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Algebraic Algorithms for B-Matching, Shortest Undirected Paths, and F-Factors

机译:B匹配,最短无向路径和F因子的代数算法

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Let G=(V, E) be a graph with f:V to Z_+ a function assigning degree bounds to vertices. We present the first efficient algebraic algorithm to find an f-factor. The time is Õ(f(V)ω). More generally for graphs with integral edge weights of maximum absolute value W we find a maximum weight f-factor in time O(Wf(V)ω). (The algorithms are correct with high probability and can be made Las Vegas.) We also present three specializations of these algorithms: For maximum weight perfect f-matching the algorithm is considerably simpler (and almost identical to its special case of ordinary weighted matching). For the single-source shortest-path problem in undirected graphs with conservative edge weights, we define a generalization of the shortest-path tree, and we compute it in O(Wnω) time. For bipartite graphs, we improve the known complexity bounds for vertex-capacitated max-flow and min-cost max-flow on a subclass of graphs.
机译:令G =(V,E)是f:V到Z_ +的函数,该函数将度界分配给顶点。我们提出了第一个有效的代数算法来找到一个f因子。时间是Õ(f(V)ω)。更一般地,对于具有最大绝对值W的积分边缘权重的图,我们在时间O(Wf(V)ω)中找到最大权重f因子。 (这些算法正确率很高,可以在拉斯维加斯进行。)我们还介绍了这些算法的三个特化:对于最大权重的完美f匹配,该算法要简单得多(并且几乎与普通加权匹配的特殊情况相同) 。对于具有保守边缘权重的无向图中的单源最短路径问题,我们定义了最短路径树的推广,并在O(Wnω)时间中对其进行了计算。对于二部图,我们改进了图子类上顶点限制的最大流和最小成本最大流的已知复杂性界限。

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