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- W2196900980 abstract "We consider the robustness of computational hardness of problems whose input is obtained by applying independent random deletions to worst-case instances. For some classical $NP$-hard problems on graphs, such as Coloring, Vertex-Cover, and Hamiltonicity, we examine the complexity of these problems when edges (or vertices) of an arbitrary graph are deleted independently with probability $1-p > 0$. We prove that for $n$-vertex graphs, these problems remain as hard as in the worst-case, as long as $p > frac{1}{n^{1-epsilon}}$ for arbitrary $epsilon in (0,1)$, unless $NP subseteq BPP$. We also prove hardness results for Constraint Satisfaction Problems, where random deletions are applied to clauses or variables, as well as the Subset-Sum problem, where items of a given instance are deleted at random." @default.
- W2196900980 created "2016-06-24" @default.
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- W2196900980 date "2015-08-09" @default.
- W2196900980 modified "2023-09-27" @default.
- W2196900980 title "On Percolation and $NP$-Hardness" @default.
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