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| Content Provider | ACM Digital Library |
|---|---|
| Author | Alon, Noga Azar, Yossi Awerbuch, Baruch |
| Abstract | Let X=[1,2,•••,n] be a ground set of n elements, and let S be a family of subsets of X, |S|=m, with a positive cost $c_{S}$ associated with each S ∈ S.Consider the following online version of the set cover problem, described as a game between an algorithm and an adversary. An adversary gives elements to the algorithm from X one-by-one. Once a new element is given, the algorithm has to cover it by some set of S containing it. We assume that the elements of X and the members of S are known in advance to the algorithm, however, the set X' ⊆ X of elements given by the adversary is not known in advance to the algorithm. (In general, X' may be a strict subset of X.) The objective is to minimize the total cost of the sets chosen by the algorithm. Let C denote the family of sets in S that the algorithm chooses. At the end of the game the adversary also produces (off-line) a family of sets $C_{OPT}$ that covers X'. The performance of the algorithm is the ratio between the cost of C and the cost of $C_{OPT}.$ The maximum ratio, taken over all input sequences, is the competitive ratio of the algorithm.We present an O(log m log n) competitive deterministic algorithm for the problem, and establish a nearly matching Ω(log n log m/log log m + log log n) lower bound for all interesting values of m and n. The techniques used are motivated by similar techniques developed in computational learning theory for online prediction (e.g., the WINNOW algorithm) together with a novel way of converting the fractional solution they supply into a deterministic online algorithm. |
| Starting Page | 100 |
| Ending Page | 105 |
| Page Count | 6 |
| File Format | |
| ISBN | 1581136749 |
| DOI | 10.1145/780542.780558 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2003-06-09 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Randomized rounding Competitive analysis Set-cover Derandomization On-line algorithms |
| Content Type | Text |
| Resource Type | Article |
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