Cut Tree Algorithms: An Experimental Study
β Scribed by Andrew V Goldberg; Kostas Tsioutsiouliklis
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 654 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0196-6774
No coin nor oath required. For personal study only.
β¦ Synopsis
This is an experimental study of algorithms for the cut tree problem. We study the Gomory-Hu and Gusfield algorithms as well as heuristics aimed to make the former algorithm faster. We develop an efficient implementation of the Gomory-Hu algorithm. We also develop problem families for testing cut tree algorithms. In our tests, the Gomory-Hu algorithm with a right combination of heuristics was significantly more robust than Gusfield's algorithm.
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