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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kortsarz, G. Peleg, D. |
| Copyright Year | 1993 |
| Description | Author affiliation: Dept. of Appl. Math. & Comput. Sci., Weizmann Inst. of Sci., Rehovot, Israel (Kortsarz, G.; Peleg, D.) |
| Abstract | This paper concerns the problem of computing the densest k-vertex subgraph of a given graph, namely, the subgraph with the most edges, or with the highest edges-to-vertices ratio. A sequence of approximation algorithms is developed for the problem, with each step yielding a better ratio at the cost of a more complicated solution. The approximation ratio of our final algorithm is O/spl tilde/(n/sup 0.3885/). We also present a method for converting an approximation algorithm for an unweighted graph problem (from a specific class of maximization problems) into one for the corresponding weighted problem, and apply it to the densest subgraph problem.< |
| Starting Page | 692 |
| Ending Page | 701 |
| File Size | 841821 |
| Page Count | 10 |
| File Format | |
| ISBN | 0818643706 |
| DOI | 10.1109/SFCS.1993.366818 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-11-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Approximation algorithms Costs Density measurement Mathematics Computer science Engineering profession Polynomials Topology |
| Content Type | Text |
| Resource Type | Article |
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