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Titlebook: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques; 7th International Wo Klaus Jansen,Sanjeev Khanna,Da

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樓主: Clinton
31#
發(fā)表于 2025-3-27 00:53:09 | 只看該作者
32#
發(fā)表于 2025-3-27 01:55:47 | 只看該作者
https://doi.org/10.1007/978-3-319-74908-2pping. The total additive distortion is the sum of errors in all pairwise distances in the input data. This problem has been shown to be NP-hard by [13]. We give an .(log.) approximation for this problem by using Garg?.’s?[10] algorithm for the multi-cut problem as a subroutine. Our algorithm also g
33#
發(fā)表于 2025-3-27 07:48:27 | 只看該作者
Dynamics of Geodesic and Horocyclic Flows,hs of at most logarithmic radius, an .(log..) additive approximation algorithm is known, hence our lower bound is tight. To the best of our knowledge, this is the first tight additive polylogarithmic approximation result.
34#
發(fā)表于 2025-3-27 12:48:53 | 只看該作者
Jouni Parkkonen,Frédéric Paulinontains two variables. Hastad shows that this problem is NP-hard to approximate within a ratio of 11/12 + . for .=2, and Andersson, Engebretsen and Hastad show the same hardness of approximation ratio for . ≥ 11, and somewhat weaker results (such as 69/70) for . = 3,5,7. We prove that max-2lin. is e
35#
發(fā)表于 2025-3-27 14:11:03 | 只看該作者
36#
發(fā)表于 2025-3-27 21:14:10 | 只看該作者
37#
發(fā)表于 2025-3-28 01:19:51 | 只看該作者
Theodore P. Hill,Ulrich Krengel algorithms for ... which is the problem to satisfy as many conjunctions, each of size at most ., as possible. As observed by Trevisan, this leads to approximation algorithms with the same approximation ratio for the more general problem ..., where instead of conjunctions arbitrary .-ary constraints
38#
發(fā)表于 2025-3-28 03:50:15 | 只看該作者
39#
發(fā)表于 2025-3-28 06:55:31 | 只看該作者
40#
發(fā)表于 2025-3-28 13:42:03 | 只看該作者
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