On counting independent sets in sparse graphs

M. Dyer, A. Frieze, M. Jerrum
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引用次数: 182

Abstract

We prove two results concerning approximate counting of independent sets in graphs with constant maximum degree /spl Delta/. The first result implies that the Monte-Carlo Markov chain technique is likely to fail if /spl Delta//spl ges/6. The second shows that no fully polynomial randomized approximation scheme can exist for /spl Delta//spl ges/25, unless P=NP under randomized reductions.
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稀疏图中独立集的计数
我们证明了具有恒定最大度/spl Delta/的图中独立集的近似计数的两个结果。第一个结果表明,如果/spl δ //spl为/6,蒙特卡罗马尔可夫链技术可能会失败。第二个证明了/spl Delta//spl ges/25不可能存在完全多项式随机化近似方案,除非在随机化约下P=NP。
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