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

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

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

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

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Game Theory 2, 65–67 (1973) 2. : Potential games. Games and Economic Behavior 14, 124–143 (1996) 3. : Selfish routing and the price of anarchy. The MIT Press (2005) 4. : Worst-case equilibria. , Tison, S. ) STACS 1999. LNCS, vol. 1563, pp. 404–413. Springer, Heidelberg (1999) 5. : Routing and path multicoloring. Inf. 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.

Intelligence 11, 625–656 (1995) 4. : On problems without polynomial kernels. J. of Computer and System Sciences 75(8), 423–434 (2009) 5. : Kernel bounds for disjoint cycles and disjoint paths. , Sanders, P. ) ESA 2009. LNCS, vol. 5757, pp. 635–646. Springer, Heidelberg (2009) 6. : The computational complexity of propositional STRIPS planning. Artificial Intelligence 69(1-2), 165–204 (1994) 7. : Strong computational lower bounds via parameterized complexity. J. of Computer and System Sciences 72(8), 1346–1367 (2006) 8.

G. Spirakis and M. ): CIAC 2013, LNCS 7878, pp. 37–48, 2013. c Springer-Verlag Berlin Heidelberg 2013 38 D. Belazzougui and M. C. Yao in [33]. Since this seminal work, many average optimal algorithms have been proposed, from both a theoretical point of view, like the Backward Dawg Matching (BDM) [15], than from a practical point of view, like the Backward Nondeterministic Dawg Matching (BNDM) [29]. Worst case linear and average optimal algorithms also appeared, mainly by combining a forward algorithm like KMP with a backward search algorithm similar to BDM or BNDM.

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