By Ellis L. Johnson (auth.), Nimrod Megiddo, Yinfeng Xu, Binhai Zhu (eds.)
This e-book constitutes the refereed lawsuits of the 1st foreign convention on Algorithmic functions in administration, AAIM 2005, held in Xian, China in June 2005.
The forty six revised complete papers provided including abstracts of two invited talks have been conscientiously reviewed and chosen from a hundred and forty submissions. one of the themes 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, information mining, Knapsack difficulties, and so on.
Read Online or Download Algorithmic Applications in Management: First International Conference, AAIM 2005, Xian, China, June 22-25, 2005. Proceedings PDF
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Additional info for Algorithmic Applications in Management: First International Conference, AAIM 2005, Xian, China, June 22-25, 2005. Proceedings
Theorem 3. Assume that there are n nodes such that any two nodes vi and vj can reach each other using power dα ij . Let K be a subset of the n nodes. It 2 takes O(n ) time to compute a multicast tree for K whose power consumption is within a factor 2c of the optimal, where c is a constant between 6 and 12. 4 Maxmin Node Energy Multicasting In this section, we present another multicast routing algorithm that aims to maximize the minimum remaining node energy at the end of a multicast session. The goal is to make the network survive longer since the network may become disconnected if some node is out of power.
Correa R. and C. Lemarechal , Convergence of Some Algorithms for Convex Minimization, Mathematical Programming, 62, 261-275. 8. Clarke, F. H. , Optimization and Nonsmooth Analysis, Wiley, New York. 9. Martinet, B. , Algorithmes pour la R´esolution de Probl´emes d’Optimisation et de Minimax, Thesis, Universit´e de Grenoble. 36 Oscar Cornejo Z. 10. Martinet, B. , R´egularisation d’Inequations Variationnelles par Approximations Successives, Revue Fran¸caise d’Informatique et Recherche Op´erationnelle, 4, 154-159.
N . Here each δi can be denoted by δi (ti , pi ), which means the investor has to face the regular ticket price pi at the travel time ti . On the other hand, when purchasing a Bahncard at the travel time ti , the investor can obtain a reduced price βpi during the time interval [ti , ti + T ) . Then the competitive analysis of online algorithms often can help the online investor make decisions. 1 Competitive Analysis Assume that an optimal oﬄine investor knows exactly the future travel sequences, and whether to buy Bahncards depends on the less cost incurred according to the following rules: 1.
Algorithmic Applications in Management: First International Conference, AAIM 2005, Xian, China, June 22-25, 2005. Proceedings by Ellis L. Johnson (auth.), Nimrod Megiddo, Yinfeng Xu, Binhai Zhu (eds.)