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Titlebook: Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques; 15th International W Anupam Gupta,Klaus Jansen,Roc

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期刊全称Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
期刊简称15th International W
影响因子2023Anupam Gupta,Klaus Jansen,Rocco Servedio
视频video
发行地址Fast-track conference proceedings.State-of-the-art research.Up-to-date results
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques; 15th International W Anupam Gupta,Klaus Jansen,Roc
影响因子This book constitutes the joint refereed proceedings of the 15th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2012, and the 16th International Workshop on Randomization and Computation, RANDOM 2012, held in Cambridge, Massachusetts, USA, in August 2011. The volume contains 28 contributed papers, selected by the APPROX Program Committee out of 70 submissions, and 28 contributed papers, selected by the RANDOM Program Committee out of 67 submissions.APPROX focuses on algorithmic and complexity issues surrounding the development of efficient approximate solutions to computationally difficult problems. RANDOM is concerned with applications of randomness to computational and combinatorial problems.
Pindex Conference proceedings 2012
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发表于 2025-3-21 23:15:50 | 显示全部楼层
Additive Approximation for Near-Perfect Phylogeny Constructione on . points over the Boolean hypercube of dimension .. It is known that an optimal tree can be found in linear time [1] if the given dataset has a perfect phylogeny, i.e. cost of the optimal phylogeny is exactly .. Moreover, if the data has a near-perfect phylogeny, i.e. the cost of the optimal St
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Primal-Dual Approximation Algorithms for Node-Weighted Network Design in Planar GraphsDemaine, Hajiaghayi and Klein (ICALP’09). This class includes . problem studied recently by Moldenhauer (ICALP’11) and other node-weighted problems in planar graphs that can be expressed using (0,1)-proper functions introduced by Goemans and Williamson. We show that these problems can be equivalentl
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What’s the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Gridlynomials with a noise term. The frequencies {..} satisfy .. ∈ [.,2. − .] and min . |.. − ..| ≥ . for some . > 0. We design a sublinear time randomized algorithm, which takes .(.log.log(1/.)(log. + log( ∥ . ∥ ./ ∥ . ∥ .)) samples of .(.) and runs in time proportional to number of samples, recovering
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Improved Hardness Results for Profit Maximization Pricing Problems with Unlimited Supplyubset .. ⊆ [.] of items of interest, together with a budget .., and we assume that there is an unlimited supply of each item. Once the prices are fixed for all items, each customer . buys a subset of items in .., according to its buying rule. The goal is to set the item prices so as to maximize the
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iBGP and Constrained Connectivity(AS) in the Internet subject to a natural notion of correctness derived from the standard “hot-potato” routing rules. For both natural versions of the problem (where we measure the size of an overlay by either the number of edges or the maximum degree) we prove that it is NP-hard to approximate to a
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