Lower bounds to randomized algorithms for graph properties

A. Yao
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引用次数: 50

Abstract

For any property P on n-vertex graphs, let C(P) be the minimum number of edges that need to be examined by any decision tree algorithm for determining P. In 1975 Rivest and Vuillemin settled the Aanderra-Rosenberg Conjecture, proving that C(P) = Ω(n2) for every nontrivial monotone graph property P. An intriguing open question is whether the theorem remains true when randomized algorithms are allowed. In this paper we report progress on this problem, showing that Ω(n(log n)1/12) edges must be examined by a randomized algorithm for determining any nontrivial monotone graph property.
图属性随机化算法的下界
对于n顶点图上的任何性质P,设C(P)为任何判定P的决策树算法需要检验的最小边数。1975年,Rivest和Vuillemin解决了Aanderra-Rosenberg猜想,证明了对于每一个非平凡单调图性质P, C(P) = Ω(n2)。一个有趣的开放性问题是,当允许随机化算法时,该定理是否仍然成立。在本文中,我们报告了这一问题的进展,证明了Ω(n(log n)1/12)条边必须用随机化算法来确定任何非平凡单调图的性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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