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: "non polynomial worst case analysis of recursive programs"
  Abstract: We study the problem of developing efficient approaches for proving worst-case bounds of non-deterministic recursive programs. Ranking functions are sound and complete for proving termination and worst-case bounds of nonrecursive programs. First, we apply ranking functions to recursion, resulting in measure functions. We show that measure functions provide a sound and complete approach to prove worst-case bounds of non-deterministic recursive programs. Our second contribution is the synthesis of measure functions in nonpolynomial forms. We show that non-polynomial measure functions with logarithm and exponentiation can be synthesized through abstraction of logarithmic or exponentiation terms, Farkas' Lemma, and Handelman's Theorem using linear programming. While previous methods obtain worst-case polynomial bounds, our approach can synthesize bounds of the form $\mathcal{O}(n\log n)$ as well as $\mathcal{O}(n^r)$ where $r$ is not an integer. We present experimental results to demonstrate that our approach can obtain efficiently worst-case bounds of classical recursive algorithms such as (i) Merge-Sort, the divide-and-conquer algorithm for the Closest-Pair problem, where we obtain $\mathcal{O}(n \log n)$ worst-case bound, and (ii) Karatsuba's algorithm for polynomial multiplication and Strassen's algorithm for matrix multiplication, where we obtain $\mathcal{O}(n^r)$ bound such that $r$ is not an integer and close to the best-known bounds for the respective algorithms.

Connected through hyperedge HE-1 (induced by source paper "exponential automatic amortized resource analysis"):
  with members:
    - "analysis of logarithmic amortised complexity"
    - "verifying and synthesizing constant resource implementations with types"
    - "bounded expectations resource analysis for probabilistic programs"
    - "work analysis with resource aware session types"
    - "weakest precondition reasoning for expected run times of probabilistic programs"
    - "towards automatic resource bound analysis for ocaml"
    - "denotational cost semantics for functional languages with inductive types"
    - "a combination framework for complexity"

Connected through hyperedge HE-2 (induced by source paper "cost analysis of nondeterministic probabilistic programs"):
  with members:
    - "computational approaches for stochastic shortest path on succinct mdps"
    - "effective divergence analysis for linear recurrence sequences"
    - "ergodic mean payoff games for the analysis of attacks in crypto currencies"
    - "automated recurrence analysis for almost linear expected runtime bounds"
    - "bounded expectations resource analysis for probabilistic programs"
    - "termination of nondeterministic recursive probabilistic programs"
    - "a new proof rule for almost sure termination"
    - "lexicographic ranking supermartingales an efficient approach to termination of probabilistic programs"

Connected through hyperedge HE-3 (induced by source paper "deciding fast termination for probabilistic vass with nondeterminism"):
  with members:
    - "reachability in vector addition systems is primitive recursive in fixed dimension"
    - "the reachability problem for petri nets is not elementary"
    - "efficient algorithms for asymptotic bounds on termination time in vass"
    - "perfect half space games"
    - "automated recurrence analysis for almost linear expected runtime bounds"
    - "bounded expectations resource analysis for probabilistic programs"
    - "complexity hierarchies beyond elementary"
    - "proving differential privacy via probabilistic couplings"

Connected through hyperedge HE-4 (induced by source paper "polynomial invariant generation for non deterministic recursive programs"):
  with members:
    - "polynomial invariants for affine programs"
    - "bounded expectations resource analysis for probabilistic programs"
    - "automated generation of non linear loop invariants utilizing hypergeometric sequences"
    - "polynomial invariants by linear algebra"
    - "termination analysis of probabilistic programs through positivstellensatz s"

Connected through hyperedge HE-5 (induced by source paper "bounded expectations resource analysis for probabilistic programs"):
  with members:
    - "verifying and synthesizing constant resource implementations with types"
    - "how long o bayesian network will i sample thee a program analysis perspective on expected sampling times"
    - "automated recurrence analysis for almost linear expected runtime bounds"
    - "a program logic for union bounds"
    - "termination analysis of probabilistic programs through positivstellensatz s"
    - "weakest precondition reasoning for expected run times of probabilistic programs"
    - "towards automatic resource bound analysis for ocaml"
    - "reasoning about recursive probabilistic programs"

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.PL(Programming Languages)