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: "scheduling on a machine with varying speed minimizing cost and energy via dual schedules"
  Abstract: We study two types of problems related with scheduling on a machine of varying speed. In a static model, the speed function is (through an oracle) part of the input and we ask for a cost-efficient scheduling solution. In a dynamic model, deciding upon the speed is part of the scheduling problem and we are interested in the tradeoff between scheduling cost and speed-scaling cost, that is energy consumption. Such problems are relevant in production planning, project management, and in power-management of modern microprocessors. #R##N#We consider scheduling to minimize the total weighted completion time. As our main result, we present a PTAS for the static and the dynamic problem of scheduling on a single machine of varying speed. As a key to our results, we re-interprete our problem within the folkloric two-dimensional Gantt chart: instead of the standard approach of scheduling in the time-dimension, we construct scheduling solutions in the weight-dimension. We also give complexity results, more efficient algorithms for special cases, and a simple (2+epsilon)-approximation for preemptive dynamic speed-scaling with release dates. Our results also apply to the closely related problem of scheduling to minimize generalized global cost functions.

Connected through hyperedge HE-1 (induced by source paper "the local global conjecture for scheduling with non linear cost"):
  with members:
    - "a primal dual approximation algorithm for min sum single machine scheduling problems"
    - "scheduling under dynamic speed scaling for minimizing weighted completion time and energy consumption"
    - "dual techniques for scheduling on a machine with varying speed"
    - "energy in computing systems with speed scaling optimization and mechanisms design"
    - "the geometry of scheduling"

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.DS(Data Structures and Algorithms)