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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Arora, S. Frieze, A. Kaplan, H. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Comput. Sci., Princeton Univ., NJ, USA (Arora, S.) |
| Abstract | We present a randomized procedure for rounding fractional perfect matchings to (integral) matchings. If the original fractional matching satisfies any linear inequality, then with high probability, the new matching satisfies that linear inequality in an approximate sense. This extends the well-known LP rounding procedure of Raghavan and Thompson (1987), which is usually used to round fractional solutions of linear programs. It also solves an open problem of Luby and Nisan (1993) ("Design an NC procedure for converting near-optimum fractional matchings to near-optimum matchings.") We use the rounding procedure to design n/sup 0(logn//spl epsiv/(2)/) time algorithms for the following: (i) an additive approximation to the 0-1 Quadratic Assignment problem (QAP); (ii) a (1+E)-approximation for "dense" instances of many well-known NP-hard problems, including (an optimization formulation of) GRAPH-ISOMORPHISM, MIN-CUT-LINEAR-ARRANGEMENT, MAX-ACYCLIC-SUBGRAPH, MIN-LINEAR-ARRANGEMENT, and BETWEENNESS. (A "dense" graph is one in which the number of edges is /spl Omega/(n/sup 2/); denseness for the other problems is defined in an analogous way). |
| Starting Page | 21 |
| Ending Page | 30 |
| File Size | 1001411 |
| Page Count | 10 |
| File Format | |
| ISBN | 0818675942 |
| ISSN | 02725428 |
| DOI | 10.1109/SFCS.1996.548460 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-10-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Polynomials Contracts Constraint optimization Operations research Cost function Integer linear programming Vectors Approximation algorithms |
| Content Type | Text |
| Resource Type | Article |
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