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Titlebook: Algorithmic Aspects in Information and Management; 14th International C Zhao Zhang,Wei Li,Ding-Zhu Du Conference proceedings 2020 Springer

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樓主
發(fā)表于 2025-3-21 19:57:01 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Algorithmic Aspects in Information and Management
期刊簡稱14th International C
影響因子2023Zhao Zhang,Wei Li,Ding-Zhu Du
視頻videohttp://file.papertrans.cn/153/152885/152885.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Algorithmic Aspects in Information and Management; 14th International C Zhao Zhang,Wei Li,Ding-Zhu Du Conference proceedings 2020 Springer
影響因子.This volume constitutes the proceedings of the 14th International Conference on Algorithmic Aspects in Information and Management, AAIM 2020, held in Jinhua, China in August 2020. . The 39 full papers and 17 short papers presented were carefully reviewed and selected from 76 submissions. The papers deal with emerging important algorithmic problems with a focus on the fundamental background, theoretical technology development, and real-world applications associated with information and management analysis, modeling and data mining. Special considerations are given to algorithmic research that was motivated by real-world applications..
Pindex Conference proceedings 2020
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Sebastian Horn,Julia Seeger,Leonie Scheuringic . problem, and was proved to have surprisingly rich connection to the . . problem. In this paper, we give approximation algorithms for . using a non-uniform approach combining LP-rounding and the greedy strategy. With a limited violation of the constraint ., we present a good expected approximation ratio . for ..
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Stephan Schütz,Christian Hellmundd the generic submodularity ratio . of the monotone set function, we prove the algorithm deserves an approximation ratio ., consumes . adaptive rounds, and needs . oracle queries in expectation. Moreover, if the set function is submodular (i. e. .), our algorithm can achieve an approximation guarantee . coinciding with the state-of-art result.
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Minimum Diameter Vertex-Weighted Steiner Tree, approximation algorithm where . is tight. For the MDWSTP in vertex-weighted .-PG, we first obtain a .-factor approximation algorithm where . is tight, and then develop a slightly improved approximation algorithm.
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Approximation Algorithms for the Lower-Bounded Knapsack Median Problem,nd the improved second algorithm is based on an intuitive observation. Additionally, we adapt these two algorithms to the lower-bounded .-median problem (LB .-median) and obtain the approximation ratios of 610 and 387.
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