Abstract
Preemptive online algorithms for the maximum matching problem maintain a valid matching M while edges of the underlying graph are presented one after the other. When presented with an edge e, the algorithm should decide whether to augment the matching M by adding e (in which case e may be removed later on) or to keep M in its current form without adding e (in which case e is lost for good). The objective is to eventually hold a matching M with maximum weight. The main contribution of this paper is to establish new lower and upper bounds on the competitive ratio achievable by randomized preemptive online algorithms: • We provide a lower bound of 1+ln2≈1.693 on the competitive ratio of any randomized algorithm for the maximum cardinality matching problem.• We devise a randomized algorithm that achieves an expected competitive ratio of 5.356 for maximum weight matching.
Original language | English |
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Pages (from-to) | 31-40 |
Number of pages | 10 |
Journal | Information and Computation |
Volume | 259 |
DOIs | |
State | Published - Apr 2018 |
Bibliographical note
Publisher Copyright:© 2017 Elsevier Inc.
Keywords
- Competitive analysis
- Lower bounds
- Online matching
ASJC Scopus subject areas
- Theoretical Computer Science
- Information Systems
- Computer Science Applications
- Computational Theory and Mathematics