Solving Vertex Cover in Polynomial Time on Hyperbolic Random Graphs

نویسندگان

چکیده

Abstract The computational complexity of the VertexCover problem has been studied extensively. Most notably, it is NP-complete to find an optimal solution and typically NP-hard approximation with reasonable factors. In contrast, recent experiments suggest that on many real-world networks run time solve way smaller than even best known FPT-approaches can explain. We link these observations two properties are observed in networks, namely a heterogeneous degree distribution high clustering. To formalize explain behavior, we analyze how branch-and-reduce algorithm performs hyperbolic random graphs, which have become increasingly popular for modeling networks. fact, able show graphs be solved polynomial time, probability. proof relies interesting structural graphs. Since predictions model their own right, conducted showing also practice.

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ژورنال

عنوان ژورنال: Theory of computing systems

سال: 2021

ISSN: ['1432-4350', '1433-0490']

DOI: https://doi.org/10.1007/s00224-021-10062-9