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Titlebook: Approximation and Online Algorithms; 16th International W Leah Epstein,Thomas Erlebach Conference proceedings 2018 Springer Nature Switzerl

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61#
發(fā)表于 2025-4-1 03:24:10 | 只看該作者
62#
發(fā)表于 2025-4-1 08:19:45 | 只看該作者
Advice Complexity of Priority Algorithmsorithms to have access to advice, i.e., side information precomputed by an all-powerful oracle. Obtaining lower bounds in the priority model without advice can be challenging and may involve intricate adversary arguments. Since the priority model with advice is even more powerful, obtaining lower bo
63#
發(fā)表于 2025-4-1 13:52:27 | 只看該作者
Approximating Node-Weighted ,-MST on Planar Graphsation algorithm for this problem. We achieve this by utilizing the recent Lagrangian-multiplier preserving (LMP) primal-dual 3-approximation for the node-weighted prize-collecting Steiner tree problem by Byrka et al. (SWAT’16) and adopting an approach by Chudak et al. (Math. Prog. ’04) regarding Lag
64#
發(fā)表于 2025-4-1 15:17:21 | 只看該作者
Exploring Sparse Graphs with Advice (Extended Abstract)ot of attention in the last decades and was analyzed in many different settings. The . is a theoretical and abstract model, where an algorithm has to decide how an agent, also called ., moves through a network with . vertices and . edges such that every point of interest is visited at least once. Fo
65#
發(fā)表于 2025-4-1 22:19:58 | 只看該作者
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