Algorithmic Applications in Management: First International by Ellis L. Johnson (auth.), Nimrod Megiddo, Yinfeng Xu, Binhai

By Ellis L. Johnson (auth.), Nimrod Megiddo, Yinfeng Xu, Binhai Zhu (eds.)

This booklet constitutes the refereed complaints of the 1st overseas convention on Algorithmic functions in administration, AAIM 2005, held in Xian, China in June 2005.

The forty six revised complete papers offered including abstracts of two invited talks have been conscientiously reviewed and chosen from one hundred forty submissions. one of the subject matters addressed are approximation, complexity, computerized timetabling, scheduling algorithms, game-theoretic algorithms, financial equilibrium computation, graph computations, community algorithms, computational geometry, combinatorial optimization, sequencing, community administration, info mining, Knapsack difficulties, and so forth.

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R. S. Johnson. H. Freeman, 1979. 4. V. Kawadia and P. R. Kumar. Power Control and Clustering in Ad Hoc Networks. IEEE INFOCOM 2003, 459–469. 5. K. Mehlhorn. A faster approximation algorithm for the Steiner problem in graphs. Information Processing Letters, vol. 27, 1988, 125–128. 6. R. Ramanathan and R. Rosales-Hain. Topology Control of Multihop Wireless Networks Using Transmit Power Adjustment. IEEE INFOCOM 2000, 404–413. 7. V. Rodoplu and T. Meng. Minimum Energy Mobile Wireless Networks. IEEE Journal on Selected Areas in Communications, Vol.

Clearly, E1 ≥ E2 by Theorem 4. 5 Conclusion We have discussed energy efficient broadcasting and multicasting in in a more general nodal energy model, as well as in the obstacle-free environments. Three energy efficient broadcast and multicast algorithms have been proposed. The main results of this paper are summarized as: 1. The proposal of a minimum energy broadcast routing algorithm for wireless networks in which each node has a lower and an upper bound of energy levels and the communication among certain nodes may be obstructed.

In this paper we study the Bahncard problem originally proposed by Fleischer [2]. We use the notation of BP (C, β, T ) to denote this problem where a Bahncard costs C, reduces any regular ticket price p to βp, and is valid for time T . For example, BP (240 DM, 12 , 1 year) means that if the traveller spends 240 DM for a Bahncard, he is entitled to a percentage discount of 50% price reduction on nearly all train tickets. Fleischer presented a (2 − β)-competitive solution using the traditional deterministic online algorithm for BP (C, β, T ).

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