channels with arbitrary input distribution"
    - "duality and optimization for generalized multi hop mimo amplify and forward relay networks with linear constraints"
    - "power allocation in two hop amplify and forward mimo relay systems with qos requirements"
    - "a tutorial on the optimization of amplify and forward mimo relay systems"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"

Connected through hyperedge HE-2 (induced by source paper "convex separable problems with linear and box constraints"):
  with members:
    - "convex separable problems with linear constraints in signal processing and communications"
    - "power allocation in two hop amplify and forward mimo relay systems with qos requirements"

Connected through hyperedge HE-3 (induced by source paper "decentralized sequential change detection using physical layer fusion"):
  with members:
    - "sending a bi variate gaussian source over a gaussian mac"
    - "sending a bi variate gaussian source over a gaussian mac"

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.IT(Information Theory)