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.)

ISBN-10: 3642382320

ISBN-13: 9783642382321

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

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J. 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.

The construction algorithm in [19] uses O(m log m) bits of temporary space during the construction though the constructed index occupies only O(m log σ) bits of space. In our case we strive to reduce the peak consumption during both construction and matching phases and thus need to use a construction algorithm that uses space comparable to the constructed index. This is achieved by the following result: Lemma 2 ([22,23]). Given a text T of length n (or a collection of texts of total length m) over an alphabet of size σ, the indexes of [19] can be constructed in worst-case time O(m log m) using temporary space O(m log σ) bits of space (in addition to the final space of the index).

Bil` o et al. [22] consider several information levels of local knowledge that players may have and give bounds for the price of anarchy in chains, rings and trees. The existence of Nash equilibria and the complexity of recognizing and computing a Nash equilibrium for selfish routing and path coloring games under several payment functions are considered by Georgakopoulos et al. [23]. In [24] upper and lower bounds for the price of Selfish Resource Allocation in Optical Networks 29 anarchy of selfish path coloring with and without routing are presented under functions that charge a player only according to her own strategy.

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