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arXiv 1809.06950math.COcs.DMmath.PR
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使用少量探测器查找集团

Finding cliques using few probes

Uriel Feige, David Gamarnik, Joe Neeman, Miklós Z. Rácz, Prasad Tetali

摘要:

考虑具有无限计算时间的算法,其探测$n$顶点图的邻接矩阵的条目,并且需要输出团。我们表明,如果输入图是从$G_{n,\frac{1}{2}}$随机抽取的,(并且因此可能具有大小大致为$2\log n$的集团),则对于每个$δ< 2$和常数$\ell$,有一个$α< 2$(这可能取决于$δ$和$\ell$),使得不可能有在$\ell$轮中产生$n^δ$探针的算法(在随机图的选择上)输出大小大于$α\log n$的团。

英文摘要:

Consider algorithms with unbounded computation time that probe the entries of the adjacency matrix of an $n$ vertex graph, and need to output a clique. We show that if the input graph is drawn at random from $G_{n,\frac{1}{2}}$ (and hence is likely to have a clique of size roughly $2\log n$), then for every $δ< 2$ and constant $\ell$, there is an $α< 2$ (that may depend on $δ$ and $\ell$) such that no algorithm that makes $n^δ$ probes in $\ell$ rounds is likely (over the choice of the random graph) to output a clique of size larger than $α\log n$.

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