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检索条件"机构=Algorithms and complexity group"
324 条 记 录,以下是121-130 订阅
排序:
Non-Clashing Teaching Maps for Balls in Graphs∗
arXiv
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arXiv 2023年
作者: Chalopin, Jérémie Chepoi, Victor Mc Inerney, Fionn Ratel, Sébastien Aix-Marseille Université Université de Toulon CNRS LIS Marseille France Algorithms and Complexity Group TU Wien Vienna Austria
Recently, Kirkpatrick et al. [ALT 2019] and Fallat et al. [JMLR 2023] introduced non-clashing teaching and showed it to be the most efficient machine teaching model satisfying the benchmark for collusion-avoidance set... 详细信息
来源: 评论
An algorithmic study of fully dynamic independent sets for map labeling  28
An algorithmic study of fully dynamic independent sets for m...
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28th Annual European Symposium on algorithms, ESA 2020
作者: Bhore, Sujoy Li, Guangping Nöllenburg, Martin Algorithms and Complexity Group TU Wien Austria
Map labeling is a classical problem in cartography and geographic information systems (GIS) that asks to place labels for area, line, and point features, with the goal to select and place the maximum number of indepen... 详细信息
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Weighted Model Counting with Twin-Width
arXiv
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arXiv 2022年
作者: Ganian, Robert Pokrývka, Filip Schidler, André Simonov, Kirill Szeider, Stefan Algorithms and Complexity Group TU Wien Vienna Austria Masaryk University Brno Czech Republic
Bonnet et al. (FOCS 2020) introduced the graph invariant twin-width and showed that many NP-hard problems are tractable for graphs of bounded twin-width, generalizing similar results for other width measures, includin... 详细信息
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Transitions in Dynamic Point Labeling
arXiv
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arXiv 2022年
作者: Depian, Thomas Li, Guangping Nöllenburg, Martin Wulms, Jules Algorithms and Complexity Group TU Wien Vienna Austria Algorithm Engineering Group TU Dortmund Dortmund Germany
The labeling of point features on a map is a well-studied topic. In a static setting, the goal is to find a non-overlapping label placement for (a subset of) point features. In a dynamic setting, the set of point feat...
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Clustered Planarity Variants for Level Graphs
arXiv
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arXiv 2024年
作者: Fink, Simon D. Pfretzschner, Matthias Rutter, Ignaz Sieper, Marie Diana Algorithms and Complexity Group Technische Universität Wien Austria Faculty of Computer Science and Mathematics University of Passau Germany Institute of Computer Science University of Würzburg Germany
We consider variants of the clustered planarity problem for level-planar drawings. So far, only convex clusters have been studied in this setting. We introduce two new variants that both insist on a level-planar drawi... 详细信息
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Noise-Induced Network Topologies
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Physical Review Letters 2023年 第26期130卷 267401-267401页
作者: Frederic Folz Kurt Mehlhorn Giovanna Morigi Theoretische Physik Universität des Saarlandes 66123 Saarbrücken Germany Algorithms and Complexity Group Max-Planck-Institut für Informatik Saarland Informatics Campus 66123 Saarbrücken Germany
We analyze transport on a graph with multiple constraints and where the weight of the edges connecting the nodes is a dynamical variable. The network dynamics results from the interplay between a nonlinear function of... 详细信息
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Enumerating minimal solution sets for metric graph problems
arXiv
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arXiv 2023年
作者: Bergougnoux, Benjamin Defrain, Oscar Inerney, Fionn Mc Institute of Informatics University of Warsaw Poland LIS Aix-Marseille Université France Algorithms and Complexity Group Technische Universität Wien Austria
Problems from metric graph theory like Metric Dimension, Geodetic Set, and Strong Metric Dimension have recently had a strong impact in parameterized complexity by being the first known problems in NP to admit double-... 详细信息
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The complexity of Bayesian network learning: revisiting the superstructure  21
The complexity of Bayesian network learning: revisiting the ...
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Proceedings of the 35th International Conference on Neural Information Processing Systems
作者: Robert Ganian Viktoriia Korchemna Algorithms and Complexity Group TU Wien
We investigate the parameterized complexity of Bayesian Network Structure Learning (BNSL), a classical problem that has received significant attention in empirical but also purely theoretical studies. We follow up on ...
来源: 评论
MaxSAT-Based Postprocessing for Treedepth  26th
MaxSAT-Based Postprocessing for Treedepth
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26th International Conference on Principles and Practice of Constraint Programming, CP 2020
作者: Peruvemba Ramaswamy, Vaidyanathan Szeider, Stefan Algorithms and Complexity Group TU Wien Vienna Austria
Treedepth is an increasingly popular graph invariant. Many NP-hard combinatorial problems can be solved efficiently on graphs of bounded treedepth. Since the exact computation of treedepth is itself NP-hard, recent re... 详细信息
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Skipping the Crowds: Cognitive Impact of Real-Time On-Board Crowding Information in Mass Transit Smartphone Mobility Apps
SSRN
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SSRN 2024年
作者: Prabhakar, Archana Grison, Elise Morgagni, Simone Nöllenburg, Martin Gyselinck, Valérie SNCF Research Department La Plaine Saint-Denis France Université Gustave Eiffel Université Paris Cité Versailles France Algorithms and Complexity Group TU Wien Vienna Austria
Dense mass transit systems are prone to suboptimal exploitation of their infrastructure when passenger congestion concentrates on specific routes, leaving alternative routes underused. This imbalance may arise from pa... 详细信息
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