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Titlebook: WALCOM: Algorithms and Computation; 12th International C M. Sohel Rahman,Wing-Kin Sung,Ryuhei Uehara Conference proceedings 2018 Springer I

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31#
發(fā)表于 2025-3-26 21:11:13 | 只看該作者
Secret Key Amplification from Uniformly Leaked Key Exchange Complete Graph,ependently with a fixed probability . (and, thus, is perfectly secure with a probability of .). Using these pre-shared, possibly leaked keys, we want two designated players to share a common one-bit secret key in cooperation with other players so that Eve’s knowledge about the generated secret key w
32#
發(fā)表于 2025-3-27 01:26:13 | 只看該作者
33#
發(fā)表于 2025-3-27 06:38:44 | 只看該作者
Approximating Partially Bounded Degree Deletion on Directed Graphs,y remaining vertex . is no larger than .(.). It is a classic problem in graph theory and various results have been obtained including an approximation ratio of .?[.], where . is the maximum degree bound..This paper considers BDD on . graphs containing . vertices, which we call .. Despite such a natu
34#
發(fā)表于 2025-3-27 13:07:20 | 只看該作者
35#
發(fā)表于 2025-3-27 16:09:43 | 只看該作者
36#
發(fā)表于 2025-3-27 18:04:14 | 只看該作者
37#
發(fā)表于 2025-3-28 01:11:11 | 只看該作者
38#
發(fā)表于 2025-3-28 04:15:01 | 只看該作者
Two New Schemes in the Bitprobe Model,e literature. One such scheme is to store three elements using two queries in the adaptive bitprobe model. Previously, the maximum number of elements that can be handled using two queries in the adaptive model is two, which is due to Radhakrishnan .?[.]. A corollary of this result is an explicit sch
39#
發(fā)表于 2025-3-28 06:32:41 | 只看該作者
Random Popular Matchings with Incomplete Preference Lists,e problem of matching every person with a unique?item. A?matching . is . if for any other matching ., the number of people who prefer . to . is not less than the number of those who prefer . to .. For given . and ., consider the probability of existence of a popular matching when each person’s prefe
40#
發(fā)表于 2025-3-28 11:22:33 | 只看該作者
Faster Network Algorithms Based on Graph Decomposition,ata structures) from a given graph, then use them for solving the problems. A basic problem is an all pairs maximum flow problem, which consists of two stages. In a preprocessing stage we construct an index, and in a query stage we process the query using the index. We can solve all pairs maximum fl
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