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An algorithm for enumerating the near-minimum weight s-t cuts of a graph Ahmet Balcioglu.

机译:枚举图Ahmet Balcioglu的近乎最小权重s-t割的算法。

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摘要

We provide an algorithm for enumerating near-minimum weight s-t cuts in directed and undirected graphs, with applications to network interdiction and network reliability. "Near-minimum" means within a factor of l+epilson of the minimum for some epilson > 0. The algorithm is based on recursive inclusion and exclusion of edges in locally minimum-weight cuts identified with a maximum flow algorithm. We prove a polynomial-time complexity result when epilson = 0, and for epilson > 0 we demonstrate good empirical efficiency. The algorithm is programmed in Java, run on a 733 MHz Pentium III computer with 128 megabytes of memory, and tested on a number of graphs. For example, all 274,550 near-minimum cuts within 10% of the minimum weight can be obtained in 74 seconds for a 627 vertex 2,450 edge unweighted graph. All 20,806 near-minimum cuts within 20% of minimum can be enumerated in 61 seconds on the same graph with weights being uniformly distributed integers in the range 1,10.
机译:我们提供了一种算法,可用于枚举有向图和无向图的近最小权重s-t割,并将其应用于网络拦截和网络可靠性。 “接近最小值”表示对于大于0的某些Epilson,在最小值的l + epilson因子之内。该算法基于递归包含和排除以最大流量算法识别的局部最小权重削减中的边。当Epilson = 0时,我们证明了多项式时间复杂度结果;对于Epilson> 0,我们证明了良好的经验效率。该算法使用Java编程,在733 MHz奔腾III计算机上运行,​​具有128 MB内存,并在许多图形上进行了测试。例如,对于627个顶点2,450个边缘未加权图,可以在74秒内获得最小权重10%内的所有274,550个接近最小的切口。在同一张图上,可以在61秒内枚举所有20,806个接近最小的切口,权重是1,10范围内的整数。

著录项

  • 作者

    Balcioglu Ahmet;

  • 作者单位
  • 年度 2000
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类

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