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Get Approximation and Online Algorithms: 7th International PDF

By Spyros Angelopoulos (auth.), Evripidis Bampis, Klaus Jansen (eds.)

ISBN-10: 3642124496

ISBN-13: 9783642124495

This booklet constitutes the completely refereed put up workshop complaints of the seventh foreign Workshop on Approximation and on-line Algorithms, WAOA 2009, held in Copenhagen, Denmark, in September 2009 as a part of the ALGO 2009 convention occasion. The 22 revised complete papers awarded have been rigorously reviewed and chosen from sixty two submissions. The workshop coated parts corresponding to algorithmic online game idea, approximation periods, coloring and partitioning, aggressive research, computational finance, cuts and connectivity, geometric difficulties, inapproximability effects, mechanism layout, community layout, packing and overlaying, paradigms for layout and research of approximation and on-line algorithms, parameterized complexity, randomization thoughts, real-world purposes, and scheduling difficulties.

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Extra resources for Approximation and Online Algorithms: 7th International Workshop,WAOA 2009, Copenhagen Denmark, September 10-11, 2009. Revised Papers

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502–509 (2001) 10. : Competitive randomized algorithms for non-uniform problems. Algorithmica 11, 542–571 (1994); Also appeared in: Proc. of the 1st SODA, pp. 301–309 (1990) 11. : Competitive snoopy caching. Algorithmica 3(1), 77–119 (1988); Also appeared in: Proc. of the 27th FOCS, pp. 244–254 (1986) 12. : On-line algorithms versus off-line algorithms: How much is it worth to know the future? In: Proc. of the IFIP 12th World Computer Congress, pp. 416–429 (1992) 13. : Rent, lease or buy: Randomized algorithms for multislope ski rental.

J. Alg. 7(3), 309–322 (1986) Price Fluctuations: To Buy or to Rent Marcin Bienkowski Institute of Computer Science, University of Wroclaw, Poland Abstract. We extend the classic online ski rental problem, so that the rental price may change over time. We consider several models which differ in the knowledge given to the algorithm: whereas the price development is unknown, an algorithm may have full, partial or no knowledge about the duration of the game. We construct algorithms whose competitive ratios are up to constant or logarithmic factors optimal.

In: Proc. of the 25th Symp. on Theoretical Aspects of Computer Science (STACS), pp. 503–514 (2008) 14. : Topology matters: Smoothed competitiveness of metrical task systems. , Habib, M. ) STACS 2004. LNCS, vol. 2996, pp. 489–500. Springer, Heidelberg (2004) 15. : Probabilistic computation: towards a uniform measure of complexity. In: Proc. of the 18th IEEE Symp. on Foundations of Computer Science (FOCS), pp. de Abstract. In this paper we study the Multiple Strip Packing (MSP) problem, a generalization of the well-known Strip Packing problem.

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Approximation and Online Algorithms: 7th International Workshop,WAOA 2009, Copenhagen Denmark, September 10-11, 2009. Revised Papers by Spyros Angelopoulos (auth.), Evripidis Bampis, Klaus Jansen (eds.)


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