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Titlebook: Combinatorial Optimization and Applications; 14th International C Weili Wu,Zhongnan Zhang Conference proceedings 2020 Springer Nature Switz

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书目名称Combinatorial Optimization and Applications
副标题14th International C
编辑Weili Wu,Zhongnan Zhang
视频videohttp://file.papertrans.cn/230/229976/229976.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Combinatorial Optimization and Applications; 14th International C Weili Wu,Zhongnan Zhang Conference proceedings 2020 Springer Nature Switz
描述.This volume constitutes the proceedings of the 14th International Conference on Combinatorial Optimization and Applications, COCOA 2020, held in Dallas, TX, USA, in December 2020.. The 55 full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers are grouped into the following topics: Approximation Algorithms; Scheduling; Network Optimization; Complexity and Logic; Search, Facility and Graphs; Geometric Problem; Sensors, Vehicles and Graphs; and Graph Problems. ..Due to the Corona pandemic this event was held virtually..
出版日期Conference proceedings 2020
关键词combinatorial optimization and application; approximation algorithms; network optimization; social netw
版次1
doihttps://doi.org/10.1007/978-3-030-64843-5
isbn_softcover978-3-030-64842-8
isbn_ebook978-3-030-64843-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
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https://doi.org/10.1007/978-3-031-59846-3ing. The first algorithm obtains a fixed size sample and computes the approximate skyline on the sample. The error of the first algorithm is relatively small in most cases, and is almost independent of the input relation size. The second algorithm returns an .-approximation for the exact skyline. Th
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Swati Chauhan,Ojaswini Bansal,Anshul Puriyaeach point and its nearest line is minimized. In this paper, we design a deterministic bi-criteria approximation algorithm that runs in . time and returns at most . lines such that the minimized distance is within 16.. Here . is the minimized distance in the optimal solution with . line centers for
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Kazi Humayun Kabir,Md. Ayatullah Khans is challenging for two main reasons. First, querying on big data sources is costly and even impossible. Second, due to the uneven data quality and overlaps of data sources, querying low-quality sources may return unexpected errors. Thus, it is critical to study approximate query problems on big da
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