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Titlebook: Approximation and Online Algorithms; 6th International Wo Evripidis Bampis,Martin Skutella Conference proceedings 2009 Springer-Verlag Berl

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發(fā)表于 2025-3-21 17:48:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Approximation and Online Algorithms
期刊簡稱6th International Wo
影響因子2023Evripidis Bampis,Martin Skutella
視頻videohttp://file.papertrans.cn/161/160417/160417.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Approximation and Online Algorithms; 6th International Wo Evripidis Bampis,Martin Skutella Conference proceedings 2009 Springer-Verlag Berl
影響因子This book constitutes the thoroughly refereed post workshop proceedings of the 6th International Workshop on Approximation and Online Algorithms, WAOA 2008, held in Karlsruhe, Germany, in September 2008 as part of the ALGO 2008 conference event. The 22 revised full papers presented were carefully reviewed and selected from 56 submissions. The workshop covered areas such as algorithmic game theory, approximation classes, coloring and partitioning, competitive analysis, computational finance, cuts and connectivity, geometric problems, inapproximability results, mechanism design, network design, packing and covering, paradigms for design and analysis of approximation and online algorithms, randomization techniques, real-world applications, and scheduling problems.
Pindex Conference proceedings 2009
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Max-Weight Integral Multicommodity Flow in Spiders and High-Capacity Treesof instances for which exact solutions can be found efficiently. When the tree is a . (i.e. if only one vertex has degree greater than 2) we give a polynomial-time algorithm to find an optimal solution, as well as a polyhedral description of the convex hull of all integral feasible solutions.
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Stackelberg Strategies and Collusion in Network Games with Splittable Flow single atomic follower. Finally, we investigate SCALE for multiple coalitional followers, general networks, and affine linear latencies. We present the first known upper bound on the price of anarchy in this case. Our bound smoothly varies between 1.5 when .=?0 and full efficiency when .=?1.
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Peak Shaving through Resource Bufferingty, with the goal of maximizing the amount by which the peak is reduced. We give efficient optimal algorithms for the offline problem, with and without a bounded battery. We also show how to find the optimal offline battery size, given the requirement that the final battery level equals the initial
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Approximation Algorithms for Prize-Collecting Network Design Problems with General Connectivity Requfunctions in the same form as that of Sharma et al. Using ideas from Goemans and Berstimas [6], we give an (.log.)-approximation algorithm for the resulting problem, where . is the maximum connectivity requirement, and .=?2.54.
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