Low-degree graph partitioning via local search with applications to constraint satisfaction, max cut, and coloring
We present practical algorithms for constructing partitions of graphs into a fixed number of vertex-disjoint subgraphs that satisfy particular degree constraints. We use this in particular to find k-cuts of graphs of maximum degree ∆ that cut at least a k - 1/k (1 + 1/2∆+k-1 ) fraction of the edges,...
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| Main Authors: | , |
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| 格式: | text |
| 語言: | English |
| 出版: |
Institutional Knowledge at Singapore Management University
1997
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| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/173 https://ink.library.smu.edu.sg/context/sis_research/article/1172/viewcontent/LauC1997LowDegree_Graph.pdf |
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| 機構: | Singapore Management University |
| 語言: | English |
| 總結: | We present practical algorithms for constructing partitions of graphs into a fixed number of vertex-disjoint subgraphs that satisfy particular degree constraints. We use this in particular to find k-cuts of graphs of maximum degree ∆ that cut at least a k - 1/k (1 + 1/2∆+k-1 ) fraction of the edges, improving previous bounds known. The partitions also apply to constraint networks, for which we give a tight analysis of natural local search heuristics for the maximum constraint satisfaction problem. These partitions also imply efficient approximations for several problems on weighted bounded-degree graphs. In particular, we improve the best performance ratio for the weighted independent set problem to 3/∆+2 , and obtain an efficient algorithm for coloring 3-colorable graphs with at most 3∆+2/4 colors. |
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