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Titlebook: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques; 8th International Wo Chandra Chekuri,Klaus Jansen,L

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發(fā)表于 2025-3-21 17:44:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
期刊簡稱8th International Wo
影響因子2023Chandra Chekuri,Klaus Jansen,Luca Trevisan
視頻videohttp://file.papertrans.cn/161/160456/160456.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques; 8th International Wo Chandra Chekuri,Klaus Jansen,L
Pindex Conference proceedings 2005
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發(fā)表于 2025-3-21 23:26:43 | 只看該作者
Die chronischen Albuminurien im Kindesalter,y Kato, Imai, and Asano (ISAAC’02) have given a factor 2 approximation algorithm, however their correctness proof is incomplete. In this note, we propose a rounding 2-approximation algorithm based on a LP-formulation of the minimum Manhattan network problem.
板凳
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地板
發(fā)表于 2025-3-22 08:25:49 | 只看該作者
https://doi.org/10.1007/BFb0116996m requirement. We also show that the integrality gap of a natural LP relaxation for this problem is bounded by .(log . log (.)). On trees, we obtain an improved guarantee of .(log (.)). There is a natural Ω (log .) hardness of approximation for the requirement cut problem.
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發(fā)表于 2025-3-22 10:34:48 | 只看該作者
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發(fā)表于 2025-3-22 14:41:07 | 只看該作者
A Rounding Algorithm for Approximating Minimum Manhattan Networksy Kato, Imai, and Asano (ISAAC’02) have given a factor 2 approximation algorithm, however their correctness proof is incomplete. In this note, we propose a rounding 2-approximation algorithm based on a LP-formulation of the minimum Manhattan network problem.
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發(fā)表于 2025-3-22 20:53:39 | 只看該作者
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發(fā)表于 2025-3-23 02:18:26 | 只看該作者
Approximation Schemes for Node-Weighted Geometric Steiner Tree Problemso find approximation schemes for geometric optimization problems that have a complicated topology. Furthermore the techniques we use provide a more general framework which can be applied to geometric optimization problems with more complex objective functions.
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發(fā)表于 2025-3-23 07:20:53 | 只看該作者
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