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Titlebook: Approximation and Online Algorithms; 17th International W Evripidis Bampis,Nicole Megow Conference proceedings 2020 Springer Nature Switzer

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發(fā)表于 2025-3-21 16:56:21 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Approximation and Online Algorithms
期刊簡(jiǎn)稱17th International W
影響因子2023Evripidis Bampis,Nicole Megow
視頻videohttp://file.papertrans.cn/161/160425/160425.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Approximation and Online Algorithms; 17th International W Evripidis Bampis,Nicole Megow Conference proceedings 2020 Springer Nature Switzer
影響因子This book constitutes the thoroughly refereed workshop post-proceedings of the 17th International Workshop on Approximation and Online Algorithms, WAOA 2019, held in Munich, Germany, in September 2019 as part of ALGO 2019..The 16 revised full papers presented together with one invited paper in this book were carefully reviewed and selected from 38 submissions. Topics of interest for WAOA 2018 were: graph algorithms; inapproximability results; network design; packing and covering; paradigms for the design and analysis of approximation and online algorithms; parameterized complexity; scheduling problems; algorithmic game theory; algorithmic trading; coloring and partitioning; competitive analysis; computational advertising; computational finance; cuts and connectivity; geometric problems; mechanism design; resource augmentation; and real-world applications..
Pindex Conference proceedings 2020
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,Improved Deterministic Strategy for the Canadian Traveller Problem Exploiting Small Max-(,,?,)-Cutsmost . edges are blocked. The traveller, guided by a strategy, sees an edge is blocked when he visits one of its endpoints. A major result established by Westphal is that the competitive ratio of any deterministic strategy for this problem is at least .. . and . strategies achieve this bound..We ref
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Robust Online Algorithms for Certain Dynamic Packing Problems, of competitive algorithms for dynamic problems, where objects can also depart from the instance. In this work, we give a general framework to obtain so called robust online algorithms for a variety of dynamic problems: these online algorithms achieve an asymptotic competitive ratio of . with migrat
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Approximation Results for Makespan Minimization with Budgeted Uncertainty, the model we consider, which goes back to?[.], once the schedule is defined an adversary can pick a scenario where deviation is added to some of the jobs’ processing times. Given only the maximal cardinality of these jobs, and the magnitude of potential deviation for each job, the goal is to optimi
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Streaming Algorithms for Bin Packing and Vector Scheduling,rial optimization. These are well understood in the traditional online and offline cases, but have been less well-studied when the volume of the input is truly massive, and cannot even be read into memory. This is captured by the streaming model of computation, where the aim is to approximate the co
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An Improved Upper Bound for the Ring Loading Problem,d theorists alike. Given an undirected cycle on . nodes together with non-negative demands between any pair of nodes, the . asks for an unsplittable routing of the demands such that the maximum cumulated demand on any edge is minimized. Let . be the value of such a solution. In the relaxed version o
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On the Cycle Augmentation Problem: Hardness and Approximation Algorithms,links of minimum cardinality whose addition to the graph makes it .-edge-connected. There is an approximation preserving reduction from the mentioned problem to the case . (a.k.a. the Tree Augmentation Problem or TAP) or . (a.k.a. the Cactus Augmentation Problem or CacAP). While several better-than-
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