By Udo Adamy, Thomas Erlebach (auth.), Roberto Solis-Oba, Klaus Jansen (eds.)
The Workshop on Approximation and on-line Algorithms (WAOA 2003) concerned about the layout and research of algorithms for on-line and computationally tough difficulties. either different types of difficulties have a great number of functions ar- ing from quite a few ?elds. The workshop additionally coated experimental study on approximation and on-line algorithms. WAOA 2003 happened in Budapest, Hungary, from September sixteen to September 18. The workshop was once a part of the ALGO 2003 occasion, which additionally hosted ESA 2003, WABI 2003, and ATMOS 2003. TopicsofinterestforWAOA2003were:competitiveanalysis,inapproximab- ityresults,randomizationtechniques,approximationclasses,scheduling,coloring and partitioning, cuts and connectivity, packing and masking, geometric pr- lems, community layout, and purposes to online game concept and ?nancial difficulties. in line with our demand papers we acquired forty-one submissions. each one submission used to be reviewed by way of not less than three referees, who judged the papers on originality, caliber, and consistency with the subjects of the convention. in line with those reports this system committee chosen 19 papers for presentation on the workshop and for e-book during this lawsuits. This quantity comprises the nineteen chosen papers and five invited abstracts from an ARACNE minisymposium which came about as a part of WAOA.
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Extra resources for Approximation and Online Algorithms: First International Workshop, WAOA 2003, Budapest, Hungary, September 16-18, 2003. Revised Papers
Randomized Priority Algorithms 29 We emphasize that, as in deterministic priority algorithms (and similar to competitive analysis in the online world) the lower bounds we derive are orthogonal to any complexity considerations. In other words, we allow the algorithm unbounded time complexity. As one may expect, the criterion of what precisely constitutes a greedy-like algorithm can be very subjective. , decisions that can be revoked in future iterations (an example of an algorithm in the latter class is the one-pass Admission algorithm of Bar-Noy, Guha, Naor and Schieber ).
A system of users decisions is said to be in a Nash equilibrium if no user can beneﬁt from changing his decision. Simple examples in game theory show that the performance of systems in Nash equilibrium, achieved by non-cooperative users, can be far from the global optimum. Recently, the question of quantifying the decrease in network performance caused by the lack of a centralized authority, received considerable attention among researchers. Koutsoupias and Papadimitriou [5, 8] suggested to investigate the worst-case coordination ratio, which is the ratio between the worst possible Nash equilibrium and the global optimum, as a mean to understand the cost incurred due to the lack of a centralized regulating authority.
L. Graham. Bounds on multiprocessing timing anomalies. SIAM Journal of Applied Mathematics, 17(2):416–429, 1969. 17. S. Guha and S. Khuller. Greedy strikes back: Improved facility location algorithms. In Proceedings of the 9th ACM-SIAM Symposium on Discrete Algorithms, pages 649–657, 1998. 18. D. S. Hochbaum and D. B. Shmoys. Using dual approximation algorithms for scheduling problems: Theoretical and practical results. Journal of the ACM, 34(1):144–162, 1987. 19. R. Impagliazzo and S. Davis. Models of greedy algorithms for graph problems.
Approximation and Online Algorithms: First International Workshop, WAOA 2003, Budapest, Hungary, September 16-18, 2003. Revised Papers by Udo Adamy, Thomas Erlebach (auth.), Roberto Solis-Oba, Klaus Jansen (eds.)