Fester
发表于 2025-3-30 08:52:32
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真繁荣
发表于 2025-3-30 14:44:01
The Asymptotic Behavior of the Price of Anarchy, hand, for a large class of cost functions (including all polynomials), the price of anarchy . converge to 1 in both heavy and light traffic conditions, and irrespective of the network topology and the number of O/D pairs in the network.
紧张过度
发表于 2025-3-30 18:09:20
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杀子女者
发表于 2025-3-30 23:51:18
Approximate Efficiency in Matching Markets,f the so-called . and the recently-proposed . over the .. Furthermore, we provide the first formal statement and analysis of the ., which is conceptually simpler than the Boston mechanism and has a comparable efficiency guarantee.
果核
发表于 2025-3-31 03:54:46
A Characterization of Undirected Graphs Admitting Optimal Cost Shares,rk design games: an undirected graph is efficient if and only if it does not contain (at least) one out of .. Our characterization implies that several graph classes are efficient: generalized series-parallel graphs, fan and wheel graphs and graphs with small cycles.
Intervention
发表于 2025-3-31 06:12:53
A Characterization of Undirected Graphs Admitting Optimal Cost Shares,rk design games: an undirected graph is efficient if and only if it does not contain (at least) one out of .. Our characterization implies that several graph classes are efficient: generalized series-parallel graphs, fan and wheel graphs and graphs with small cycles.
勤劳
发表于 2025-3-31 10:33:49
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昏迷状态
发表于 2025-3-31 17:15:06
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神圣不可
发表于 2025-3-31 18:05:23
,Don’t Be Greedy: Leveraging Community Structure to Find High Quality Seed Sets for Influence Maximieverage the relation between the spread of cascades and the community structure of social networks. We present “worst-case” theoretical results proving that in certain settings our algorithm outputs seed sets that are a factor of . more influential than those of the greedy algorithm, where . is the
虚假
发表于 2025-4-1 00:44:41
,Don’t Be Greedy: Leveraging Community Structure to Find High Quality Seed Sets for Influence Maximieverage the relation between the spread of cascades and the community structure of social networks. We present “worst-case” theoretical results proving that in certain settings our algorithm outputs seed sets that are a factor of . more influential than those of the greedy algorithm, where . is the