Efficient splitting off algorithms for graphs

Efficient splitting off algorithms for graphs
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高效的图分割算法

DOI:
10.1145/195058.195436
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发表时间:
1994
期刊:
Biochimica et biophysica acta
影响因子:
--
通讯作者:
H. Gabow
H. Gabow
中科院分区:
--
文献类型:
--
作者:
H. Gabow

文献摘要

被引文献

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分开是一个强大的工具,用于证明定理并在图形上开发多项式算法,尤其是对于边缘连接性问题。我们提出有效的算法进行分类,从而导致连通性问题的有效算法。我们改善了vious算法(在子模量上进行BAA),以找到无方向图或多格画的K边缘连接方向。我们还改善了无向和有向多编码的边缘连接增强问题的节拍界限,以及在无向图和多编码上的局部连通性y增强问题中,每个都通过一个因素n。我们还提供了有效的算法,以找到无方向图或多编码的均衡取向。我们的方法是图形转换,可以有效地计算最小s,t-cut的变体的切割。
Splitting off is a powerful tool for proving theorems and developing polynomial-time algorithms on graphs, especially for edge-connectivity problems. We present efficient algorithms for splitting off, leading to efficient algorithms for connectivity problems. We improve pr~ vious algorithms (baaed on submodular flow) to find a k-edge-connected orientation of an undirected graph or Multigraph. We also improve the beat bounds for the edge connectivity augmentation problem for undirected and directed multigraphs, and for the local connectivity y augmentation problem on undirected graphs and multigraphs, each by a factor n. We also give efficient algorithms for finding a well-balanced orientation of an undirected graph or Multigraph. Our approach mea a graph transformation that allows efficient computation of cuts that are variants of the minimum s, t-cut.