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A Note on the Random Greedy Independent Set Algorithm

机译:关于随机贪婪独立集算法的一个注记

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摘要

Let r be a fixed constant and let H be an r-uniform, D-regular hypergraph on N vertices. Assume further that D > N-epsilon for some epsilon > 0. Consider the random greedy algorithm for forming an independent set in H. An independent set is chosen at random by iteratively choosing vertices at random to be in the independent set. At each step we chose a vertex uniformly at random from the collection of vertices that could be added to the independent set (i.e. the collection of vertices v with the property that v is not in the current independent set I and I U {v} contains no edge in H). Note that this process terminates at a maximal subset of vertices with the property that this set contains no edge of H; that is, the process terminates at a maximal independent set.
机译:令r为固定常数,令H为N个顶点上的r均匀D正则超图。进一步假设D>N-ε对于某个epsilon>0。考虑在H中形成独立集的随机贪婪算法。通过迭代地随机选择顶点成为独立集来随机选择独立集。在每个步骤中,我们从可以添加到独立集合的顶点集合中随机选择一个统一的顶点(即,具有v不在当前独立集合I和IU {v}中的属性的顶点集合v H中的边缘)。注意,此过程终止于顶点的最大子集,其属性为该集合不包含H的边;也就是说,该过程以最大的独立集终止。

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