Hasna Mohsen Alqahtani, Thomas Erlebach (auth.), Paul G.'s Algorithms and Complexity: 8th International Conference, PDF

By Hasna Mohsen Alqahtani, Thomas Erlebach (auth.), Paul G. Spirakis, Maria Serna (eds.)

ISBN-10: 3642382320

ISBN-13: 9783642382321

ISBN-10: 3642382339

ISBN-13: 9783642382338

This publication constitutes the refereed convention lawsuits of the eighth foreign convention on Algorithms and Complexity, CIAC 2013, held in Barcelona, Spain, in the course of could 22-24, 2013. The 31 revised complete papers awarded have been rigorously reviewed and chosen from seventy five submissions. The papers current present study in all facets of computational complexity and the use, layout, research and experimentation of effective algorithms and knowledge structures.

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Extra resources for Algorithms and Complexity: 8th International Conference, CIAC 2013, Barcelona, Spain, May 22-24, 2013. Proceedings

Sample text

Process. Lett. 80(5), 249–256 (2001) 6. : Routing and wavelength assignment in multifiber WDM networks with non-uniform fiber cost. Computer Networks 50(1), 1–14 (2006) 7. : Complexity of wavelength assignment in optical network optimization. In: INFOCOM. IEEE (2006) 36 E. Bampas et al. 8. : Minimizing maximum fiber requirement in optical networks. J. Comput. Syst. Sci. 72(1), 118–131 (2006) 9. : The price of anarchy of finite congestion games. In: Proceedings of the 37th Annual ACM Symposium on Theory of Computing, STOC, pp.

Computer Networks 50(1), 1–14 (2006) 7. : Complexity of wavelength assignment in optical network optimization. In: INFOCOM. IEEE (2006) 36 E. Bampas et al. 8. : Minimizing maximum fiber requirement in optical networks. J. Comput. Syst. Sci. 72(1), 118–131 (2006) 9. : The price of anarchy of finite congestion games. In: Proceedings of the 37th Annual ACM Symposium on Theory of Computing, STOC, pp. 67–73 (2005) 10. : On the wavelength assignment problem in multifiber WDM star and ring networks. IEEE/ACM Trans.

In our bounds we often refer to three different kinds of time measures: 1. Worst-case time of an algorithm refers to a deterministic time that holds regardless of the input and of the random choices made by the algorithm. 2. Randomized or randomized expected time of an algorithm measures the average time of the algorithm over all possible random choices of the algorithm regardless of the input (it holds for any chosen input). 3. Expected or average time of an algorithm measures the average time of the algorithm considering a probability model on the input.

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Algorithms and Complexity: 8th International Conference, CIAC 2013, Barcelona, Spain, May 22-24, 2013. Proceedings by Hasna Mohsen Alqahtani, Thomas Erlebach (auth.), Paul G. Spirakis, Maria Serna (eds.)


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