Theoretical Computer Science
Information and Computation
Journal of the ACM (JACM)
Online computation and competitive analysis
Online computation and competitive analysis
On-line Network Optimization Problems
Developments from a June 1996 seminar on Online algorithms: the state of the art
Randomized online algorithms for minimum metric bipartite matching
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
An O(log2k)-competitive algorithm for metric bipartite matching
ESA'07 Proceedings of the 15th annual European conference on Algorithms
The online metric matching problem for doubling metrics
ICALP'12 Proceedings of the 39th international colloquium conference on Automata, Languages, and Programming - Volume Part I
A tight analysis of Brown-Baker-Katseff sequences for online strip packing
Journal of Combinatorial Optimization
Hi-index | 5.23 |
Given a set S ⊆ R of points on the line, we consider the task of matching a sequence (r1, r1,... ) of requests in R to points in S. It has been conjectured [Online Algorithms: The State of the Art, Lecture Notes in Computer Science, Vol. 1442, Springer, Berlin, 1998, pp. 268-280] that there exists a 9-competitive online algorithm for this problem, similar to the so-called "cow path" problem [Inform. and Comput. 106 (1993) 234-252]. We disprove this conjecture and show that no online algorithm can achieve a competitive ratio strictly less than 9.001.Our argument is based on a new proof for the optimality of the competitive ratio 9 for the "cow path" problem.