多面体、永久体和大因子图

P. Dagum, M. Luby, M. Mihail, U. Vazirani
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引用次数: 54

摘要

研究了一种近似图中完美匹配数的随机算法。介绍并分析了一种算法,该算法是对先前提出和分析的算法的自然简化。其中一个关键思想是从几何角度来看待分析:证明了对于任何图G,著名的Edmonds匹配多面体的k片具有1的放大倍数。对于二部图G=(U, V, E),模U模=模V模=n,有d个边不相交的完美匹配,证明了几乎完美匹配的个数与完美匹配的个数之比不超过n/sup 3n/d/。对于任意常数α >0,这产生了一个完全多项式随机化算法,用于逼近d>或= α n的二部图的完美匹配数。此外,对于某些常数c>0,它是已知的d>或= clog n的二部图的最快逼近算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Polytopes, permanents and graphs with large factors
Randomized algorithms for approximating the number of perfect matchings in a graph are considered. An algorithm that is a natural simplification of one suggested and analyzed previously is introduced and analyzed. One of the key ideas is to view the analysis from a geometric perspective: it is proved that for any graph G the k-slice of the well-known Edmonds matching polytope has magnification 1. For a bipartite graph G=(U, V, E), mod U mod = mod V mod =n, with d edge-disjoint perfect matchings, it is proved that the ratio of the number of almost perfect matchings to the number of perfect matchings is at most n/sup 3n/d/. For any constant alpha >0 this yields a a fully polynomial randomized algorithm for approximating the number of perfect matchings in bipartite graphs with d>or= alpha n. Moreover, for some constant c>0 it is the fastest known approximation algorithm for bipartite graphs with d>or= clog n.<>
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