Gupta, Anupam ; Kumar, Amit ; Roughgarden, Tim (2003) Simpler and better approximation algorithms for network design In: STOC '03: Proceedings of the thirty-fifth annual ACM symposium on Theory of computing, June 9 - 11, 2003, San Diego CA USA.
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Official URL: http://doi.org/10.1145/780542.780597
Related URL: http://dx.doi.org/10.1145/780542.780597
Abstract
We give simple and easy-to-analyze randomized approximation algorithms for several well-studied NP-hard network design problems. Our algorithms improve over the previously best known approximation ratios. Our main results are the following. We give a randomized 3.55-approximation algorithm for the connected facility location problem. The algorithm requires three lines to state, one page to analyze, and improves the best-known performance guarantee for the problem. We give a 5.55-approximation algorithm for virtual private network design. Previously, constant-factor approximation algorithms were known only for special cases of this problem. We give a simple constant-factor approximation algorithm for the single-sink buy-at-bulk network design problem. Our performance guarantee improves over what was previously known, and is an order of magnitude improvement over previous combinatorial approximation algorithms for the problem.
Item Type: | Conference or Workshop Item (Paper) |
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Source: | Copyright of this article belongs to Association for Computing Machinery. |
ID Code: | 123556 |
Deposited On: | 30 Sep 2021 10:40 |
Last Modified: | 30 Sep 2021 10:40 |
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