Improved approximation guarantees for weighted matching in the semi-streaming model

Leah Epstein 1 Asaf Levin 2 Julián Mestre 3, * Danny Segev 4
* Auteur correspondant
1 Department of Mathematics
2 Faculty of Industrial Engineering and Management
3 MPII - Max-Planck-Institut für Informatik
4 Department of Statistics
Abstract : We study the maximum weight matching problem in the semi-streaming model, and improve on the currently best one-pass algorithm due to Zelke (Proc. of STACS2008, pages 669-680) by devising a deterministic approach whose performance guarantee is 4.91+epsilon. In addition, we study preemptive online algorithms, a sub-class of one-pass algorithms where we are only allowed to maintain a feasible matching in memory at any point in time. All known results prior to Zelke's belong to this sub-class. We provide a lower bound of 4.967 on the competitive ratio of any such deterministic algorithm, and hence show that future improvements will have to store in memory a set of edges which is not necessarily a feasible matching.
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Communication dans un congrès
Jean-Yves Marion and Thomas Schwentick. 27th International Symposium on Theoretical Aspects of Computer Science - STACS 2010, Mar 2010, Nancy, France. pp.347-358, 2010, Proceedings of the 27th Annual Symposium on the Theoretical Aspects of Computer Science
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Leah Epstein, Asaf Levin, Julián Mestre, Danny Segev. Improved approximation guarantees for weighted matching in the semi-streaming model. Jean-Yves Marion and Thomas Schwentick. 27th International Symposium on Theoretical Aspects of Computer Science - STACS 2010, Mar 2010, Nancy, France. pp.347-358, 2010, Proceedings of the 27th Annual Symposium on the Theoretical Aspects of Computer Science. 〈inria-00456411〉

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