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Titlebook: Approximation and Online Algorithms; 20th International W Parinya Chalermsook,Bundit Laekhanukit Conference proceedings 2022 The Editor(s)

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期刊全称Approximation and Online Algorithms
期刊简称20th International W
影响因子2023Parinya Chalermsook,Bundit Laekhanukit
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Approximation and Online Algorithms; 20th International W Parinya Chalermsook,Bundit Laekhanukit Conference proceedings 2022 The Editor(s)
影响因子This book constitutes revised selected papers from the thoroughly refereed workshop proceedings of the 20th International Workshop on Approximation and Online Algorithms, WAOA 2022, which was colocated with ALGO 2022 and took place in Potsdam, Germany, in September 2022..The 12 papers included in these proceedings were carefully reviewed and selected from.21 submissions. They focus on topics such as graph algorithms, network design, algorithmic game theory, approximation and online algorithms, etc..
Pindex Conference proceedings 2022
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Knapsack Secretary Through Boosting,ent sizes and multiple items may be selected if their total size does not exceed the capacity . of a knapsack. Previous works show competitive ratios of 1/(10.) (Babaioff et al.), 1/8.06 (Kesselheim et al.; STOC 2014), and 1/6.65 (Albers, Khan, and Ladewig; APPROX 2019) for the general problem but n
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,An Improved Algorithm for Open Online Dial-a-Ride,r. The objective is to minimize the completion time until all requests have been served. We present a new, parameterized algorithm for this problem and prove that it attains a competitive ratio of . for some choice of its parameter, where . is the golden ratio. This improves the best known bounds fo
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,Stochastic Graph Exploration with Limited Resources, network data sets. Specifically, exploration of social networks constitutes a growing field of research, as they generate a huge amount of data on a daily basis and are the main tool for networking, communications, and content sharing. Exploring these networks is resource-consuming (time, money, en
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,Adaptivity Gaps for the Stochastic Boolean Function Evaluation Problem,wn bit string . of length .. We determine .(.) by sequentially testing the variables of ., each of which is associated with a cost of testing and an independent probability of being true. If a strategy for solving the problem is adaptive in the sense that its next test can depend on the outcomes of
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